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AWR6843AOP: RCS Calculation

Serhat Arslan
Intellectual 330 points
Part Number: AWR6843AOP

Tool/software:

Hello Officer,

I am currently working on TI’s AWR683AOP demo within the Industrial Toolbox, specifically focusing on the vital signs with tracking project. My objective is to calculate and estimate the Radar Cross Section (RCS) using the SNR data obtained from the demo’s point cloud information. My approach to estimating RCS from the measured SNR is based on the well‐known radar equation for a monostatic configuration. As a reminder, the relationship I’m using is as follows:

I want to be sure that my approach is true or not. I found there is relationship between SNR and RCS. If we know SNR, then the RCS can be derived. I am trying to obtain rcs data using this SNR value. 

Which can be rearranged to solve for the Radar Cross Section (RCS),

My plan is to extract the SNR value from the TLV data. In our implementation, each point’s data is decompressed (using the scaling factors from pUnit) and the SNR is calculated as:

pointCloud[i,4] = snr * pUnit[4] # SNR for the i-th point    (in ParseTLVs.py) 

Once I have the SNR and range for each point, I compute the RCS for that point with:

rcs_point = (snr_point * math.pow(4 * math.pi, 3) * math.pow(R_point, 4) *
k * T * B * NF) / (P_t * G_t * G_r * math.pow(wavelength, 2))
 
I wonder that is a valid approach under the proper conditions. I would appreciate any feedback or additional insights you might have on this method.

Thank you for your time and consideration.

Best regards,

  • 0
    TI__Genius 10730 points

    Hi,

    Thanks for sharing your idea on our forum! An expert will be getting back to you shortly.

    Thanks,

    Angie

  • 0 in reply to Angie Mitchell
    Intellectual 330 points

    Hello Angie, 

    I am waiting for your answer. 

    Best Regards, 

  • 0 in reply to Serhat Arslan
    TI__Genius 11750 points

    Hi,

    You cannot calculate the RCS based on the SNR of the points received. As different materials reflect differently, same RCS of various material will result in different SNR. Hence, this approach may not work.

    However, snr of the points detected is already sent out through the point cloud TLV

    Regards

  • 0 in reply to Abhishek Karkisaval
    Intellectual 330 points

    Hello Abhishek,

    I would like to elaborate on my approach to differentiating passengers, such as adults and children, using heart rate, breath rate, and Radar Cross Section (RCS).

    The Signal-to-Noise Ratio (SNR) is influenced by the detected object's RCS, which varies based on size, shape, and material composition. Since adults and children have different body structures, their respective RCS values differ, affecting the reflected signal strength and aiding in classification.

    By integrating these parameters into a machine learning algorithm, I aim to enhance the accuracy of passenger classification in radar-based in-cabin monitoring systems. Would it possible to use directly SNR value for classification ? 

    Best Regards

  • 0 in reply to Serhat Arslan
    TI__Genius 11750 points

    Hi,

    You can try that approach. But I recommend using the tracker to distinguish between adults and children. Making decision based on RCS may not be reliable

    Regards