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IWRL6432BOOST: How to get the result of 2D FFT directly (range FFT followed by doppler FFT)?

Part Number: IWRL6432BOOST
Other Parts Discussed in Thread: IWRL6432

In our application, we need the result of 2D FFT for our further processing. I have gone through presence and motion detection example project and its implementation details document provided in the SDK, but in that, first the range FFT is being performed, then the DOA processing in which doppler FFT is part of it, but our use case only requires the result of 2D FFT and it is not provided as a independent DPU. So if an an example project or blog post that provides some example code to do 2D FFT in independently without any other processing, it will be super helpful.

  • Hello, 

    At the moment, we do not have any example which only does up to 2D FFT without any additional processing. However, our latest release of the Radar Toolbox (version 1.10.00.xx) does include the gesture recognition demo which utilizes a processing chain that is more in line with your requirements. In contrast to the Presence and Motion Detection Demo which uses the Doaproc DPU as you mentioned, IWRL6432 Gesture Recognition Demo uses the Dopplerproc DPU. The Dopplerproc DPU's input is the Range FFT Cube (Radar Cude). The DPU performs a 2D FFT (Doppler FFT) per each antenna, then it performs summation of the absolute value across the virtual antennas. The output of the Doppler DPU is the Range-Doppler heatmap (Detection Matrix). This demo then continues on with application specific processing to detect and infer performed gestures which is likely not relevant to you, but I think this would still be a good reference point. 

    SDK 5.2 also includes the test/example code for the dopplerproc DPU at <MMWAVE_SDK5_INSTALL_DIR>/examples/datapath/dopplerproc which may also be helpful to reference. 

    Best Regards,

    Josh

  • Thanks a lot.

  • No problem! Thank you for using the E2E Forums! Please do not hesitate to create a new post for any additional questions you may have. 

    Best Regards,

    Josh