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IWR1843BOOST: Multipath and superposition interference scattering during radar signal acquisition

?? ?
Prodigy 60 points
Part Number: IWR1843BOOST

Tool/software:

hello.


I've been learning about radar recently, and I'm sorry for the lack of knowledge.


I am currently using the IWR1843BOOST radar sensor to collect IF signals at each distance from a fixed material (e.g. marble, tile, wood, etc.) and create an algorithm to classify the signals accordingly to identify the material.

During the signal acquisition process, do I need to worry about interference and overlapping scattering due to multiple paths on the floor or walls?


When I read the papers that use the radar provided by TI, I felt like I was experimenting without worrying about the above.


1. if you don't have to care, why?

2. if I do care, do I need to vary the surroundings or pay attention to signal pre-processing and filtering?

3. and I know that radar spreads radially and the FOV is -60° to +60°. Is the signal that is mainly collected is the signal reflected from the front relative to the antenna?

4. when collecting signals based on distance, is it almost the same to collect 20 times with a frame of 20 or 20 times with a frame of 1?

Please note that I don't have a finalised experimental setup yet, and I will send you some random experimental pictures and radar parameters. (Consider detailed experimental setup later)

Thank you for your insights!


Radar Parameter

  • Number of Transmitters (Tx): 1
  • Number of Receivers (Rx): 4
  • Frequency Slope: 30.030 MHz/μs
  • Ramp End Time: 130 μs
  • ADC Samples per Chirp: 256
  • Number of Chirps per Frame: 128
  • Number of Frames: 20
  • 0
    TI__Expert 4180 points

    Hi,

    We are looking into your query. Please allow us a couple of days to respond.

    Regards

  • 0 in reply to Sharan S S
    Prodigy 60 points

    Thank you.Thank you.

    We look forward to your comments.

  • 0 in reply to Sharan S S
    Prodigy 60 points

    How much longer will we have to wait?

  • 0 in reply to ?? ?
    TI__Mastermind 23147 points

    Hello,

    I believe most of the team is on holidays including myself, but I will answer. Follow up answers may be delayed.

    1. And 2. Interference is highly unlikely due to just how quick timings are for chirps, as well as on chip interference mitigation techniques which are documented in this paper https://www.ti.com/lit/pdf/swra662

    What I believe you are referring to is called noise or reflections. You will have multipath reflections and unwanted data from the full IF signal. This is why we do feature extraction to only use a certain subsection of data we deem necessary for whatever application we are creating a model for. We have been able to classify surfaces such as grass vs not grass or wet vs dry using only a subsection of 1D FFT range data. 

    3. I am not sure what you are asking here, but detection at the 0th angle, directly in front in foresight, will always appear strongest.

    4. Frame rate is irrelevant as long as what you are doing is not reliant on multiple frames. Generally this is for doppler purposes or tracking clusters across multiple frames. Range data can be observed like a picture, thus making frame rate not matter for surface classification.

    Best Regards,

    Pedrhom