On the bias of linear least squares algorithms for passive target localization

被引：72

作者：

Dogançay, K ^{[1
]}

机构：

[1] Univ S Australia, Sch Elect & Informat Engn, Mawson Lakes, SA 5095, Australia

来源：

SIGNAL PROCESSING | 2004年 / 84卷 / 03期

关键词：

bearings-only target localization; linear least squares; method of orthogonal vectors; pseudolinear estimator; estimation bias; elliptical observer trajectory; linear observer trajectory;

D O I：

10.1016/j.sigpro.2003.12.002

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：

The paper derives analytical bias expressions for the least squares bearings-only target localization algorithms. A detailed analysis of the interplay between the target localization geometry and the estimation bias is provided for the cases of elliptical and linear observer trajectories. It is observed that the estimation bias is proportional to the distance between the target and the centre of mass of the observer positions. The effect of the localization geometry parameters on the estimation bias is illustrated analytically and by way of numerical examples. The theoretical findings of the paper are backed up with simulation studies. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：475 / 486

页数：12