Sliding Window Recursive QR Factorization of Space-Time Adaptive Processing Algorithm
空时自适应处理的滑窗递推QR算法

Secondary data acquired with sliding window method can accurately estimate clutter statistics of target-gate under localized stationary environment. In this paper, a recursive QR factorization method based on sliding window is presented, which adopts hyperbolic Househoulder transformation to realize the recursion of QR factorization. The method can not only suppress localized stationary clutter effectively, but also exhibit good numerical stability and low complexity. Simulation data processing results and real data processing results are given to demonstrate the effectiveness of the method.