TY - GEN
T1 - Locating mobile stations with statistical directional propagation model
AU - Chu, Kenneth M.K.
AU - Leung, Karl R.P.H.
AU - NG, Joseph K Y
AU - Li, Chun Hung
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - Recently, mobile location estimation is drawing considerable attention in the field of wireless communications. Among different mobile location estimation methods, the one which estimates the location of mobile stations with reference to the wave propagation model is drawing much attention. This approach, in principle, makes use of the most primitive property of wave propagation - signal strength, to perform location estimation. Hence this approach should be able to apply to different kinds of cellular network. 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 3,703 sets of real life data collected from a major mobile phone 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 - Recently, mobile location estimation is drawing considerable attention in the field of wireless communications. Among different mobile location estimation methods, the one which estimates the location of mobile stations with reference to the wave propagation model is drawing much attention. This approach, in principle, makes use of the most primitive property of wave propagation - signal strength, to perform location estimation. Hence this approach should be able to apply to different kinds of cellular network. 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 3,703 sets of real life data collected from a major mobile phone 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=3042580392&partnerID=8YFLogxK
U2 - 10.1109/AINA.2004.1283916
DO - 10.1109/AINA.2004.1283916
M3 - Conference proceeding
AN - SCOPUS:3042580392
SN - 0769520510
SN - 9780769520513
T3 - Proceedings - International Conference on Advanced Information Networking and Application (AINA)
SP - 230
EP - 235
BT - Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004 Volume 1 (Regional Papers)
A2 - Barolli, L.
T2 - Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004
Y2 - 29 March 2004 through 31 March 2004
ER -