A Generalized Total Least-Squares Algorithm for Hyperbolic Location

Author

Yang, Kai ; An, Jianping ; Xu, Zhan ; Bu, Xiangyuan

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

Location of a source is of considerable interest in wireless sensor networks, and it can be estimated from passive measurements of time difference of arrival (TDOA). A novel algorithm for source location by utilizing the TDOA measurements of a signal received at spatially separated sensors is proposed. The algorithm is based on the generalized total least-squares (GTLS) method and gives an explicit solution. Comparisons of performance with least-squares and weighted least-squares are made, and Monte Carlo simulations are performed. Simulation results indicate that the proposed algorithm has high location accuracy and is close to the Cramer-Rao lower bound (CRLB).

Keywords

Monte Carlo methods; least squares approximations; wireless sensor networks; Cramer-Rao lower bound; Monte Carlo simulations; generalized total least-squares algorithm; hyperbolic location; source location; time difference of arrival measurements; wireless sensor networks; Estimation error; Information science; Lagrangian functions; Nonlinear equations; Position measurement; Sensor systems; Time difference of arrival; Time measurement; Vectors; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.822

Filename

4678730