A linear closed-form algorithm for TOA-based source localization by considering unknown transmit time

被引：0

作者：

Yan, Changhong ^{[1
,2
]}

Ma, Jing ^{[1
]}

Xiao, Longjie ^{[1
]}

机构：

[1] College of Economics and Management Nanjing University of Aeronautics and Astronautics, 169, Shengtai West Road, Jiangning District, Nanjing,211106, China

[2] School of Information Engineering Yancheng Institute of Technology, No. 1, Xiwang Road, Yancheng,224051, China

来源：

ICIC Express Letters | 2016年 / 10卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Cramer-Rao bounds - Wireless sensor networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A linear closed-form algorithm is proposed for TOA-based source localization when the transmit time is assumed to be unavailable. The source positions are represented as the algebraic solutions which avoid the problem of local optimum of the numerical calculation. By converting the positioning optimization model to the problem of linear least square estimation, the initial solution to source position estimation is obtained by using the proposed linear closed-form algorithm. Considering the initial solution as input parameter, the position refinement technique is designed to improve the source position. The simulations show that the positioning accuracy of the designed algorithm can be close to the Cramer-Rao lower bound (CRLB) of source position estimation. The positioning error of the proposed algorithm is unrelated with the transmit time. © 2016 ICIC International.

引用

页码：2083 / 2090