Tracking and imaging algorithm of walking human bodies for ultra wideband radar

The Ultra WideBand(UWB) Radar used for detecting human bodies is a promising technique in many fields such as urban-warfare, counter-terrorism and calamity rescue scenarios. Conventional UWB imaging algorithm can not meet the demand in the capability of targets recognition and calculation efficiency. The SEABED Algorithm based on the reversible Boundary Scattering Transform (BST) can be used to fast reconstruct target shape, but its application is restricted because antenna are scanned to collect data, which is impractical for systems of detecting moving targets. In this paper, walking motion was used to replace antenna scanning by assuming a system model, and a novel algorithm based on SEABED for UWB radar systems is proposed. Simulation results show that the proposed algorithm features simple hardware requirement, low calculation, and high imaging precision, and it can also estimate the velocity, image and track walking human bodies.