Image feature-based space-time processing (IFSTP) for bistatic ground moving target detection and clutter rejection

IFSTP has been proposed as an alternative approach to traditional STAP for bistatic radars to detect ground moving targets from clutter and jammers. The new approach can be implemented without resorting to the clutter estimation, which may be difficult to implement in inhomogeneous clutter environment. Target detection is carried out based on different features of target and interference signals in the Doppler-angle domain. The image features and a region-growing algorithm are specifically defined and developed for target feature extraction and detection. Simulation results validate that the developed IFSTP algorithm can effectively detect ground moving targets for airborne bistatic radar.