DocumentCode :
2977093
Title :
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
Link To Document :
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