Radar Target Generation and Detection using 2D CA-CFAR
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.
Calibrate, threshold, and filter radar data to detect obstacles in real radar data. Analyze radar signatures to detect and track objects. Calculate velocity and orientation by correcting for radial velocity distortions, noise, and occlusions.
Robust CFAR detector based on censored harmonic averaging
Radar signatures analyze to detect and track objects. Apply dynamic thresholds to identify and eliminate false positives.
🔥🔥 🛴 Contains Matlab codes used for implementation of acceleration signal processing algorithm on smartphones for accident detection. 🔥🔥
Project for tracking a vehicle through radar. Fast Fourier Transform and Convolution are implemented to acquire the Doppler velocity and range estimations
Calibrate, threshold, and filter radar data to detect obstacles.
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