DocumentCode :
3156174
Title :
Diversity aspects of power delay profile based location fingerprinting
Author :
Slock, Dirk
Author_Institution :
Mobile Commun. Dept., EURECOM, Sophia Antipolis, France
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
2861
Lastpage :
2864
Abstract :
Although most of the conventional localization algorithms rely on Line of Sight (LOS) conditions, fingerprinting allows positioning in multipath and even in Non-LOS (NLOS) environments. In contrast to the traditional Received Signal Strength (RSS), the Power Delay Profile (PDP) fingerprint may allow positioning on the basis of a single link if the multipath is rich enough. Fingerprinting is a pattern matching technique for which a performance analysis may be difficult in general. In this paper we focus on a global performance indicator, in the form of Pairwise Error Probability (PEP). Similarly to PEP analysis in communication over fading channels, we find that the PEP for PDP fingerprinting exhibits a certain diversity order, linked to the number of paths. We investigate and show the results for Gaussian Maximum Likelihood (GML) based approaches for the Rayleigh fading path amplitude case.
Keywords :
Gaussian processes; Rayleigh channels; diversity reception; error statistics; maximum likelihood estimation; multipath channels; pattern matching; time-of-arrival estimation; GML based approach; Gaussian maximum likelihood based approach; LOS conditions; NLOS environments; PDP fingerprinting; PEP analysis; RSS; Rayleigh fading path amplitude; global performance indicator; line of sight conditions; localization algorithms; location fingerprinting; multipath positioning; nonLOS environments; pairwise error probability; pattern matching technique; performance analysis; power delay profile diversity; received signal strength; Channel estimation; Covariance matrix; Delay; Fading; Mobile communication; Signal to noise ratio; Vectors; Gaussian; Rayleigh; diversity; fingerprinting; least-squares; localization; maximum likelihood; pairwise error probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288514
Filename :
6288514
Link To Document :
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