data synthesis -凯发k8网页登录

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.