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IWR6843ISK: Development of my own visualizer

Mathieu Delaveau
Intellectual 290 points
Part Number: IWR6843ISK
Other Parts Discussed in Thread: DCA1000EVM

Hi,

I use IWR6843ISK with mmwave_sdk_03_02_00_04.

I would like to develop my own visualizer in order to plot detected points from two different radars on the same X-Y graph.

I have already tried the mmWave Demo Visualizer and  obtained good results.

1. How can I configure and start my radars without using mmWave Demo Visualizer ? I have read that it is possible by modifying  SDK_demo on code composer studio but it seems be hard for me... Is it possible to configure and start the sensor using C or python code ?

2. I would like to real time capture post processed data (the same used by Demo Visualizer). Is it possible to do that with UART Port ? (there is not so much data transfered)

I have already tried the mmWave Demo Visualizer and  obtained good results.

Thank you for your help

Mathieu

  • 0
    TI__Guru 50240 points

    Hi Mathieu,

    You will need to use the post-processed data from each of the sensors. This is already performed over UART but our visualizers only support one sensor at a time. It is possible to run two separate visualizers connected to two separate sensors.

    If you are looking to perform raw data capture you will need to use the DCA1000EVM.

    Cheers,

    Akash

  • 0 in reply to Akash Gondalia
    Intellectual 290 points

    Hi Akash,

    I would like to use the post-processed data but without using demo visualizer. I want to use this data to build my own visualizer... is it possible ?

    I know that this is already performed over UART but if mmWave Demo Visualizer is running I cannot acces UART port.

    Thank you,

    Mathieu

  • 0 in reply to Mathieu Delaveau
    TI__Guru 50240 points

    Hi Mathieu,

    You simply need to pass the chirp parameters and SensorStart command over the UART CLI port (Class Application Port) and then data will output over the Data Port (Auxiliary Data Port). Your visualizer will need to decode and then visualize the data.

    Cheers,

    Akash