A directional propagation model for locating mobile stations within a mobile phone network

Authors:
Kenneth M. K. Chu;Karl R. P. H. Leung;Joseph Kee-Yin Ng;Chun Hung Li
Affiliations:
Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong.;Department of Information and Communications Technology, Hong Kong Institute of Vocational Education (TsingYi), New Territory, Hong Kong.;Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong.;Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong
Venue:
International Journal of Wireless and Mobile Computing
Year:
2008

Citing 6
Cited 1

Wireless Communications: Principles and Practice

Wireless Communications: Principles and Practice
A Statistical Modeling Approach to Location Estimation

IEEE Transactions on Mobile Computing
Providing Location Estimation within a Metropolitan Area Based on a Mobile Phone Network

DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
A Dual-Channel Location Estimation System for Providing Location Services Based on the GPS and GSM Networks

AINA '03 Proceedings of the 17th International Conference on Advanced Information Networking and Applications
Locating Mobile Stations with Statistical Directional Propagation Model

AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Position location using wireless communications on highways of the future

IEEE Communications Magazine

The research and implementation of customised launcher in Android

International Journal of Wireless and Mobile Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Mobile location estimation is becoming a high value added service on cellular phone networks. Among different mobile location estimation methods, the one which estimates the location of Mobile Stations (MSs) with reference to an intrinsics of wireless communication, signal strengths, is able to be applied to different kinds of cellular network, and hence is more general. This approach makes use of a wave propagation model to perform location estimation. Most wave propagation models are non-directional. However, we found out that in estimating mobile location with reference to signal strength, the azimuth gain of directional antenna and environmental factors can help to improve the accuracy. In this paper, we report our study of a Directional Propagation Model (DPM) which enhanced the traditional propagation model with these factors. We experimented our model with 192,177 sets of real life data covering most parts of Hong Kong collected from a major mobile hone operator of Hong Kong. Results show that the DPM models have significant improvement over other existing location methods in terms of accuracy and stability.