Three-dimensional reduced-dimension transformation for MIMO radar space-time adaptive processing

被引：15
|
作者：
Xiang, Cong [1 ]
Feng, Da-Zheng [1 ]
Lv, Hui [1 ]
He, Jie [1 ]
Liu, Hong-Wei [1 ]
机构：
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
来源：
SIGNAL PROCESSING | 2011年 / 91卷 / 08期
关键词：
Cascaded configuration; MIMO radar; STAP; Tri-iterative algorithm; Computational burden;
D O I：
10.1016/j.sigpro.2011.01.017
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a spatial-temporal filter with three-dimensional (3D) cascaded configuration is proposed for multi-input multi-output (MIMO) radar space-time adaptive processing (STAP) based on reduced-dimension transformation. The 3D weight vector which is decomposed into the Kronecker product of transmitting, receiving and temporal weight vectors can be efficiently obtained by the proposed tri-iterative algorithm (TRIA). It is shown that the proposed approach can significantly reduce the computational burden and training-data requirement. The effectiveness of the proposed algorithm is demonstrated via the numerical experiments as compared with the other methods. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码：2121 / 2126
页数：6
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