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<?xml-stylesheet type="text/xsl" href="https://e2echina.ti.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>传感器论坛 - 最近的话题</title><link>https://e2echina.ti.com/support/sensors/f/sensors-forum</link><description /><dc:language>zh-CN</dc:language><generator>Telligent Community 13</generator><lastBuildDate>Sat, 30 May 2026 08:59:38 GMT</lastBuildDate><atom:link rel="self" type="application/rss+xml" href="https://e2echina.ti.com/support/sensors/f/sensors-forum" /><item><title>AWR2243: 数据处理问题</title><link>https://e2echina.ti.com/thread/1076422?ContentTypeID=0</link><pubDate>Sat, 30 May 2026 08:59:38 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:3b67175b-450f-4253-ae18-4207787c49c3</guid><dc:creator>? ?</dc:creator><slash:comments>0</slash:comments><comments>https://e2echina.ti.com/thread/1076422?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1076422/awr2243/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/AWR2243" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;AWR2243&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;您好，根据这篇帖子&lt;a href="https://e2echina.ti.com/support/sensors/f/sensors-forum/1075823/awr2243boost-awr2243-cascade-mmwavelink_example-exe-raw-adc-capture-shows-vertical-stripes-in-range-frame-map"&gt;https://e2echina.ti.com/support/sensors/f/sensors-forum/1075823/awr2243boost-awr2243-cascade-mmwavelink_example-exe-raw-adc-capture-shows-vertical-stripes-in-range-frame-map&lt;/a&gt;，现在遇到了以下几个问题：&lt;br&gt;1、根据您说的重新生成编译生成exe文件，通过官方的文件并且已经连接和上电了2243BOOST的级联板子，现在报错TDA连接失败，请问这个问题怎么解决？&lt;br&gt;2、您之前说可能是启动了test source，我看了代码中确实定义了这个参数，但是在运行程序的时候好像没有调用这个参数。&lt;br&gt;3、请问txt文本中的发射天线的配置是怎么定义的？TXenable等于1是指启动第一个天线的意思吗？假设启动其他的天线应该怎么定义。&lt;br&gt;4、在每次生成数据的文件名都是在MMWL_Captuere中，每次采集数据后将文件删除，有时候重新生成数据文件的时候，发现数据的文件大小是叠加的，请问这个问题是正常的吗？是不是应该每次生成数据的时候换一个文件名？&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/0116.132a8a807470753ab8276da68ed76dc7.png" alt="132a8a807470753ab8276da68ed76dc7.png" data-temp-id="132a8a807470753ab8276da68ed76dc7.png-303138"&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>TPS55285: TPS55285VALR双标签，撕开下面是工程样品标签，这种不良率会有影响吗？</title><link>https://e2echina.ti.com/thread/1076385?ContentTypeID=0</link><pubDate>Fri, 29 May 2026 08:46:31 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:06f75fb0-c905-4b6e-8efc-90a36f7ae8f5</guid><dc:creator>user4917928</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1076385?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1076385/tps55285-tps55285valr/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/TPS55285" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;TPS55285&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;hi 你好&lt;/p&gt;
&lt;p&gt;TPS55285VALR 发现有2层标签，撕开上面的发现下面的是工程样品标签。请问这种物料&lt;/p&gt;
&lt;p&gt;是已经属于量产了吗？ 对不良率会有不同吗？&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/TPS55285VALR_2D00_2.png" alt="TPS55285VALR-2.png" data-temp-id="TPS55285VALR-2.png-1495777"&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/TPS55285VALR_2D00_1.png" alt="TPS55285VALR-1.png" data-temp-id="TPS55285VALR-1.png-1600189"&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>IWR6843ISK: IWR6843ISK (MMWAVE-SDK 3.6.0.00) fails to fully initialize on first cold boot - CLI outputs "mmwDem" then hangs</title><link>https://e2echina.ti.com/thread/1076382?ContentTypeID=0</link><pubDate>Fri, 29 May 2026 07:49:20 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:74b5ebf2-c05f-45ef-9d42-adad07c72378</guid><dc:creator>Zhen Heng Liu</dc:creator><slash:comments>1</slash:comments><comments>https://e2echina.ti.com/thread/1076382?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1076382/iwr6843isk-iwr6843isk-mmwave-sdk-3-6-0-00-fails-to-fully-initialize-on-first-cold-boot---cli-outputs-mmwdem-then-hangs/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/IWR6843ISK" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;IWR6843ISK&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Other Parts Discussed in Thread:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/MMWAVEICBOOST" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;MMWAVEICBOOST&lt;/a&gt;, , &lt;a href="https://www.ti.com.cn/tool/cn/MMWAVE-SDK" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;MMWAVE-SDK&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Hardware: IWR6843ISK (custom carrier board, no MMWAVEICBOOST)&lt;/p&gt;
&lt;p&gt;Silicon revision: ES2.0 (IWR68XX QM non-secure ES 02.00)&lt;/p&gt;
&lt;p&gt;SDK: MMWAVE-SDK 3.6.0.00&lt;/p&gt;
&lt;p&gt;Demo: Modified Out-of-Box (OOB) Demo&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;System configuration:&lt;/p&gt;
&lt;p&gt;- Power supply: External 5V/3A power adapter -&amp;gt; custom carrier board -&amp;gt; IWR6843ISK&lt;/p&gt;
&lt;p&gt;- UART baud rate: 115200 for both config port and data output port&lt;/p&gt;
&lt;p&gt;- Serial terminal: XCOM v2.6&lt;/p&gt;
&lt;p&gt;- CLI command interval: 300ms between commands, no additional delay&lt;/p&gt;
&lt;p&gt;- Issue frequency: ~10% of cold boots&lt;/p&gt;
&lt;p&gt;- Firmware version:&lt;/p&gt;
&lt;p&gt;Platform : xWR68xx&lt;/p&gt;
&lt;p&gt;mmWave SDK Version : 03.06.00.00&lt;/p&gt;
&lt;p&gt;Device Info : IWR68XX QM non-secure ES 02.00&lt;/p&gt;
&lt;p&gt;RF F/W Version : 06.03.02.06.20.08.11&lt;/p&gt;
&lt;p&gt;mmWaveLink Version : 01.02.06.06&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Observed Behavior (only on first cold boot, initial configuration attempt):&lt;/p&gt;
&lt;p&gt;- Normal case (90%): After each CLI command, the device returns &amp;quot;Done&amp;quot; then &amp;quot;mmwDemo:/&amp;gt;&amp;quot;. Radar runs normally and outputs data.&lt;/p&gt;
&lt;p&gt;- Failure case (10%): The last command of the configuration file (`sensorStart`) triggers the issue. After sending `sensorStart`, the device returns:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; &amp;quot;Debug: Init Calibration Status = 0x1ffe&amp;quot;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; &amp;quot;Done&amp;quot;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; Then the prompt appears truncated as &amp;quot;mmwDem&amp;quot; (missing &amp;quot;o:/&amp;gt;&amp;quot;) &amp;mdash; only partial characters are printed. After this, the device becomes completely unresponsive. No further CLI commands are accepted, and no radar data is output. A full power cycle is required to recover.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;What I have tried so far:&lt;/p&gt;
&lt;p&gt;- Verified power supply meets IWR6843ISK requirements (using 5V/3A adapter).&lt;/p&gt;
&lt;p&gt;- Verified correct SOP mode and reset sequence.&lt;/p&gt;
&lt;p&gt;- Cannot test with another IWR6843ISK board (only one unit).&lt;/p&gt;
&lt;p&gt;- Attempted fixes already implemented:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; 1. Increased CLI task stack size appropriately.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; 2. Added DPM counter forced clear on boot.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; 3. Reduced frame structure bits as much as possible.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;My modifications to the OOB Demo:&lt;/p&gt;
&lt;p&gt;1. DSS side: Added custom code to calculate golf swing parameters (club speed, impact metrics, etc.) based on the point cloud data.&lt;/p&gt;
&lt;p&gt;2. MSS side: Commented out the original UART output code and wrote new code that only outputs a custom frame format: &amp;quot;Magic Word + Golf Parameters + Tail Marker&amp;quot;. This custom data is transmitted via UART.&lt;/p&gt;
&lt;p&gt;3. Inter-core communication: The golf parameters computed on DSS are transferred to MSS via the payload in the HSRAM (shared memory).&lt;/p&gt;
&lt;p&gt;4. Configuration file: I am using my own custom configuration file (not the default OOB one).&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Questions:&lt;/p&gt;
&lt;p&gt;1. Is this a known issue with MMWAVE-SDK 3.6.0.00 on IWR6843ISK (ES2.0) with a modified OOB demo?&lt;/p&gt;
&lt;p&gt;2. Could the 115200 baud rate cause UART buffer overrun or timing issues that lead to the CLI task hanging on the first boot?&lt;/p&gt;
&lt;p&gt;3. Are there any known differences in boot-up behavior between the standard OOB demo and a modified version that might trigger this problem?&lt;/p&gt;
&lt;p&gt;4. Is there any known issue with APLL calibration during cold start that could lead to intermittent hang? I noticed this was improved in SDK 3.1.1.2, but my SDK is 3.6.0.00.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Debugging assistance needed:&lt;/p&gt;
&lt;p&gt;- What additional debugging steps can I take to capture the root cause?&lt;/p&gt;
&lt;p&gt;- Are there any specific error codes or registers I can read to determine why the CLI task stops responding?&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Thank you for your support.&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>IWR6843ISK: IWR6843ISK (MMWAVE-SDK 3.6.0.00) fails to fully initialize on first cold boot - CLI outputs "mmwDem" then hangs</title><link>https://e2echina.ti.com/thread/1076381?ContentTypeID=0</link><pubDate>Fri, 29 May 2026 07:42:06 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:af34ccf6-bed8-45e9-bac2-ded93f6f27e8</guid><dc:creator>Zhen Heng Liu</dc:creator><slash:comments>1</slash:comments><comments>https://e2echina.ti.com/thread/1076381?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1076381/iwr6843isk-iwr6843isk-mmwave-sdk-3-6-0-00-fails-to-fully-initialize-on-first-cold-boot---cli-outputs-mmwdem-then-hangs/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/IWR6843ISK" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;IWR6843ISK&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Other Parts Discussed in Thread:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/MMWAVEICBOOST" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;MMWAVEICBOOST&lt;/a&gt;, , &lt;a href="https://www.ti.com.cn/tool/cn/MMWAVE-SDK" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;MMWAVE-SDK&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Hardware: IWR6843ISK (custom carrier board, no MMWAVEICBOOST)&lt;/p&gt;
&lt;p&gt;Silicon revision: ES2.0 (IWR68XX QM non-secure ES 02.00)&lt;/p&gt;
&lt;p&gt;SDK: MMWAVE-SDK 3.6.0.00&lt;/p&gt;
&lt;p&gt;Demo: Modified Out-of-Box (OOB) Demo&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;System configuration:&lt;/p&gt;
&lt;p&gt;- Power supply: External 5V/3A power adapter -&amp;gt; custom carrier board -&amp;gt; IWR6843ISK&lt;/p&gt;
&lt;p&gt;- UART baud rate: 115200 for both config port and data output port&lt;/p&gt;
&lt;p&gt;- Serial terminal: XCOM v2.6&lt;/p&gt;
&lt;p&gt;- CLI command interval: 300ms between commands, no additional delay&lt;/p&gt;
&lt;p&gt;- Issue frequency: ~10% of cold boots&lt;/p&gt;
&lt;p&gt;- Firmware version:&lt;/p&gt;
&lt;p&gt;Platform : xWR68xx&lt;/p&gt;
&lt;p&gt;mmWave SDK Version : 03.06.00.00&lt;/p&gt;
&lt;p&gt;Device Info : IWR68XX QM non-secure ES 02.00&lt;/p&gt;
&lt;p&gt;RF F/W Version : 06.03.02.06.20.08.11&lt;/p&gt;
&lt;p&gt;mmWaveLink Version : 01.02.06.06&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Observed Behavior (only on first cold boot, initial configuration attempt):&lt;/p&gt;
&lt;p&gt;- Normal case (90%): After each CLI command, the device returns &amp;quot;Done&amp;quot; then &amp;quot;mmwDemo:/&amp;gt;&amp;quot;. Radar runs normally and outputs data.&lt;/p&gt;
&lt;p&gt;- Failure case (10%): The last command of the configuration file (`sensorStart`) triggers the issue. After sending `sensorStart`, the device returns:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; &amp;quot;Debug: Init Calibration Status = 0x1ffe&amp;quot;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; &amp;quot;Done&amp;quot;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; Then the prompt appears truncated as &amp;quot;mmwDem&amp;quot; (missing &amp;quot;o:/&amp;gt;&amp;quot;) &amp;mdash; only partial characters are printed. After this, the device becomes completely unresponsive. No further CLI commands are accepted, and no radar data is output. A full power cycle is required to recover.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;What I have tried so far:&lt;/p&gt;
&lt;p&gt;- Verified power supply meets IWR6843ISK requirements (using 5V/3A adapter).&lt;/p&gt;
&lt;p&gt;- Verified correct SOP mode and reset sequence.&lt;/p&gt;
&lt;p&gt;- Cannot test with another IWR6843ISK board (only one unit).&lt;/p&gt;
&lt;p&gt;- Attempted fixes already implemented:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; 1. Increased CLI task stack size appropriately.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; 2. Added DPM counter forced clear on boot.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&amp;nbsp; 3. Reduced frame structure bits as much as possible.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;My modifications to the OOB Demo:&lt;/p&gt;
&lt;p&gt;1. DSS side: Added custom code to calculate golf swing parameters (club speed, impact metrics, etc.) based on the point cloud data.&lt;/p&gt;
&lt;p&gt;2. MSS side: Commented out the original UART output code and wrote new code that only outputs a custom frame format: &amp;quot;Magic Word + Golf Parameters + Tail Marker&amp;quot;. This custom data is transmitted via UART.&lt;/p&gt;
&lt;p&gt;3. Inter-core communication: The golf parameters computed on DSS are transferred to MSS via the payload in the HSRAM (shared memory).&lt;/p&gt;
&lt;p&gt;4. Configuration file: I am using my own custom configuration file (not the default OOB one).&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Questions:&lt;/p&gt;
&lt;p&gt;1. Is this a known issue with MMWAVE-SDK 3.6.0.00 on IWR6843ISK (ES2.0) with a modified OOB demo?&lt;/p&gt;
&lt;p&gt;2. Could the 115200 baud rate cause UART buffer overrun or timing issues that lead to the CLI task hanging on the first boot?&lt;/p&gt;
&lt;p&gt;3. Are there any known differences in boot-up behavior between the standard OOB demo and a modified version that might trigger this problem?&lt;/p&gt;
&lt;p&gt;4. Is there any known issue with APLL calibration during cold start that could lead to intermittent hang? I noticed this was improved in SDK 3.1.1.2, but my SDK is 3.6.0.00.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Debugging assistance needed:&lt;/p&gt;
&lt;p&gt;- What additional debugging steps can I take to capture the root cause?&lt;/p&gt;
&lt;p&gt;- Are there any specific error codes or registers I can read to determine why the CLI task stops responding?&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Thank you for your support.&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>IWR1843: 关于用IWR1843测量俯仰角的问题</title><link>https://e2echina.ti.com/thread/1076116?ContentTypeID=0</link><pubDate>Thu, 28 May 2026 05:27:41 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:fc356321-a505-466d-93ce-39d68889c3c0</guid><dc:creator>Zhang Zhang</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1076116?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1076116/iwr1843-iwr1843/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/IWR1843" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;IWR1843&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;span data-type="leaf"&gt;我们现在用IWR1843去测角，1发4收，接收天线垂直摆放，只测俯仰角。用SDK版本为mmwave_sdk_03_06_02_00-LTS。&lt;/span&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;span data-type="leaf"&gt;1、请问需要修改哪些配置，我通过一些资料发现DEMO只支持方位角估计？如果要支持俯仰角怎么修改配置和代码？&lt;/span&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;span data-type="leaf"&gt;2、我看到mmwave_sdk_03_06_02_00-LTS\packages\ti\datapath\dpc\dpu目录下，有两个目录，一个是aoa2dproc，另一个是aoaproc。我们应该选哪个用于编译呢？&lt;/span&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>TDC1011-Q1: TDC1011 Tx的输出电压幅值异常</title><link>https://e2echina.ti.com/thread/1075826?ContentTypeID=0</link><pubDate>Wed, 27 May 2026 08:16:59 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:54068d37-a364-41c5-b00b-362d0774ced1</guid><dc:creator>Feida Xue</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1075826?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1075826/tdc1011-q1-tdc1011-tx/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/TDC1011-Q1" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;TDC1011-Q1&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;Hi sir&lt;/p&gt;
&lt;p&gt;我发现tx电压只有1.8V，stop信号可以接受到。我们想把Tx电压恢复到3.3V，不知道如何解决。下图是示波器的截图，通道1是TX，通道3是stop&lt;br&gt;我们使用的PZT是3MHz 12mm直径的翻边PZT&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/02820.png" alt="2.png" data-temp-id="2.png-40681"&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/4846.jpg" alt="1.jpg" data-temp-id="1.jpg-187968"&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>AWR2243BOOST: AWR2243 Cascade + mmwavelink_example.exe raw ADC capture shows vertical stripes in Range-Frame map</title><link>https://e2echina.ti.com/thread/1075823?ContentTypeID=0</link><pubDate>Wed, 27 May 2026 07:04:06 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:6589d632-3ce7-402a-9e73-2051384129c7</guid><dc:creator>Wei Tai</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1075823?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1075823/awr2243boost-awr2243-cascade-mmwavelink_example-exe-raw-adc-capture-shows-vertical-stripes-in-range-frame-map/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/AWR2243BOOST" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;AWR2243BOOST&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Other Parts Discussed in Thread:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/AWR2243" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;AWR2243&lt;/a&gt;&lt;/p&gt;&lt;p&gt;您好，&lt;br&gt;我目前使用 AWR2243 ES1.1 Cascade board + TDA2XX board，通过 DFP 中的mmwaveconfig.txt文件配置MIMO参数和 mmwavelink_example.exe 进行启动采集数据。通过读取readme文件是不是说明只能修改 mmwaveconfig.txt 中的天线、chirp、frame 等配置参数，暂时不能修改或重新编译应用程序源码。&lt;br&gt;&lt;br&gt;一、应用程序说明中的流程为：&lt;br&gt;1. Master 设置为 SOP4 mode；&lt;br&gt;2. 通过 SPI 下载 meta image；&lt;br&gt;3. Slave devices 设置为 SOP4 mode；&lt;br&gt;4. 通过 SPI 为所有 slave 下载 meta image；&lt;br&gt;5. API parameters 从 mmwaveconfig.txt 读取；&lt;br&gt;6. Framing 期间数据保存到 TDA2XX SSD 的 /mnt/ssd/MMWL_Capture 文件夹；&lt;br&gt;7. 采集完成后通过 WinSCP 取回数据。&lt;/p&gt;
&lt;p&gt;二、我的运行日志中 firmware download 和 RF power up 看起来是成功的，关键日志如下：&lt;br&gt;Meta Image download complete ret = 0&lt;br&gt;Firmware update successful&lt;br&gt;RF Version [2.2.0.13]&lt;br&gt;MSS version [2.2.1.7]&lt;br&gt;mmWaveLink version [2.2.3.2]&lt;br&gt;RF Patch Version [2.2.4.0]&lt;br&gt;MSS Patch version [2.2.2.0]&lt;br&gt;Radar/RF subsystem Power up successful&lt;br&gt;Frame Start Async event&lt;br&gt;Frame End Async event&lt;br&gt;execution Successful&lt;/p&gt;
&lt;p&gt;三、TDA 侧也有类似日志：&lt;br&gt;Connection to TDA successful&lt;br&gt;Setting width = 2048 and height = 64 successful&lt;br&gt;Notifying TDA about start frame successful&lt;/p&gt;
&lt;p&gt;四、我的采集参数大致为：&lt;/p&gt;
&lt;p&gt;中心频率77GHz，调频率是94MHz/s，使得带宽是3GHz，距离分辨率是5cm，以及只采用第一个TX0，只采用1个chirp，每帧64个循环，采集1200帧。&lt;br&gt;numAdcSamples = 256&lt;br&gt;numLoops / chirps per frame = 64&lt;br&gt;RX channels = 4&lt;br&gt;complex ADC data&lt;br&gt;TDA width = 2048&lt;br&gt;TDA height = 64&amp;nbsp;&lt;/p&gt;
&lt;p&gt;五、我用 MATLAB 读取 master_0000_data.bin，按 int16 读取，并按 I/Q 交替解析：&lt;br&gt;adcComplex = adcRaw(1:2:end) + 1j * adcRaw(2:2:end);&lt;br&gt;cube = reshape(adcComplex, Num_Rx, Num_Samples, Num_Chirp, Num_Frame);&lt;br&gt;cube = permute(cube, [2 3 1 4]);&amp;nbsp;&lt;/p&gt;
&lt;p&gt;也就是得到 sample &amp;times; chirp &amp;times; rx &amp;times; frame 的数据。&lt;/p&gt;
&lt;p&gt;六、目前的问题是：现在的运行场景在距离雷达前0.9m的位置是一面墙，在距离墙0.1m左右也就是距离雷达0.8m左右的位置放置了一个铝板，然后通过横向移动来扫描这个铝板 ，现在扫描后的仿真结果出现需要竖线条纹，结果如下图所示。想要得到的结果是在rangbin的20那里会有一条直线并且中间的比较亮，因为中间部分放置的是铝板，现在的这个结果看起来太整齐了，并且也没有检测到铝板，铝板会比其他的更亮。几种数据排列顺序原因都过了，这个是几个中效果最好的。&lt;/p&gt;
&lt;p&gt;&lt;img style="display:block;margin-left:auto;margin-right:auto;" src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/7532.image.png" alt="image.png" width="285" height="232" data-temp-id="image.png-178624"&gt;&lt;/p&gt;
&lt;p&gt;&lt;br&gt;我猜测的一个问题是还在源码中看到了类似如下调用：&lt;br&gt;tsEnableArgs.tsEnable = 1U;&lt;br&gt;retVal = CALL_API(RF_TEST_SOURCE_ENABLE, deviceMap, &amp;amp;tsEnableArgs, 0);&lt;br&gt;&lt;br&gt;但我目前使用的是已经集成好的 mmwavelink_example.exe，不能修改源码，只能修改 mmwaveconfig.txt。&amp;nbsp;&lt;/p&gt;
&lt;p&gt;想请教以下问题：&lt;br&gt;&lt;br&gt;1. 根据上述日志，是否可以认为 AWR2243 的 meta image download / firmware update / RF power up 基本成功？&lt;br&gt;2. 如果日志中 Meta Image download complete ret = 0、Firmware update successful、Radar/RF subsystem Power up successful、Frame Start/End Async event 都正常，是否可以基本排除 firmware download 失败的问题？&lt;br&gt;3. mmwavelink_example.exe 是否默认会调用 RF_TEST_SOURCE_ENABLE？&lt;br&gt;4. 如果 RF_TEST_SOURCE_ENABLE 中 tsEnable = 1，采集到的 ADC raw data 是否会包含内部 test source/模拟目标？&lt;br&gt;5. 如果应用程序是预编译 exe，无法修改源码，只能修改 mmwaveconfig.txt，是否有办法通过配置文件关闭 test source？&lt;br&gt;6. 如果 test source 打开，是否可能导致 Range-Frame 图出现规则竖向条纹，或者导致结果不像真实环境回波？&lt;br&gt;7. 对于 AWR2243 + TDA2XX + mmwavelink_example.exe，是否有官方推荐的 ADC bin 文件解析顺序？我的 I/Q、RX、sample、chirp、frame reshape 顺序是否正确？&lt;br&gt;8. 如果 Range-Frame 图出现整帧竖向条纹，是否可能是 frame boundary、TDA capture start/stop、test source、或 ADC 数据解析顺序导致？TI 是否有推荐的排查步骤？&lt;/p&gt;
&lt;p&gt;9.只采用TX0的话是不是将mmwaveconfig.txt文本种的参数TXenable设置为1就是只采用TX0？&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>AWR2243: AWR2243 Cascade + mmwavelink_example.exe raw ADC capture shows vertical stripes in Range-Frame map</title><link>https://e2echina.ti.com/thread/1075822?ContentTypeID=0</link><pubDate>Wed, 27 May 2026 06:59:30 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:e7cf1b82-bb01-4e33-919d-e602260211d6</guid><dc:creator>Wei Tai</dc:creator><slash:comments>1</slash:comments><comments>https://e2echina.ti.com/thread/1075822?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1075822/awr2243-awr2243-cascade-mmwavelink_example-exe-raw-adc-capture-shows-vertical-stripes-in-range-frame-map/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/AWR2243" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;AWR2243&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;您好，&lt;br&gt;我目前使用 AWR2243 ES1.1 Cascade board + TDA2XX board，通过 DFP 中的mmwaveconfig.txt文件配置MIMO参数和 mmwavelink_example.exe 进行启动采集数据。通过读取readme文件是不是说明只能修改 mmwaveconfig.txt 中的天线、chirp、frame 等配置参数，暂时不能修改或重新编译应用程序源码。&lt;br&gt;&lt;br&gt;一、应用程序说明中的流程为：&lt;br&gt;1. Master 设置为 SOP4 mode；&lt;br&gt;2. 通过 SPI 下载 meta image；&lt;br&gt;3. Slave devices 设置为 SOP4 mode；&lt;br&gt;4. 通过 SPI 为所有 slave 下载 meta image；&lt;br&gt;5. API parameters 从 mmwaveconfig.txt 读取；&lt;br&gt;6. Framing 期间数据保存到 TDA2XX SSD 的 /mnt/ssd/MMWL_Capture 文件夹；&lt;br&gt;7. 采集完成后通过 WinSCP 取回数据。&lt;/p&gt;
&lt;p&gt;二、我的运行日志中 firmware download 和 RF power up 看起来是成功的，关键日志如下：&lt;br&gt;Meta Image download complete ret = 0&lt;br&gt;Firmware update successful&lt;br&gt;RF Version [2.2.0.13]&lt;br&gt;MSS version [2.2.1.7]&lt;br&gt;mmWaveLink version [2.2.3.2]&lt;br&gt;RF Patch Version [2.2.4.0]&lt;br&gt;MSS Patch version [2.2.2.0]&lt;br&gt;Radar/RF subsystem Power up successful&lt;br&gt;Frame Start Async event&lt;br&gt;Frame End Async event&lt;br&gt;execution Successful&lt;/p&gt;
&lt;p&gt;三、TDA 侧也有类似日志：&lt;br&gt;Connection to TDA successful&lt;br&gt;Setting width = 2048 and height = 64 successful&lt;br&gt;Notifying TDA about start frame successful&lt;/p&gt;
&lt;p&gt;四、我的采集参数大致为：&lt;/p&gt;
&lt;p&gt;中心频率77GHz，调频率是94MHz/s，使得带宽是3GHz，距离分辨率是5cm，以及只采用第一个TX0，只采用1个chirp，每帧64个循环，采集1200帧。&lt;br&gt;numAdcSamples = 256&lt;br&gt;numLoops / chirps per frame = 64&lt;br&gt;RX channels = 4&lt;br&gt;complex ADC data&lt;br&gt;TDA width = 2048&lt;br&gt;TDA height = 64&amp;nbsp;&lt;/p&gt;
&lt;p&gt;五、我用 MATLAB 读取 master_0000_data.bin，按 int16 读取，并按 I/Q 交替解析：&lt;br&gt;adcComplex = adcRaw(1:2:end) + 1j * adcRaw(2:2:end);&lt;br&gt;cube = reshape(adcComplex, Num_Rx, Num_Samples, Num_Chirp, Num_Frame);&lt;br&gt;cube = permute(cube, [2 3 1 4]);&amp;nbsp;&lt;/p&gt;
&lt;p&gt;也就是得到 sample &amp;times; chirp &amp;times; rx &amp;times; frame 的数据。&lt;/p&gt;
&lt;p&gt;六、目前的问题是：现在的运行场景在距离雷达前0.9m的位置是一面墙，在距离墙0.1m左右也就是距离雷达0.8m左右的位置放置了一个铝板，然后通过横向移动来扫描这个铝板 ，现在扫描后的仿真结果出现需要竖线条纹，结果如下图所示。想要得到的结果是在rangbin的20那里会有一条直线并且中间的比较亮，因为中间部分放置的是铝板，现在的这个结果看起来太整齐了，并且也没有检测到铝板，铝板会比其他的更亮。几种数据排列顺序原因都过了，这个是几个中效果最好的。&lt;img style="display:block;margin-left:auto;margin-right:auto;" src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/6560.image.png" alt="image.png" width="289" height="256" data-temp-id="image.png-247297"&gt;&lt;/p&gt;
&lt;p&gt;&lt;br&gt;我猜测的一个问题是还在源码中看到了类似如下调用：&lt;br&gt;tsEnableArgs.tsEnable = 1U;&lt;br&gt;retVal = CALL_API(RF_TEST_SOURCE_ENABLE, deviceMap, &amp;amp;tsEnableArgs, 0);&lt;br&gt;&lt;br&gt;但我目前使用的是已经集成好的 mmwavelink_example.exe，不能修改源码，只能修改 mmwaveconfig.txt。&amp;nbsp;&lt;/p&gt;
&lt;p&gt;想请教以下问题：&lt;br&gt;&lt;br&gt;1. 根据上述日志，是否可以认为 AWR2243 的 meta image download / firmware update / RF power up 基本成功？&lt;br&gt;2. 如果日志中 Meta Image download complete ret = 0、Firmware update successful、Radar/RF subsystem Power up successful、Frame Start/End Async event 都正常，是否可以基本排除 firmware download 失败的问题？&lt;br&gt;3. mmwavelink_example.exe 是否默认会调用 RF_TEST_SOURCE_ENABLE？&lt;br&gt;4. 如果 RF_TEST_SOURCE_ENABLE 中 tsEnable = 1，采集到的 ADC raw data 是否会包含内部 test source/模拟目标？&lt;br&gt;5. 如果应用程序是预编译 exe，无法修改源码，只能修改 mmwaveconfig.txt，是否有办法通过配置文件关闭 test source？&lt;br&gt;6. 如果 test source 打开，是否可能导致 Range-Frame 图出现规则竖向条纹，或者导致结果不像真实环境回波？&lt;br&gt;7. 对于 AWR2243 + TDA2XX + mmwavelink_example.exe，是否有官方推荐的 ADC bin 文件解析顺序？我的 I/Q、RX、sample、chirp、frame reshape 顺序是否正确？&lt;br&gt;8. 如果 Range-Frame 图出现整帧竖向条纹，是否可能是 frame boundary、TDA capture start/stop、test source、或 ADC 数据解析顺序导致？TI 是否有推荐的排查步骤？&lt;/p&gt;
&lt;p&gt;9.只采用TX0的话是不是将mmwaveconfig.txt文本种的参数TXenable设置为1就是只采用TX0？&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>LDC5072-Q1-SENSOR-DESIGN-TOOL: Can not set the parameter over 12 on Mechanical Design and Can not use the Customer Sensor page even checked the bottom button</title><link>https://e2echina.ti.com/thread/1075570?ContentTypeID=0</link><pubDate>Tue, 26 May 2026 01:57:28 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:13444077-1745-41c3-af84-a15622ce6e96</guid><dc:creator>L L</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1075570?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1075570/ldc5072-q1-sensor-design-tool-can-not-set-the-parameter-over-12-on-mechanical-design-and-can-not-use-the-customer-sensor-page-even-checked-the-bottom-button/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; LDC5072-Q1-SENSOR-DESIGN-TOOL&lt;br /&gt;&lt;/p&gt;&lt;p&gt;On the Mechanical Design page, is this parameter limited to a maximum of 12? Can it be changed to 16? Also, I previously used the Customer Sensor feature in this software without any issues, but now I find that the function is unavailable. How can I get it working again? Is there any restriction or discrimination against users in China?&lt;a href="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/cases.docx" target="_blank" rel="noopener" data-temp-id="cases.docx-1278777"&gt;cases.docx&lt;/a&gt;&amp;nbsp;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>AWRL1432BOOST-BSD: What principle should we follow exactly for the chirpAdcSkipSamples parameter tuning?</title><link>https://e2echina.ti.com/thread/1075334?ContentTypeID=0</link><pubDate>Mon, 25 May 2026 04:03:30 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:616c94ad-cb82-4f2d-81f2-8bc7eb54cc77</guid><dc:creator>liang su</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1075334?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1075334/awrl1432boost-bsd-what-principle-should-we-follow-exactly-for-the-chirpadcskipsamples-parameter-tuning/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/AWRL1432BOOST-BSD" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;AWRL1432BOOST-BSD&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;Hi TI Expert,&lt;/p&gt;
&lt;p&gt;Hi TI Expert,&lt;/p&gt;
&lt;p&gt;I find chirpTimingCfg 8.1 37 -1 6.7 77(profile_120m_40mpsec_bsdevm_16tracks_with_max_vel_enh.cfg),according to the formula I labeled in the following picture, Now the chirpAdcSkipSamples parameter is 37,but the formula in the code is different from the &lt;strong&gt;Demo_Tuning_Guide &lt;/strong&gt;document ,What principle should we follow exactly for the chirpAdcSkipSamples parameter tuning?&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Motion_Presence_Detection_Demo_Tuning_Guide.pdf：&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;img 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" alt="image.png" width="775" height="406" data-temp-id="image.png-171173"&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;firmware\mmwave_dfp\common：&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;img 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***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" alt="image.png" width="941" height="217" data-temp-id="image.png-38716"&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>AWR2243BOOST: awr2243boost最远测距多少</title><link>https://e2echina.ti.com/thread/1074502?ContentTypeID=0</link><pubDate>Thu, 21 May 2026 08:03:08 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:9c639bc0-ff0d-4681-acb9-64001b5650a8</guid><dc:creator>? ?</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1074502?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1074502/awr2243boost-awr2243boost/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/AWR2243BOOST" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;AWR2243BOOST&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;awr2243boost最远测距多少，我们使用这个demo板子发现最远只能测量到35m的距离，这是什么原因呢&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>PGA460-Q1: 为什么我从寄存器读出的回波数据 一直都是一样的？？</title><link>https://e2echina.ti.com/thread/1074483?ContentTypeID=0</link><pubDate>Thu, 21 May 2026 03:43:57 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:922166a3-02ea-42a5-890b-f3ba5e7a0f5f</guid><dc:creator>w w</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1074483?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1074483/pga460-q1/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/PGA460-Q1" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;PGA460-Q1&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/_7962E86C_-2026_2D00_05_2D00_21-114004.jpg" alt=" "&gt;c&lt;/p&gt;
&lt;p&gt;此图片是我的代码流程&amp;nbsp; 使用的是直驱 40KHZ的倒车雷达&amp;nbsp; 下方图片是寄存器配置&amp;nbsp; 是否可以帮我看一下有错误&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/_7962E86C_-2026_2D00_05_2D00_21-114148.jpg" alt=" "&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/_7962E86C_-2026_2D00_05_2D00_21-114207.jpg" alt=" "&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/_7962E86C_-2026_2D00_05_2D00_21-114223.jpg" alt=" "&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>AWR2243BOOST: 商家2次给我的设备都无法连上BSS FW；芯片型号：AWR2243P BG</title><link>https://e2echina.ti.com/thread/1074461?ContentTypeID=0</link><pubDate>Wed, 20 May 2026 10:28:17 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:085d0f6d-259b-458f-99e3-e9fb409c52b8</guid><dc:creator>meng qi zhang</dc:creator><slash:comments>5</slash:comments><comments>https://e2echina.ti.com/thread/1074461?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1074461/awr2243boost-2-bss-fw-awr2243p-bg/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/AWR2243BOOST" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;AWR2243BOOST&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Other Parts Discussed in Thread:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/AWR2243" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;AWR2243&lt;/a&gt;, &lt;a href="https://www.ti.com.cn/product/cn/AWR1843" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;AWR1843&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/4274.image.png" alt="image.png" data-temp-id="image.png-215758"&gt;&lt;/p&gt;
&lt;p&gt;No.of Devices Detected:0&lt;/p&gt;
&lt;p&gt;这里无论如何都无法获取；&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/7888.image.png" alt="image.png" data-temp-id="image.png-8035"&gt;&lt;/p&gt;
&lt;p&gt;线路连接正常&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/5340.image.png" alt="image.png" data-temp-id="image.png-16403"&gt;&lt;/p&gt;
&lt;p&gt;驱动正常&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/8054.image.png" alt="image.png" data-temp-id="image.png-112467"&gt;&lt;/p&gt;
&lt;p&gt;软件启动正常&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/3678.image.png" alt="image.png" data-temp-id="image.png-5165"&gt;&lt;/p&gt;
&lt;p&gt;执行第一步&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/1121.image.png" alt="image.png" data-temp-id="image.png-20834"&gt;&lt;/p&gt;
&lt;p&gt;报错啦&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/35745.image.png" alt="image.png" data-temp-id="image.png-20924"&gt;&lt;/p&gt;
&lt;p data-ztsl-trans="i" data-ztsl-hover-trans="y"&gt;第二步&lt;/p&gt;
&lt;p&gt;&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/634620.image.png" alt="image.png" data-temp-id="image.png-22175"&gt;&lt;/p&gt;
&lt;p&gt;第三步执行后，永远无法安装插件&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;是否是芯片问题导致的呢，商家卖给我的2次设备都是这种问题&lt;/p&gt;
&lt;p&gt;请求大佬们帮助萌新&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>IWR6843ISK: 用TX=1,RX=3,再用lua输入格式时输入的是变成2lane，但是采集后总是显示的是4lane，但是用软件界面设置参数后采集的就是2lane，怎么回事，是我的lua没下进去吗，但是在软件上的output上有显示参数输入啊</title><link>https://e2echina.ti.com/thread/1074439?ContentTypeID=0</link><pubDate>Tue, 19 May 2026 17:39:27 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:84891873-f2f6-4c6a-beb2-16bc1b1d34cc</guid><dc:creator>?? ?</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1074439?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1074439/iwr6843isk-tx-1-rx-3-lua-2lane-4lane-2lane-lua-output/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/IWR6843ISK" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;IWR6843ISK&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;用TX=1,RX=3,再用lua输入格式时输入的是变成2lane，但是采集后总是显示的是4lane，但是用软件界面设置参数后采集的就是2lane，怎么回事，是我的lua没下进去吗，但是在软件上的output上有显示参数输入啊&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>PGA970: PGA970完整数据手册</title><link>https://e2echina.ti.com/thread/1074438?ContentTypeID=0</link><pubDate>Tue, 19 May 2026 15:04:56 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:c56b29dd-0240-4563-8779-398cb2f6becd</guid><dc:creator>XIAOYONG YAO</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1074438?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1074438/pga970-pga970/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/PGA970" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;PGA970&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;接LVDT传感器，经PGA970信号处理后经SPI通信，需PGA970完整数据手册，或ADC寄存器地址等信息。&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>LDC5072-Q1: 如何设计LDC5072的线圈</title><link>https://e2echina.ti.com/thread/1074410?ContentTypeID=0</link><pubDate>Tue, 19 May 2026 02:22:03 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:01b131df-340f-4734-8bdc-d1744fc0a401</guid><dc:creator>xuelong zhao</dc:creator><slash:comments>4</slash:comments><comments>https://e2echina.ti.com/thread/1074410?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1074410/ldc5072-q1-ldc5072/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/LDC5072-Q1" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;LDC5072-Q1&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Other Parts Discussed in Thread:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/TIDA-010961" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;TIDA-010961&lt;/a&gt;&lt;/p&gt;&lt;p&gt;你好，我现在想使用LDC5072Q1来制作一个电感式编码器，但我的机械安装情况与TIDA-010961 中并不相同，其target board的安装方式为靠近转轴中心的螺纹孔安装，pcb的尺寸大小也不相同，显然比TIDA-010961 中的更大，如下图附件所示，我需要怎样重新设计target board与coil board的线圈，是否只需要将原本TIDA-010961中所示线圈进行等比例缩放，还是需要重新设计线圈，是否有对于线圈的辅助设计工具，或用于生成对应线圈的工具，期待回复，十分感谢&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/8272.image.png" alt="image.png" data-temp-id="image.png-60095"&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>IWRL6432FSPEVM: IWRL6432FSP EVM能否导出ADC后的原始数据</title><link>https://e2echina.ti.com/thread/1074333?ContentTypeID=0</link><pubDate>Sun, 17 May 2026 08:47:33 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:e1f9b459-c72b-4124-9f3d-346916310433</guid><dc:creator>Bingyao Huang</dc:creator><slash:comments>5</slash:comments><comments>https://e2echina.ti.com/thread/1074333?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1074333/iwrl6432fspevm-iwrl6432fsp-evm-adc/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/IWRL6432FSPEVM" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;IWRL6432FSPEVM&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Other Parts Discussed in Thread:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/IWRL6432" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;IWRL6432&lt;/a&gt;, &lt;a href="https://www.ti.com.cn/tool/cn/IWRL6432BOOST" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;IWRL6432BOOST&lt;/a&gt;&lt;/p&gt;&lt;p&gt;根据我的个人理解，IWRL6432FSP EVM既然可输出处理后的点云数据等，那么在其芯片内自然可以获得做处理前的raw adc data。官方文档称IWRL6432可以通过SPI导出raw adc data，但并没有使用FSP evm做例子。那么对于IWRL6432FSP EVM，如何将这个raw adc data导出呢？如果不行，是什么原因使得其无法导出呢&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>TMAG5111-Q1: TMAG5111Q的输出波形振铃及毛刺</title><link>https://e2echina.ti.com/thread/1073859?ContentTypeID=0</link><pubDate>Fri, 15 May 2026 06:36:43 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:78aeaef5-a18a-4a2d-a88a-34fd3a373907</guid><dc:creator>mignli zhao</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1073859?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1073859/tmag5111-q1-tmag5111q/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/TMAG5111-Q1" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;TMAG5111-Q1&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;&amp;nbsp; &amp;nbsp; 我们的设计中采用TMAG5111-Q1B2 采集双离合变速箱的速度及方向，但测试过程中发现有一部芯片约（50%）的速度输出在正转时波形信号清晰，反转时波形信号高低切电平换时有抖动，毛刺。请问这是否该芯片的质量问题？&lt;/p&gt;
&lt;p&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 急切期望得到TI的支持！&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>AWR2243: Do I need to change the software configuration when replacing the AWR2243 from a passive crystal oscillator to an active crystal oscillator?</title><link>https://e2echina.ti.com/thread/1073841?ContentTypeID=0</link><pubDate>Fri, 15 May 2026 06:10:42 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:e7e5c573-a835-422f-a23c-c88376ed21c4</guid><dc:creator>hao zhang</dc:creator><slash:comments>2</slash:comments><comments>https://e2echina.ti.com/thread/1073841?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1073841/awr2243-do-i-need-to-change-the-software-configuration-when-replacing-the-awr2243-from-a-passive-crystal-oscillator-to-an-active-crystal-oscillator/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/AWR2243" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;AWR2243&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;The development board provided for the&amp;nbsp;&lt;strong&gt;AWR2243&lt;/strong&gt;&amp;nbsp;uses a&amp;nbsp;&lt;strong&gt;passive crystal oscillator&lt;/strong&gt;. I want to replace it with a&amp;nbsp;&lt;strong&gt;temperature-compensated active crystal oscillator (TCXO)&lt;/strong&gt;.&lt;/p&gt;
&lt;div&gt;However, I am not sure whether I need to&amp;nbsp;&lt;strong&gt;specify the external clock source type&lt;/strong&gt;&amp;nbsp;in the software configuration, or&amp;nbsp;&lt;strong&gt;disable the internal oscillator&lt;/strong&gt;&amp;nbsp;(similar to configuring other MCUs in bypass mode).&lt;/div&gt;
&lt;div&gt;&amp;nbsp;&lt;/div&gt;
&lt;div&gt;If software configuration changes are required, could you tell me&amp;nbsp;&lt;strong&gt;which specific registers I need to modify&lt;/strong&gt;?&lt;/div&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>IWR1642BOOST: IWR1642BOOST: How to synchronize frame acquisition between two radars separated by 100m?</title><link>https://e2echina.ti.com/thread/1073568?ContentTypeID=0</link><pubDate>Wed, 13 May 2026 09:44:30 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:6deec6ff-3d64-4b52-8c8a-949fed9691df</guid><dc:creator>weiqiang zhang</dc:creator><slash:comments>4</slash:comments><comments>https://e2echina.ti.com/thread/1073568?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1073568/iwr1642boost-iwr1642boost-how-to-synchronize-frame-acquisition-between-two-radars-separated-by-100m/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/IWR1642BOOST" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;IWR1642BOOST&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Other Parts Discussed in Thread:&lt;/b&gt;  &lt;a href="https://www.ti.com.cn/product/cn/IWR1642" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;IWR1642&lt;/a&gt;&lt;/p&gt;&lt;p&gt;Hello,&lt;/p&gt;
&lt;p&gt;We are planning to use two IWR1642BOOST boards to build a synchronized acquisition setup for a research experiment.&lt;/p&gt;
&lt;p&gt;The two radars are separated by about 100 meters. One radar will be placed at the starting point and the other radar will be placed at the ending point. Both radars will observe the same moving target simultaneously.&lt;/p&gt;
&lt;p&gt;We would like to align the collected data in time during post-processing.&lt;/p&gt;
&lt;p&gt;Could you please help confirm:&lt;/p&gt;
&lt;p&gt;1. Does IWR1642BOOST support frame-level synchronization between two boards?&lt;br&gt;2. Can SYNC_IN / SYNC_OUT be used for synchronization?&lt;br&gt;3. Is there any recommended synchronization solution for two radars separated by about 100 meters?&lt;br&gt;4. Are there any reference examples or recommended hardware connections for this setup?&lt;/p&gt;
&lt;p&gt;Thank you.&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>IWRL6432FSPEVM: IWRL6432FSPEVM是否可以连接外部采集卡，如DCA1000EVM</title><link>https://e2echina.ti.com/thread/1073564?ContentTypeID=0</link><pubDate>Wed, 13 May 2026 08:14:41 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:f2c21906-bc4e-42c4-8304-a3b3fd4805fd</guid><dc:creator>Bingyao Huang</dc:creator><slash:comments>1</slash:comments><comments>https://e2echina.ti.com/thread/1073564?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1073564/iwrl6432fspevm-iwrl6432fspevm-dca1000evm/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/IWRL6432FSPEVM" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;IWRL6432FSPEVM&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Other Parts Discussed in Thread:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/DCA1000EVM" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;DCA1000EVM&lt;/a&gt;,&lt;/p&gt;&lt;p&gt;请问IWRL6432FSPEVM是否可以连接外部采集卡（如DCA1000EVM）&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>AWR2243BOOST: AWR2243BOOST   ES0.0   样片需要那个版本固件</title><link>https://e2echina.ti.com/thread/1073559?ContentTypeID=0</link><pubDate>Wed, 13 May 2026 06:34:57 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:749cd968-5a42-42bc-91f7-d9c0df003cfe</guid><dc:creator>meng qi zhang</dc:creator><slash:comments>3</slash:comments><comments>https://e2echina.ti.com/thread/1073559?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1073559/awr2243boost-awr2243boost-es0-0/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/AWR2243BOOST" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;AWR2243BOOST&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Other Parts Discussed in Thread:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/AWR2243" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;AWR2243&lt;/a&gt;&lt;/p&gt;&lt;p&gt;萌新刚入行，想咨询：&lt;/p&gt;
&lt;p&gt;Device type = TEST, Part number = 0x0, ES:0.0&lt;/p&gt;
&lt;p&gt;AWR2243 ES0.0 样片需要那个固件&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;[14:25:56] &amp;nbsp;[RadarAPI]: Error: Calling_ReadAddr_Single exception: 端口被关闭。. Check connection to device.&lt;br&gt;&amp;nbsp; [14:25:56] &amp;nbsp;[RadarAPI]: Error: Calling_ReadAddr_Single exception: 端口被关闭。. Check connection to device.&lt;br&gt;&amp;nbsp; [14:25:56] &amp;nbsp;[RadarAPI]: Warning: #####Timeout : 100&lt;br&gt;&amp;nbsp; [14:25:57] &amp;nbsp;[RadarAPI]: ar1.Calling_IsConnected()&lt;br&gt;&amp;nbsp; [14:25:58] &amp;nbsp;[RadarAPI]: Part number of the device = 0x0&lt;br&gt;&amp;nbsp; [14:25:58] &amp;nbsp;[RadarAPI]: Device type = TEST&lt;br&gt;&amp;nbsp; [14:25:58] &amp;nbsp;Device Status : UnDetDe/QM/SOP:Inv/ES:0.0&lt;br&gt;&amp;nbsp; [14:26:23]&lt;br&gt;&amp;nbsp; [14:26:23] &amp;nbsp;Lua Error:&lt;br&gt;&amp;nbsp; [14:26:23] &amp;nbsp;[string "chunk"]:1: attempt to call field &amp;#39;SPIConnect&amp;#39; (a nil value)&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;[RadarAPI]: Opening Gpio Control Port()&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;Status: Failed to open/close GpioControl, Error Type: PROTOCOL ERROR&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;[RadarAPI]: ar1.Disconnect()&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;[RadarAPI]: ar1.Calling_ATE_DisconnectTarget()&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;[RadarAPI]: ar1.Calling_IsConnected()&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;[RadarAPI]: ar1.SaveSettings(&amp;#39;C:\Users\89221\AppData\Roaming\RSTD\ar1gui.ini&amp;#39;)&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;[RadarAPI]: Error: Calling_ReadAddr_Single exception: 端口被关闭。. Check connection to device.&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;[RadarAPI]: Opening Board Control Port()&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;[RadarAPI]: Status: Failed to open/close BoardControl, Error value: -1&lt;br&gt;&amp;nbsp; [14:26:38] &amp;nbsp;[RadarAPI]: Error: Calling_ReadAddr_Single exception: 端口被关闭。. Check connection to device.&lt;br&gt;&amp;nbsp; [14:26:39] &amp;nbsp;[RadarAPI]: ar1.FullReset()&lt;br&gt;&amp;nbsp; [14:26:39] &amp;nbsp;[RadarAPI]: Status: Failed To give full reset, Error Value: -7&lt;br&gt;&amp;nbsp; [14:26:40] &amp;nbsp;[RadarAPI]: ar1.SOPControl(2)&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>HDC1080: HDC1080 第二次连续读取温湿度时，只有温度高字节更新，温度低字节和湿度都返回FF,可能时什么原因？</title><link>https://e2echina.ti.com/thread/1073090?ContentTypeID=0</link><pubDate>Mon, 11 May 2026 10:57:28 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:dc476960-2742-4fe4-96be-a8657b7f6040</guid><dc:creator>zhuo yuan</dc:creator><slash:comments>6</slash:comments><comments>https://e2echina.ti.com/thread/1073090?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1073090/hdc1080-hdc1080-ff/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/HDC1080" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;HDC1080&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;测试的波形如下：&lt;img src="https://e2echina.ti.com/cfs-file/__key/communityserver-discussions-components-files/118/3821.image.png" alt="image.png" data-temp-id="image.png-458450"&gt;&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>AWR2243-2X-CAS-EVM: MMWCAS-RF-EVM与MMWCAS-DSP-EVM使用</title><link>https://e2echina.ti.com/thread/1072987?ContentTypeID=0</link><pubDate>Mon, 11 May 2026 06:54:26 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:20ef6877-aaf4-4d47-9fab-bb843bc38a90</guid><dc:creator>yan lv</dc:creator><slash:comments>4</slash:comments><comments>https://e2echina.ti.com/thread/1072987?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1072987/awr2243-2x-cas-evm-mmwcas-rf-evm-mmwcas-dsp-evm/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/tool/cn/AWR2243-2X-CAS-EVM" class="internal-link folder tool" title="Link to Tool Folder" target="_blank"&gt;AWR2243-2X-CAS-EVM&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;您好，我在官网只找到了旧版四级联awr1243p用户指南，是否有更详细的新内容和开箱即用的指导，以及能否实时展示点云数据，关于如何修改配置sdk等文件&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item><item><title>LM5069: 存在使用失效情况</title><link>https://e2echina.ti.com/thread/1072430?ContentTypeID=0</link><pubDate>Fri, 08 May 2026 09:26:31 GMT</pubDate><guid isPermaLink="false">91561404-af28-475a-b96b-cb6cbaadd097:10f6706e-a532-4665-bec0-0ada48550293</guid><dc:creator>Peace Li</dc:creator><slash:comments>1</slash:comments><comments>https://e2echina.ti.com/thread/1072430?ContentTypeID=0</comments><wfw:commentRss>https://e2echina.ti.com/support/sensors/f/sensors-forum/1072430/lm5069/rss?ContentTypeId=0</wfw:commentRss><description>&lt;p&gt;&lt;b&gt;Part Number:&lt;/b&gt; &lt;a href="https://www.ti.com.cn/product/cn/LM5069" class="internal-link folder product" title="Link to Product Folder" target="_blank"&gt;LM5069&lt;/a&gt;&lt;br /&gt;&lt;/p&gt;&lt;p&gt;出现控制Pmos管击穿的情况&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item></channel></rss>