NDLI: A probabilistic approach to determine mobile station location with application in cellular networks

Content Provider	Springer Nature Link
Author	Simić, Mirjana I. Pejović, Predrag V.
Copyright Year	2009
Abstract	A probabilistic approach to the mobile station location problem is analyzed, and an algorithm that implements such an approach is presented. Information about the mobile station location is collected in the form of two-dimensional probability density functions provided from various sources. Combining the probability density functions into a joined probability density function is addressed. To provide computational efficiency, a method to limit the space of a possible location of the mobile station to a rectangular region of the minimal size is presented. Discretization of space is performed next, reducing the probability density functions to matrices of probabilities. The algorithm for combining the probability density functions is adjusted for an application with the matrices of probabilities. To reduce the computational burden further, probability density functions of the exclusion type, taking only two values, zero and nonzero, are introduced, providing savings in storage space and computational time. Information about the timing advance parameter value and the received signal level are interpreted by probability density functions of the exclusion type. Application of the algorithm is illustrated by two sets of measurements performed in an urban and a suburban region.
Starting Page	639
Ending Page	649
Page Count	11
File Format	PDF
ISSN	00034347
Journal	Annales Des Télécommunications
Volume Number	64
Issue Number	9-10
e-ISSN	19589395
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-05-27
Publisher Place	Paris
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Global system for mobile communications (GSM) Localization Positioning Universal mobile telecommunications system (UMTS) R & D/Technology Policy Signal, Image and Speech Processing Information Systems and Communication Service Communications Engineering, Networks Information and Communication, Circuits Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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