Reduced-dimension clutter suppression method for airborne multiple-input multiple-output radar based on three iterations

被引：6
|
作者：
He Jie [1 ]
Feng Da-zheng [2 ]
Ma Lun [1 ]
机构：
[1] Changan Univ, Sch Informat Engn, Xian 710064, Peoples R China
[2] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
来源：
IET RADAR SONAR AND NAVIGATION | 2015年 / 9卷 / 03期
关键词：
MIMO RADAR;
D O I：
10.1049/iet-rsn.2014.0149
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：
A reduced-dimension space time adaptive processing (STAP) for airborne multiple-input multiple-output (MIMO) radar based on three iterations is proposed. The optimum filter for MIMO-STAP is described as a separable filter, and the optimal weight vector in high dimension can be iteratively solved by three lower dimension weight vectors. Consequently, the quite high sample support and computational complexity in optimal MIMO-STAP can be efficiently reduced. For short data records, the proposed method can achieve better clutter suppression performance. Simulation results demonstrate the effectiveness of the proposed method.
引用
收藏
页码：249 / 254
页数：6
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