Three-dimensional spatial-temporal two-step dimension-reduced adaptive processing for airborne radar

被引：0
|
作者：
Xiang C. [1 ]
Feng D.-Z. [1 ]
He J. [1 ]
机构：
[1] National Laboratory of Radar Signal Processing, Xidian University
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 08期
关键词：
Airborne radar; Bi-iterative; Clutter mitigation; Three-dimensional space-time adaptive processing (3D-STAP); Two-step dimension-reduced;
D O I：
10.3724/SP.J.1146.2009.01248
中图分类号：
学科分类号：
摘要：
Three-dimensional Space-Time Adaptive Processor (3D-STAP) is studied in this paper for airborne radar system, and a new kind of two-step dimension-reduced suboptimum STAP technique is proposed based on the frame of pre-Doppler followed by spatial adaptive processing (mDT-SAP). The Doppler filter with fixed configuration is performed on each spatially sampled element to reduce the correlation in the temporal domain, followed by spatial bi-iterative adaptive processing on the azimuth and elevation of the platform array based on the two separable weight vectors. It is shown that the proposed method has lower the computation load and needs smaller training data size compared to the traditional method. In additional, the effectiveness and robustness of the proposed method are demonstrated via numerical experiment.
引用
收藏
页码：1869 / 1873
页数：4
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