Tri-iterative least-square method for bearing estimation in MIMO radar

被引：15

作者：

Lv, Hui ^{[1
]}

Feng, Da-Zheng ^{[1
]}

Liu, Hong-Wei ^{[1
]}

He, Jie ^{[1
]}

Xiang, Cong ^{[1
]}

机构：

[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China

来源：

SIGNAL PROCESSING | 2009年 / 89卷 / 12期

基金：

中国国家自然科学基金;

关键词：

MIMO radar; Bearing estimation; Least-square; ESPRIT;

D O I：

10.1016/j.sigpro.2009.05.011

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, we introduce a novel tri-iterative least-square (TI-LS) method for bearing estimation in multiple-input multiple-output (MIMO) radar system. The TI-LS iteratively finds two steering matrices associated with the transmit and receive arrays, and the target's bearing can be easily obtained based on prior knowledge of the transmit and receive array manifolds. Furthermore, by jointly using the information from the transmit and receive array responses. angular estimation accuracy can be significantly improved. Numerical examples are presented to illustrate the excellent angular estimation accuracy and computational efficiency of this new method. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：2686 / 2691

页数：6

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