Data-dependent channel selection method for STAP based on MVDR criterion
Li Yu, Jinming Chen, ZiYang Cheng, Wei‐Wei Wang, Jun Zhang, Tao Wu, Chongdi Duan · IET conference proceedings. · 2024
Space-time adaptive processing (STAP) combines the returned signals from all elements of an antenna array and all coherent pulse trains during a CPI period to provide clutter suppression and target detection ability, which is a promising technique for acquiring small, slow, and moving targets. In this work, we proceed to the data-dependent channel selection method for Post- Doppler beam- space STAP to improve clutter suppression performance in sample starved environments, in which no additional a prior information is used in our framework. The main innovation of this manuscript lies in the characteristic th at the selected channels in the fully-dimension weight vector, which is inversely transformed from the RD weight vector, is sparse relative to the whole beam-Doppler channels. Compared with several existing methods, the proposed method significantly enhances the STAP performance in sample starved environments.