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| Sliding Window Recursive QR Factorization of Space-Time Adaptive Processing Algorithm |
| Wu Jian-xin Wang Tong Suo Zhi-yong Bao Zheng |
| National Key Lab. of Radar Signal Processing, Xidian Univ., Xi’an 710071, China |
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Abstract 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.
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Received: 09 April 2007
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Corresponding Authors:
Wu Jian-xin
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2008, Vol. 30 
