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IWR1443BOOST: Traffic Monitor on IWR1443BOOST

Part Number: IWR1443BOOST


Hi, I am using IWR1443BOOST with the latest mmwave sdk.

I have ran different labs such as HIgh_accuracy, water and ground, vital sign etc.

I am running Traffic Monitor lab which is having only one step -

Go to traffic Monitor demo and start the MATLAB gui and configure the ports.

Then after configuring the ports and start the project, i got the console output -

Opening configuration file profileTrafficMonitoring.cfg ...
Sending configuration to xWR14xx profileTrafficMonitoring.cfg ...
sensorStop
flushCfg
dfeDataOutputMode 1
channelCfg 15 5 0
adcCfg 2 1 0
adcbufCfg 0 1 0 1
profileCfg 0 77 300 7 40 0 0 100 1 128 4000 0 0 32
chirpCfg 0 0 0 0 0 0 0 1
chirpCfg 1 1 0 0 0 0 0 4
frameCfg 0 1 32 0 100 1 0
guiMonitor 1 1 0 0 0 0
cfarCfg 0 2 8 4 3 0 1200
peakGrouping 1 1 1 4 224
multiObjBeamForming 1 0.5
calibDcRangeSig 0 -5 8 256
sensorStart

.

But i am not able to get the data/symbol on the screen, i have placed the reflective object in front of the radar but no symbol/data on the GUI.

Any suggestion?

Thanks

  • Hi Rahul,

    This demo uses the binaries from the mmWave SDK 1.0 and not the 1.1. This is available here: software-dl.ti.com/.../index_FDS.html

    Let me know if this doesn't work for you. If you have more questions please feel free to open up a new thread!


    Cheers,
    Akash
  • Hi Akash,

    Thanks you for the reply. It worked.

    Now i want to ask a general question is that i guess all the demos are being tested in an unechoic chamber(correct me if i am wrong) to reduce the noise as much possible. And the results are also good at that time.

    But how filtering should be applied in real time scenario?

    As i have putted one reflective object in front of it but i am seeing more than 3 cars icon on the screen. That is of-course due to reflection from the environment so what if i will use this on real world say for example on traffic light itself or on a road?

    Thanks.

  • Hi Rahul,

    Filtering will not need to be a major part of your algorithm because you will know many things about your scene. For traffic monitoring you know there are distances that should not have any cars and as such you will be able to reject or work those detected objects out of your program (the traffic monitoring demo does this although on a much smaller scale).


    Cheers,
    Akash