DocumentCode :
2826913
Title :
A new tracking algorithm in cellular networks
Author :
Yongyi, Mao ; Ying, Zhang ; Kanglei, Zhou
Author_Institution :
Grad. Dept., Xi´´an Univ. of Post & Telecommun., Xi´´an, China
Volume :
2
fYear :
2010
fDate :
21-24 May 2010
Abstract :
In this paper, a tracking algorithm with NLOS (non-line of sight) errors for MS (mobile station) in cellular networks is proposed. Initial evaluation of MS location is obtained by TDOA location method based on BP neural network. A Kalman filter is used to modify the initial evaluation of MS location and track the location with detection thresholds. Simulation result shows that the tracking algorithm can perform dynamic tracking to MS effectually.
Keywords :
Kalman filters; backpropagation; cellular radio; mobile communication; neural nets; telecommunication computing; time-of-arrival estimation; tracking; Kalman filter; TDOA location method; backpropagation neural network; cellular networks; mobile station; nonline of sight error; tracking algorithm; Base stations; Communications technology; Computer errors; Electronic mail; FCC; GSM; Heuristic algorithms; Land mobile radio cellular systems; Mobile communication; Neural networks; Kalman filter; cellular networks; neural network; tracking algorithm; wireless location;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
Type :
conf
DOI :
10.1109/ICFCC.2010.5497481
Filename :
5497481
Link To Document :
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