A Novel TOA-based Source Localization Algorithm in Wireless Sensor Networks

被引：0

作者：

Feng, Renjian ^{[1
]}

Li, Chenguang ^{[1
]}

Ran, Qiu ^{[1
]}

Wu, Yinfeng ^{[1
]}

Yu, Ning ^{[1
]}

机构：

[1] Beihang Univ, Key Lab, Educ Minist Precis Optomechatron Technol, Sch Instrumentat Sci & Optoelect Engn, Beijing, Peoples R China

来源：

2018 8TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST 2018) | 2018年

基金：

中国国家自然科学基金;

关键词：

maximum-likelihood; source localization; time of arrival; wireless sensor networks; SEMIDEFINITE PROGRAMMING APPROACH; PASSIVE SOURCE LOCALIZATION; TIME-DIFFERENCES; DIFFERENCE; ARRIVAL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With great development of wireless sensor networks (WSNs) technology, one of its important applications, source localization, has attracted numerous interests of recent scientific researches. Among different kinds of methods, techniques based on time difference of arrival (TDOA) and time of arrival (TOA) are practical and of high accuracy. In consideration of TDOA-based methods' inherent noise correlation and loss in signal-to-noise ratio (SNR), this paper focuses on TOA-based source localization method in WSNs. We formulate the localization problem as a maximum-likelihood (ML) problem, and exploit the relationship between the emitting time constant of signal and the coordinate of source to remove the time constant in the ML function. Then the conjugate gradient method is utilized to obtain the final solution. Simulation results validate the convergence of the proposed algorithm and demonstrate its better performance than some existing TDOA based techniques.

引用

页码：429 / 436

页数：8

共 24 条

[1] A SIMPLE AND EFFICIENT ESTIMATOR FOR HYPERBOLIC LOCATION [J].