Research Progress of Space-Time Adaptive Detection for Airborne Radar
Wang Yong-liang① Liu Wei-jian② Xie Wen-chong① Duan Ke-qing① Gao Fei① Wang Ze-tao②
①(Air For Early Warning Academy, Wuhan 430019, China) ②(College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
Abstract：Compared with Space-Time Adaptive Processing (STAP), Space-Time Adaptive Detection (STAD) employs the data in the cell under test and those in the training to form reasonable detection statistics and consequently decides whether the target exists or not. The STAD has concise processing procedure and flexible design. Furthermore, the detection statistics usually possess the Constant False Alarm Rate (CFAR) property, and hence it needs no additional CFAR processing. More importantly, the STAD usually exhibits improved detection performance than that of the conventional processing, which first suppresses the clutter then adopts other detection strategy. In this paper, we first summarize the key strongpoint of the STAD, then make a classification for the STAD, and finally give some future research tracks.
