A Priori Knowledge Based Ground Moving Target Indication Technique Applied to Distributed Spaceborne SAR System

Through formation flying, the distributed spaceborne SAR(synthetic aperture radar) system can increase number of spatial degree freedoms (DOFs) and provide flexible multi-baselines for SAR-GMTI (ground moving target indication), which improves performance. This paper proposes an a priori knowledge-based adaptive clutter cancellation detection technique applied to systems. Firstly, is exploited suppress ground clutter. A knowledge, such as road network information, integrated processor reduce any steering vector mismatch. Secondly, matched filter (AMF) beamformer orthogonal rejection test (ABORT) are techniques detection. Due dense network, estimation may be ambiguous different position orientation roads. The multiple hypothesis testing (MHT) proposed detect targets resolve potential ambiguities. scheme detect, classify, relocate targets. Finally, simulation experiments performance analysis have demonstrated effectiveness robustness technique.