TY - JOUR
T1 - A directional propagation model for locating mobile stations within a mobile phone network
AU - Chu, Kenneth M.K.
AU - Leung, Karl R.P.H.
AU - NG, Joseph K Y
AU - Li, Chun Hung
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2008/7
Y1 - 2008/7
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=49449093948&partnerID=8YFLogxK
U2 - 10.1504/IJWMC.2008.019714
DO - 10.1504/IJWMC.2008.019714
M3 - Article
AN - SCOPUS:49449093948
VL - 3
SP - 12
EP - 21
JO - International Journal of Wireless and Mobile Computing
JF - International Journal of Wireless and Mobile Computing
SN - 1741-1084
IS - 1-2
ER -