Weighted least squares algorithm for target localization in distributed MIMO radar

被引：107

作者：

Einemo, Martin ^{[1
,2
]}

So, Hing Cheung ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

[2] Lund Univ, Ctr Math Sci, S-22100 Lund, Sweden

来源：

SIGNAL PROCESSING | 2015年 / 115卷

关键词：

Multiple-input multiple-output (MIMO) radar; Target localization; Bistatic range; Weighted least squares; DOD;

D O I：

10.1016/j.sigpro.2015.04.004

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 address the problem of locating a target using multiple-input multiple-output (MIMO) radar with widely separated antennas. Through linearizing the bistatic range measurements, which correspond to the sum of transmitter-to-target and target-to-receiver distances, a quadratically constrained quadratic program (QCQP) for target localization is formulated. The solution of the QCQP is proved to be an unbiased position estimate whose variance equals the Cramer-Rao lower bound. A weighted least squares algorithm is developed to realize the QCQP. Simulation results are included to demonstrate the high accuracy of the proposed MIMO radar positioning approach. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：144 / 150

页数：7

共 20 条

[1]

[Anonymous], 1993, Fundamentals of Statistical Signal Processing: Estimation Theory

[2] Direct positioning of stationary targets using MIMO radar [J].