Maximum Likelihood Algorithm for Time-Delay Based Multistatic Target Localization

被引：18

作者：

Panwar, Kuntal ^{[1
]}

Babu, Prabhu ^{[1
]}

Stoica, Petre ^{[2
]}

机构：

[1] Indian Inst Technol, Ctr Appl Res Elect, Delhi 110016, India

[2] Uppsala Univ, Dept Informat Technol, S-75105 Uppsala, Sweden

来源：

IEEE SIGNAL PROCESSING LETTERS | 2022年 / 29卷

基金：

瑞典研究理事会;

关键词：

Location awareness; Signal processing algorithms; Receivers; Noise measurement; Maximum likelihood estimation; Transmitters; Signal to noise ratio; Target localization; time-delay measurements; maximum-likelihood estimation; majorization-minimization; ELLIPTIC LOCALIZATION;

D O I：

10.1109/LSP.2022.3158592

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 letter we address the problem of multistatic target localization using time-delay measurements corrupted by noise with unknown non-uniform variances. More concretely, we consider the problem of joint maximum likelihood (ML) estimation of the target position and the noise variances, for which we propose a majorization-minimization based algorithm. The proposed approach is compared with state-of-the-art algorithms, and the simulation results show the excellent accuracy of our algorithm.

引用

页码：847 / 851

页数：5

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