Data Synthesis

Simulate radar data at different levels of abstraction–probabilistic or physics-based. For faster simulations, generate probabilistic radar detections and tracks to test tracking and sensor fusion algorithms. For higher fidelity physics-based simulations, model transmitted waveforms that propagate through the environment, reflect off targets, and are received at the radar. Transition from probabilistic models to the physics-based models programmatically. Simulate multipath propagation, clutter, interference, and target echoes. Define targets as simple geometric shapes or complex structures such as a walking pedestrian or a moving bicyclist. Model both active and passive sensors that scan mechanically or electronically in azimuth and elevation. Extract micro-Doppler signatures to classify radar detections and tracks.