Title :
Extended Kalman Filter Location and Tracking Method Using Single Base Station in Cellular Network
Author :
Fan, Dandan ; Zhang, Ruyun ; Jin, Liang
Author_Institution :
Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou
Abstract :
A location and tracking method utilizing extended Kalman filter (EKF) using single base station in cellular networks is proposed in this paper. The location method utilizing the AOA and the variance ratio of AOA is introduced. The paper also compares EKF and linear Kalman filter. The simulation result is illustrated to explain the location and tracking efficiency of the proposed method.
Keywords :
Kalman filters; cellular radio; tracking; cellular network; extended Kalman filter location method; extended Kalman filter location tracking method; linear Kalman filter; single base station; Base stations; Costs; FCC; Land mobile radio cellular systems; Monitoring; Radar tracking; Resource management; Switching systems; Systems engineering and theory; Target tracking;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.191
