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