DocumentCode
429543
Title
SPIDER: enhanced distance based localization of mobile radio terminals
Author
Meurer, M. ; Baier, P.W. ; Weber, T. ; Jötten, C.A. ; Heilmann, S.
Author_Institution
Res. Group for RF Commun., Kaiserslautern Univ., Germany
Volume
5
fYear
2004
fDate
26-29 Sept. 2004
Firstpage
3521
Abstract
In current mobile radio systems the localization of mobile terminals is desirable both with respect to promptly alerting rescue services in cases of emergency, and to offering added value services as for instance piloting the subscribers to places of their personal interest. Mainly all conventional localization schemes which are already in the supply portfolio of the manufacturers apply multilateration based on estimates of the distances of the mobile terminal to be located to a number of surrounding base stations. In this paper a new multilateration based location scheme is proposed, which offers increased accuracy by taking into account not only estimates of the distances between mobile terminals and base stations. but also of the mutual distances between mobile terminals. The new localization scheme resorts to the ML (maximum likelihood) estimation rational. First, it is mathematically described, which leads to a nonlinear optimization problem not accessible to closed form solutions. Then, a low-cost approximate iterative solution to this problem is presented. Finally, the new localization scheme is verified by simulations. The simulation results show a significant accuracy enhancement as compared to the conventional scheme mentioned above.
Keywords
iterative methods; maximum likelihood estimation; mobility management (mobile radio); optimisation; ML estimation; SPIDER; added value services; approximate iterative solution; base stations; enhanced distance based localization; maximum likelihood estimation; mobile radio terminals; multilateration based location scheme; mutual distances; nonlinear optimization; rescue services; Base stations; Closed-form solution; Gain measurement; Global Positioning System; Land mobile radio; Manufacturing; Maximum likelihood estimation; Mobile communication; Radio frequency; Satellite broadcasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN
1090-3038
Print_ISBN
0-7803-8521-7
Type
conf
DOI
10.1109/VETECF.2004.1404719
Filename
1404719
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