A collaborative location model for mobile position estimation

Author

Deng, Ping ; Liu, Lin ; Fan, Pingzhi

Author_Institution

Inst. of Mobile Commun., Southwest Jiaotong Univ., Chengdu, China

fYear

2003

fDate

27-29 Aug. 2003

Firstpage

364

Lastpage

366

Abstract

In cellular networks, several TDOA (time difference of arrival) location algorithms can be applied to mobile position estimation, however, each algorithm has its own limitations and none of them is proved to be the most reliable one under different channel environments. Kleine-Ostmann´s data fusion model [T. Kleine-Ostmann et al. (2001)] is modified and a collaborative location model which incorporate position estimate of two major TDOA location algorithms is proposed. It is shown by analysis and simulation that more reliable and accurate estimated mobile position can be achieved based on this model.

Keywords

cellular radio; mobile computing; radio direction-finding; sensor fusion; TDOA location algorithm; cellular network; data fusion model; mobile position estimation; time difference of arrival; Collaboration; Coordinate measuring machines; Fuses; Inference algorithms; Iterative algorithms; Land mobile radio cellular systems; Maximum likelihood estimation; Position measurement; Signal processing algorithms; Taylor series;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Computing, Applications and Technologies, 2003. PDCAT'2003. Proceedings of the Fourth International Conference on

Print_ISBN

0-7803-7840-7

Type

conf

DOI

10.1109/PDCAT.2003.1236323

Filename

1236323