%0 Journal Article
%T Sliding Window Recursive QR Factorization of Space-Time Adaptive Processing Algorithm<br>空时自适应处理的滑窗递推QR算法
%A Wu Jian-xin
%A Wang Tong
%A Suo Zhi-yong
%A Bao Zheng
%A <br>吴建新
%A 王 彤
%A 索志勇
%A 保 铮
%J 电子与信息学报
%D 2008
%I 
%X 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.
%K Space Time Adaptive Processing(STAP)
%K Localized stationary clutter
%K QR factorization
%K Sliding window method<br>空时自适应处理
%K 局部平稳杂波
%K QR分解
%K 滑窗法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=BF072807520CE6D73564A371B341490E&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=F3090AE9B60B7ED1&sid=BA00AECF27E5F3A6&eid=7A7453796E7FDFFB&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10