2D FFT, Doppler effect and CFAR implementation with matlab
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Updated
Feb 1, 2021 - MATLAB
2D FFT, Doppler effect and CFAR implementation with matlab
Generating targets and detecting range and velocity from simulated FMCW waveform radar signals using the Range/Doppler FFT method and displaying targets using the 2D CFAR visualization.
Robust CFAR detector based on censored harmonic averaging
This repository focuses on processing raw mmWave radar data to point cloud representations, which includes data parsing, preprocessing, and visualization functions tailored for sensing and imaging.
Radar signatures analyze to detect and track objects. Apply dynamic thresholds to identify and eliminate false positives.
Project for tracking a vehicle through radar. Fast Fourier Transform and Convolution are implemented to acquire the Doppler velocity and range estimations
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