Position tracking and velocity estimation for mobile positioning systems

Author

Wann, Chin-Der ; Chen, Yi-Ming

Author_Institution

Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan

Volume

1

fYear

2002

fDate

27-30 Oct. 2002

Firstpage

310

Abstract

A method of mobile position tracking and velocity estimation for network-based mobile positioning systems is presented. Kalman filtering is used to process the sequences of mobile location measures obtained from time-of-arrival (TOA) geometric location techniques. Two-dimensional position tracking and velocity estimation are obtained. Simulation results show that carefully adjusting the processing rate of Kalman filtering can reduce the location tracking error. One post-Kalman-filter smoothing method is also proposed for better performance of velocity estimation.

Keywords

Kalman filters; land mobile radio; parameter estimation; radio direction-finding; smoothing methods; tracking filters; 2D position tracking; Kalman filtering; TOA geometric location techniques; location tracking error; mobile location measures; mobile position tracking; network-based mobile positioning systems; post-Kalman-filter smoothing method; processing rate; simulation results; time-of-arrival geometric location techniques; two-dimensional position tracking; velocity estimation; Cellular networks; Costs; Disaster management; Filtering; Intelligent transportation systems; Kalman filters; Resource management; Smoothing methods; Telephone sets; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Personal Multimedia Communications, 2002. The 5th International Symposium on

ISSN

1347-6890

Print_ISBN

0-7803-7442-8

Type

conf

DOI

10.1109/WPMC.2002.1088183

Filename

1088183