Applications
Multifunction and cognitive radar, automotive radar, AI for radar, and hardware
connectivity
The Radar Toolbox supports many diverse radar applications. For automotive applications, you
can design systems for detection and classification, especially in automated driving.
For target tracking, you can employ adaptive radar designs that automatically reset
radar parameters to respond to changing operating conditions. You can simulate radar
waveforms and echos to detect objects with simple geometries such as cylinders and
cones. Some applications simulate the micro-Doppler signatures of complex objects such
as helicopters, pedestrians, and bicyclists. Other applications show how to model
antennas and channels. The toolbox also supports the visualization of live and
prerecorded radar signals.
- 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
- Multifunction Radar
Closed-loop simulation, waveform selection, search and track modes, PRF agility,
frequency agility, interference mitigation
- AI for Radar
Labeling of radar signals, simulated radar signals to train machine and deep
learning models, target classification, signal classification
- Synthetic Aperture Radar (SAR)
Antenna footprint and resolution, range and cross-range ambiguities, SAR image
distortions, SAR image SNR, noise equivalent reflectivity, rain clutter