A TOA-Based Location Algorithm for NLOS Environments Using Quadratic Programming

Author

Yang, Kai ; An, Jianping ; Bu, Xiangyuan ; Lu, Yao

Author_Institution

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

fYear

2010

fDate

18-21 April 2010

Firstpage

1

Lastpage

5

Abstract

Location of a source is of considerable interest in wireless sensor networks. A novel algorithm for source location by utilizing the time-of-arrival (TOA) measurements of a signal received at spatially separated sensors under non-line-of-sight (NLOS) environments is proposed. The algorithm is based on quadratic programming, which is a special type of mathematical optimization problem. Comparisons of performance with other algorithms are made, and Monte Carlo simulations are performed. Simulation results show that the proposed algorithm gives better results.

Keywords

Monte Carlo methods; quadratic programming; time-of-arrival estimation; wireless sensor networks; Monte Carlo simulations; NLOS environments; TOA-based location algorithm; mathematical optimization problem; nonline-of-sight environments; quadratic programming; time-of-arrival measurements; wireless sensor networks; Communications Society; Diffraction; Indoor environments; Lagrangian functions; Length measurement; Position measurement; Quadratic programming; Reflection; Taylor series; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference (WCNC), 2010 IEEE

Conference_Location

Sydney, NSW

ISSN

1525-3511

Print_ISBN

978-1-4244-6396-1

Type

conf

DOI

10.1109/WCNC.2010.5506703

Filename

5506703