DocumentCode :
1263468
Title :
Lower bounds on mobile terminal localisation in an urban area
Author :
Arora, D. ; McGuire, Michael
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
Volume :
5
Issue :
9
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
1182
Lastpage :
1191
Abstract :
Lower bounds on localisation errors serve as a performance indicator of how close a localisation system is to providing optimal performance. In this study, localisation of mobile terminals for urban areas is performed using received signal strength (RSS)-based techniques with maximum likelihood (ML) and linear kernel (LK) estimators. Simulations are performed with and without buildings in an urban area cell to illustrate the effect of discontinuities in the RSS profiles, on radio location accuracy. Results show that a localisation error is higher when buildings are absent as compared to the scenario when buildings are present. Buildings add extra features to the RSS measurement space which, if known to the localisation system, improve radio location accuracy. A comparison is made between the root mean-square error of the ML and LK estimators with the Cramer-Rao bound (CRB), the Bayesian Cramer-Rao bound (BCRB) and the Weiss-Weinstein bound (WWB). These comparisons show that the previously used CRB and BCRB do not provide realistic lowers bounds in the presence of buildings. In such cases bounds, such as WWB, which are capable of handling RSS discontinuities provide more realistic lower bounds on the accuracy of radio location.
Keywords :
Bayes methods; maximum likelihood estimation; mobile communication; signal processing; Bayesian Cramer-Rao bound; Weiss-Weinstein bound; linear kernel estimators; localisation errors; lower bounds; maximum likelihood estimators; mobile terminal localisation; performance indicator; radio location; received signal strength; simulations; urban area;
fLanguage :
English
Journal_Title :
Communications, IET
Publisher :
iet
ISSN :
1751-8628
Type :
jour
DOI :
10.1049/iet-com.2010.0480
Filename :
5936930
Link To Document :
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