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IWR6843AOP: Problems after 3D People Tracking modification for Low Power Mode

Thiam Chi Gan
Prodigy 100 points
Part Number: IWR6843AOP
Other Parts Discussed in Thread: IWR6843

Tool/software:

Hi TI,

After I did some modification on the example <C:\ti\radar_toolbox_3_00_00_05\source\ti\examples\Industrial_and_Personal_Electronics\People_Tracking\3D_People_Tracking> with the reference of Low Power Mode <C:\ti\radar_toolbox_3_00_00_05\source\ti\examples\Fundamentals\xWR6843_Low_Power_Modes>, I have a lot frame errors when frameperiod is 55ms and firmware no response after a while.

mmWave configurations is using this as reference <C:\ti\radar_toolbox_3_00_00_05\source\ti\examples\Industrial_and_Personal_Electronics\People_Tracking\3D_People_Tracking\chirp_configs\AOP_6m_default.cfg>.

I had read the documents <适用于IWR6843系列毫米波雷达SOC的软件功耗优化示例> or <ti.com/lit/an/swra689/swra689.pdf?ts=1743047875163> for low power design

  1. Are there any example that have similar Low Power Mode feature with DSP in use?
  2. using 3D People Tracking example, which part of the firmware indicates the "Acquisition & 1D FFT" ends or the "Capon BF" starts?
  3. I am having some corrupted frames after the code changes for power saving, may I have your help to look into it? Below attached two main code <mss_main.c> and <pcount3D_cli.c> edited for test using example, <C:\ti\radar_toolbox_3_00_00_05\source\ti\examples\Industrial_and_Personal_Electronics\People_Tracking\3D_People_Tracking>
    1. I am not using calibData saveEnable restoreEnable. Using the first frame to calibrate the RF, use the calib data for the rest of the frame.
    2. When <frameCfg> using <framePeriodicity=55ms> and <trackingCfg> using <framePeriod=55ms>, a lot of data output from mmwave cannot be decoded.
    3. When <frameCfg> using <framePeriodicity=80ms> and <trackingCfg> using <framePeriod=80ms>, less data output frame mmwave cannot be decoded.
    4. Around 20 minutes, the mmwave firmware hung without DATA outputs. SW Reset required to recover the mmwave firmware.

mss_main.c: /cfs-file/__key/communityserver-discussions-components-files/1023/7450.mss_5F00_main.c

pcount3D_cli.c: /cfs-file/__key/communityserver-discussions-components-files/1023/7450.pcount3D_5F00_cli.c

mmwave.cfg used for this modification:

sensorStop
flushCfg
dfeDataOutputMode 1
channelCfg 15 7 0
adcCfg 2 1
adcbufCfg -1 0 1 1 1
lowPower 0 0
profileCfg 0 60.75 30.00 25.00 59.10 394758 0 54.71 1 96 2950.00 2 1 36 
chirpCfg 0 0 0 0 0 0 0 1
chirpCfg 1 1 0 0 0 0 0 2
chirpCfg 2 2 0 0 0 0 0 4
frameCfg 0 2 96 0 80.00 1 0
dynamicRACfarCfg -1 4 4 2 2 8 12 4 12 5.00 8.00 0.40 1 1
staticRACfarCfg -1 6 2 2 2 8 8 6 4 8.00 15.00 0.30 0 0
dynamicRangeAngleCfg -1 0.75 0.0010 1 0
dynamic2DAngleCfg -1 3.0 0.0300 1 0 1 0.30 0.85 8.00
staticRangeAngleCfg -1 0 8 8
antGeometry0 -1 -1 0 0 -3 -3 -2 -2 -1 -1 0 0
antGeometry1 -1 0 -1 0 -3 -2 -3 -2 -3 -2 -3 -2
antPhaseRot 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1
fovCfg -1 70.0 70.0
compRangeBiasAndRxChanPhase 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
boundaryBox -3 3 0 6 0 3
sensorPosition 2 0 25
gatingParam 3 2 2 3 3
stateParam 1 3 12 100 200 200
allocationParam 5 100 0.1 5 1.0 20
maxAcceleration 0.1 0.1 0.1
trackingCfg 1 2 800 30 46 96 80
calibData 1
idlePowerMode 200 1 1 1 1 1
sensorStart
sensorXY 0 -3 2 0 25

When <frameCfg> using <framePeriodicity=55ms> and <trackingCfg> using <framePeriod=55ms>, the frame error output as below:

# hexlified raw data
rawdata = b'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'

frameHeader = (506660481457717506, 50725376, 1856, 682051, 1, 0, 150, 5, 0)

# Compressed points, ends up with a lot of 0xF and 0x0
tlvType=1020, tlvLength=1220
frameData[:tlvLength] = b'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'

# Cannot decode for the rest of TLV
tlvType=4042321920, tlvLength=15728880
2025-04-11 10:09:58,600 - p19028 - INFO - Invalid TLV type: 4042321920

When <frameCfg> using <framePeriodicity=80ms> and <trackingCfg> using <framePeriod=80ms>, the frame error output as below:

# hexlified rawdata
rawdata = b'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'

frameHeader = (506660481457717506, 50725376, 1664, 682051, 1, 0, 115, 5, 0)

# Compressed points TLV
tlvType=1020, tlvLength=940
frameData[:tlvLength] = b'0ad7233c0ad7233cf7cc92396f1283390ad7233dea88f900ea06b902ea8bf900ea06b302ea8ef900ea06a602ea90f900ea069302de88f900782b99001b8de2031e4877021b8de2031b49a002ea92f900ea067a02de8bf900782b9f001b8fe2031e48e8021b8fe2031b49fe02e693f900ea065e02de8df900782b9f001b92e2031e486b031b92e2031b496203e695f900ea064202de90f900782b9f001b94e2031b49c303e697f900ea062302c76df90021475502c76df9001e48a4041b96e2031b491d04d58bf900184aea00ea99e203d75e7d00e699f900ea060702cc81e20324461c01c776f9002147b302c776f9001e484305179ae2031b495f04d58df900184a0701ea9be203d75e8a00e69bf900ea06eb01e69bf9007b2a8d00cc85e20324463f01c77bf90021471d03c77bf9001e48c605179ce2031b497e04d590f900184a2601ea9de203d75e9300c780f9008e249000e69df9007b2a8d00cc88e20324466401c780f90021479703c780f9001e481b06179ee2031b497504d592f900184a4b01e69de203d75e9c00cc8b07ffc2138300c784f9008e249300e69ff9007b2a9000c784e20324468d01c784f90021471a04c278f9001e48270617a0e2031b494304d595f900184a7701e69fe203d75ea3001b9e52f59f709900c787e2032446bc01c37df9002147a004c27df9001e48ef0517a2e2031b49f503d193f900184aac01d597f900154b8000e6a1e203d75ea300c78ae2032446ee01c282f90021471d05c282f9001e487e05d195f900184ae401e6a2e203d75e9c00c285f90021477e05d198f900184a2902c289f9002147b705d19af900184a7102d19cf900184abc02d19ef900184a0403cc9cf900184a3f03d5a3f900154bac00c397e20324461003cca1f900184a5f033faedb0456369c00b8a7f1012b44a001b8a9f1012b44ee01b8abf1012b444c02b8adf1012b44b302b8aff1012b441d03b8b0f1012b447103b3adf1012b449703b3b0f1012b447e03b3b2f1012b443303b8b8db042745f400b8bae203be66a600b3b907ff00d50dac004ac4d305db0b26013fcaf101d80c860035cef900d50dc80049c6d305db0b3f013fcbf101d80c9c0035cff900d50dea002dd1f900d20ece0049c8d305db0b52013fcdf101d80cb50031d1f900d50d130149c9d305db0b61013fcef101d80cce0031d3f900d50d4201b3c7db046531df0449cbd305db0b64013fd0f101d80cea0031d4f900d50d7101b8cce20368308103b3c9cc066531850549cdd305db0b6101f2030000c001000000000000f6b4b4be70b55b3eb79ec9'

# TLV cannot be decoded for the rest
tlvType=44501821, tlvLength=205607613
2025-04-11 10:07:05,388 - p19028 - INFO - Invalid TLV type: 44501821

  • 0
    TI__Mastermind 21131 points

    Hello, 

    Thiam Chi Gan said:
    Are there any example that have similar Low Power Mode feature with DSP in use?

    The out-of-box (OOB) demo application for IWR6843 should support the Low Power Modes in the latest version of the SDK (3.6.2). 

    Thiam Chi Gan said:
    using 3D People Tracking example, which part of the firmware indicates the "Acquisition & 1D FFT" ends or the "Capon BF" starts?

    "Acquisition & 1D FFT" is referring to the chirping/sampling and the range processing. This ends when the range processing DPU is completed on the MSS (See DPC_ObjectDetection_execute() in objdetrangehwa.c). Capon BF begins when processing starts on the DSS. (See DPC_ObjectDetection_execute() in objectdetect.c) You can find more information on the implementation details for this demo in this guide. 

    It is a bit beyond the scope of these forums for us to review your custom code changes but I will try to give suggestions to help you debug.

    • First, I believe the support for the low power modes was added in SDK version 3.6 however the people tracking demo currently uses SDK 3.5. It may be required that you port the demo to use only files from SDK 3.6 to properly enable the low power modes. If you have not already done this, try to rebuild the people tracking demo using SDK 3.6. You can change the SDK version used in the .projectspec file before importing the project to CCS. It may be valuable to ensure you can successfully run the existing people tracking with the newer SDK.

    • For the "Invalid TLV type" errors, we typically see those when the GUI can't keep up with the code coming from the device and it might not necessarily indicate an issue with the device code. There are a couple things you can potentially try to help it to run faster.

      • If you are running the GUI from the .exe, you may see improved performance running the python source files instead
      • If you are on a laptop, be sure to have a charging cable attached, and the power mode set to Best Performance to ensure that it does not throttle you.
      • Set the task to a higher priority in task manager

     Best regards,

    Josh

  • 0 in reply to Josh Dye
    Prodigy 100 points
    Josh Dye said:
    First, I believe the support for the low power modes was added in SDK version 3.6 however the people tracking demo currently uses SDK 3.5. It may be required that you port the demo to use only files from SDK 3.6 to properly enable the low power modes. If you have not already done this, try to rebuild the people tracking demo using SDK 3.6. You can change the SDK version used in the .projectspec file before importing the project to CCS. It may be valuable to ensure you can successfully run the existing people tracking with the newer SDK.

    Yes, I am using SDK version 3.6 while modifying the 3D People Tracking example.

    Josh Dye said:

    For the "Invalid TLV type" errors, we typically see those when the GUI can't keep up with the code coming from the device and it might not necessarily indicate an issue with the device code. There are a couple things you can potentially try to help it to run faster.

    • If you are running the GUI from the .exe, you may see improved performance running the python source files instead
    • If you are on a laptop, be sure to have a charging cable attached, and the power mode set to Best Performance to ensure that it does not throttle you.
    • Set the task to a higher priority in task manager

    What I observed from the frameperiod 55ms and 80ms, the 80ms sometimes response with incomplete TLV 1020 data.

    In "MmwDemo_uartTxTask", I am using "UART_writePolling" instead of "UART_write". Any details about the UART library can be shared?

  • 0 in reply to Thiam Chi Gan
    TI__Mastermind 21131 points

    Hello, 

    Thanks for confirming that you're using the latest SDK. UART driver documentation and test code can be found in the SDK. Please confirm your initialization and use of the writePolling API matches. 

    mmwave_sdk_03_06_02_00-LTS/packages/ti/drivers/uart/docs/doxygen/html/index.html

    mmwave_sdk_03_06_02_00-LTS/packages/ti/drivers/uart/test/xwr68xx

    Best regards,

    Josh