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IWR1642: How to form SDK demo find detected object signal velocity?

user5278392
Intellectual 310 points
Part Number: IWR1642

Hi,

I'm use SDK v2.1

If I want find detected object signal strength, I need check peakVal or relative power?

Which one is more reasonable?

thanks.

  • 0
    TI__Mastermind 30405 points

    Hi,

    This question appears to have been duplicated in the following thread so I will close this thread and respond on the original one.

    IWR1642: [SDK message output] How to form peakVal to relative power (dB)

    Thanks

    -Nitin

  • 0 in reply to Nitin Sakhuja
    Intellectual 310 points

    Hello,

    That question is different.

    1. SDK demo, form UART message out can find peakVal

    2. SDK demo, PC tool(mmWave Demo Visualizer), will use range profile data transfer to relative power

    3. People counting demo, in dss firmware use CFAR algorithm, so get SNR parameter

    My understanding is peakVal is can't to transfer to CFAR SNR.

    So need you double check, we want to find detected object signal strength, I need check peakVal or relative power?

    Which one is more reasonable?

    thanks.

  • 0 in reply to Nitin Sakhuja
    Intellectual 310 points
    Hello,

    That question is different.

    1. SDK demo, form UART message out can find peakVal

    2. SDK demo, PC tool(mmWave Demo Visualizer), will use range profile data transfer to relative power

    3. People counting demo, in dss firmware use CFAR algorithm, so get SNR parameter

    My understanding is peakVal is can't to transfer to CFAR SNR.

    So need you double check, we want to find detected object signal strength, I need check peakVal or relative power?

    Which one is more reasonable?

    thanks.
  • 0 in reply to user5278392
    TI__Mastermind 30405 points
    Hello,

    The CFAR detection algorithm (used in the SDK OOB demo as well as People counting demo) compares the magnitude of a peak (Cell Under Test or CUT) with it's neighboring points and marks the cell as a valid detection if it passes a certain threshold relative to the average of the neighboring points. So essentially, relative value if of importance in the detection process.

    The people counting demo computes SNR in the CFAR demo but the OOB demo does not. You can add SNR computation in the CFAR function as follows if needed:

    1. Sum the magnitudes of the points corresponding to the left and right windows for the Cell under test and divide this sum by the total window length (left + right). This will be the noise for the cell under test.
    2. Divide the magnitude of the cell under test by the noise computed in step 1 to get SNR.

    Regards
    -Nitin