DocumentCode :
1971002
Title :
Multilateration localization in the presence of anchor location uncertainties
Author :
Yifeng Zhou ; Jun Li ; Lamont, Lisa
Author_Institution :
Commun. Res. Centre Canada, Ottawa, ON, Canada
fYear :
2012
fDate :
3-7 Dec. 2012
Firstpage :
309
Lastpage :
314
Abstract :
Multilateration is a fundamental localization technique for wireless sensor network applications. Classical multilateration techniques typically assume that the anchor locations are known and error free, an assumption that is always not valid in practice. Although the popular total least squares (TLS) method is able to take into account such errors in general, it requires that the noise components in the formulated data matrices be identically, independently distributed. In multilateration localization, however, it can be shown that the noise components in the formulated equations are algebraically related. In this paper, we formulate multilateration for sensor localization based on the use of the constrained total least squares (CTLS) method. By assuming that distance measurement errors are relatively small and can be neglected, we show that the CTLS solution leads to a weighted least squares problem. Computer simulations are used to demonstrate the effectiveness and performance of the proposed technique.
Keywords :
wireless sensor networks; anchor location uncertainty; constrained total least squares; data matrices; distance measurement errors; multilateration localization technique; noise component; sensor localization; total least squares method; weighted least squares problem; wireless sensor network application;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1930-529X
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2012.6503131
Filename :
6503131
Link To Document :
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