DocumentCode :
1227207
Title :
Real-time mobility tracking algorithms for cellular networks based on Kalman filtering
Author :
Zaidi, Zainab R. ; Mark, Brian L.
Author_Institution :
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
Volume :
4
Issue :
2
fYear :
2005
Firstpage :
195
Lastpage :
208
Abstract :
We propose two algorithms for real-time tracking of the location and dynamic motion of a mobile station in a cellular network using the pilot signal strengths from neighboring base stations. The underlying mobility model is based on a dynamic linear system driven by a discrete command process that determines the mobile station´s acceleration. The command process is modeled as a semi-Markov process over a finite set of acceleration levels. The first algorithm consists of an averaging filter for processing pilot signal, strength measurements and two Kalman filters, one to estimate the discrete command process and the other to estimate the mobility state. The second algorithm employs a single Kalman filter without prefiltering and is able to track a mobile station even when a limited set of pilot signal measurements is available. Both of the proposed tracking algorithms can be used to predict future mobility behavior, which can be, useful in resource allocation applications. Our numerical results show that the proposed tracking algorithms perform accurately over a wide range of mobility parameter values.
Keywords :
Kalman filters; Markov processes; cellular radio; filtering theory; linear systems; mobility management (mobile radio); real-time systems; Kalman filtering; cellular network; discrete command process; dynamic linear system; real-time mobility tracking algorithm; resource allocation; semiMarkov process; Acceleration; Base stations; Filtering algorithms; Kalman filters; Land mobile radio cellular systems; Linear systems; Resource management; Signal processing; State estimation; Tracking; Index Terms- Cellular networks; Kalman filter.; geolocation; mobility model; pilot signal strengths;
fLanguage :
English
Journal_Title :
Mobile Computing, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1233
Type :
jour
DOI :
10.1109/TMC.2005.29
Filename :
1390891
Link To Document :
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