A robust location and tracking algorithm

Author

Mao Yong-yi ; Wan Rui-ping

Author_Institution

Sch. of Electron. Eng., Xi´an Univ. of Posts & Telecommun., Xi´an, China

Volume

2

fYear

2011

Firstpage

1456

Lastpage

1458

Abstract

In the cellular mobile communication system, a location and tracking algorithm with non-line of sight(NLOS) error for MS(mobile station) is proposed. The NLOS errors are corrected using RBF neural network on TDOA/AOA measurements, then the position of MS is estimated by the Chan´s algorithm and the initial estimated value of position is corrected using kalman filtering. Furthermore, cooperating the correlation detection gate, the MS is tracked by the algorithm. The simulation results show that the performance of this algorithm is better in positioning and tracking for MS.

Keywords

Kalman filters; cellular radio; direction-of-arrival estimation; mobile radio; radial basis function networks; telecommunication computing; tracking; AOA measurement; Chan´s algorithm; Kalman filtering; RBF neural network; TDOA measurement; cellular mobile communication system; mobile station; nonline of sight error; robust location algorithm; tracking algorithm; Wide area networks; hybrid positioning; kalman filtering; neural network; tracking algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2011

Conference_Location

Harbin

Print_ISBN

978-1-4244-9792-8

Type

conf

DOI

10.1109/CSQRWC.2011.6037240

Filename

6037240