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
Link To Document :
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