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™).