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AWR1843BOOST: Queries for tuning configs

Mihir Salot
Prodigy 200 points
Part Number: AWR1843BOOST

I am currently tuning AWR 1843 Boost configs for detecting electric wires for UAVs

1) Does xwr18xx_mrr_demo.bin support configs for beam forming?

2) Does sampling rate affect SNR, or is detection SNR only affected by number of chirps*chirp time?

3) What parameter can we tune to detect size of objects (like walls), instead of isolated object distance?

  • 0
    TI__Mastermind 18065 points

    Hi Mihir,

    1. The 1843 demo does not support beamforming configs, but you can check out the MRR beam steering application which is part of TI resource explorer which demonstrates the beamforming using the 6-bit phase shifters available on the 1843 device and implement it accordingly in your application.
    2. Nope, it wouldn't depend on the sampling rate. SNR would depend on things like Power out, Power in, environment, RCS, system gains, signal processing etc.
    3. You would have to describe what kind of algorithm you intend to use to detect walls. Based on that I might be able to recommend radar parameters that can be tuned.

    Regards,

    Kaushik

  • 0 in reply to Kaushik Gowda
    Prodigy 200 points

    2) As per the image attached , I assume the SNR of an object depends on Chirp time, and no of chirps in a frame. However does it depend on the sampling rate?

    3)We are planning to use the radar for a sense and avoid application in agriculture fields. We are currently facing challenges in detecting structure of canopies of trees, to detect if the tree is in drone's path or not.

    For large trees, the radar gives a point cloud inclined towards centre of the tree (having thick barks) rather than detecting tiny barks in front of the radar. Hence we have disabled peak grouping, however are still unable to detect small branches in front of the radar. I

    a)I need to understand how to change radar parameters to sense weaker reflections from tree canopy in front of it.

    4) Currently in front of a wall, the radar gives a point cloud(64 objects) concentrated in front of the radar. What parameters do I tweak to get a distributed point cloud, to understand structure of an object better?

    For example

    In the attached image, the peak at 5m is a 4m wide wall in front, However the points showing up at 5m are concentrated within 1m in azimuth axis of the radar. I want to tune the params so that we get a distributed point cloud across the wall instead, to detect its dimensions. The configs I have used is as :sensorStop
    flushCfg
    dfeDataOutputMode 1
    channelCfg 15 5 0
    adcCfg 2 1
    adcbufCfg -1 0 1 1 1
    profileCfg 0 76 7 8 95 0 0 12 1 225 3000 0 0 30
    chirpCfg 0 0 0 0 0 0 0 1
    chirpCfg 1 1 0 0 0 0 0 4
    frameCfg 0 1 80 0 50 1 0
    lowPower 0 0
    guiMonitor -1 1 1 1 0 0 1
    cfarCfg -1 0 2 8 4 3 0 15 1
    cfarCfg -1 1 0 4 2 3 1 15 1
    multiObjBeamForming -1 1 0.5
    clutterRemoval -1 0
    calibDcRangeSig -1 0 -5 8 256
    extendedMaxVelocity -1 0
    lvdsStreamCfg -1 0 0 0
    compRangeBiasAndRxChanPhase 0.0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
    measureRangeBiasAndRxChanPhase 0 1.5 0.2
    CQRxSatMonitor 0 3 4 25 0
    CQSigImgMonitor 0 39 4
    analogMonitor 0 0
    aoaFovCfg -1 -90 90 -90 90
    cfarFovCfg -1 0 0 18.45
    cfarFovCfg -1 1 -6.52 6.52
    calibData 0 0 0
    sensorStart

  • 0 in reply to Mihir Salot
    TI__Mastermind 18065 points

    Hi Mihir,

    I am not able to see the images you have shared using google docs. Please upload the same directly into the message box in this thread.

    By your requirements, it looks like you would want a rich close range point cloud to detect objects like trees at a close range. You can increase your range resolution and decrease max range for this purpose. You can refer to the following document that can help you come up with the right parameters.

    Programming Chirp Parameters in TI Devices

    Regards,

    Kaushik