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Automotive Radar

Probabilistic and physics-based radar sensor models, simulation of MIMO antennas, waveforms, I/Q radar signals, micro-Doppler signatures, detections, clusters and tracks

Use radarDataGenerator to generate probabilistic radar detections, clusters and tracks that include multipath effects. Use radarTransceiver to model radar hardware and specify antenna patterns, transmitted FMCW and MFSK waveforms, signal and data processing chains. Simulate micro-Doppler signatures of pedestrians and bicyclists. Train neural networks to classify objects detected by the radar (Deep Learning Toolbox™).