%0 Journal Article %A Fanqiang Kong and Jindong Zhang and Daiyin Zhu %D 2017 %J International Journal of Electronics and Communication Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 129, 2017 %T Cognitive SATP for Airborne Radar Based on Slow-Time Coding %U https://publications.waset.org/pdf/10007882 %V 129 %X Space-time adaptive processing (STAP) techniques have been motivated as a key enabling technology for advanced airborne radar applications. In this paper, the notion of cognitive radar is extended to STAP technique, and cognitive STAP is discussed. The principle for improving signal-to-clutter ratio (SCNR) based on slow-time coding is given, and the corresponding optimization algorithm based on cyclic and power-like algorithms is presented. Numerical examples show the effectiveness of the proposed method. %P 1040 - 1044