Performance evaluation of image feature-based space-time processing (IFSTP) for moving target detection

As an alternative to space-time adaptive processing (STAP), image feature-based space-time processing (IFSTP) algorithm is used by airborne radar to detect ground moving targets in clutter based on the distinct image features of target, clutter and jamming signals. In this work, the performance of IFSTP is analyzed by evaluating the detection probability and the false alarm rate of the approach for airborne radar systems.