TY - GEN
T1 - A new approach for locating mobile stations under the statistical directional propagation model
AU - Chu, Kenneth Man Kin
AU - NG, Joseph K Y
AU - Leung, Karl R.P.H.
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
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 on the grounds that it is applicable to different kinds of cellular network. However the estimation accuracy of the signal propagation model deteriorates as the distance between the mobile station and the receiving base station increases. In view of this, we have designed a New Location Estimation Approach which has divided the location estimation into two phases, the Data Collection Phase and the Location Estimation Phase. In this paper, we report our study of the New Location Estimation Approach. We tested the approach with real life data collected from a major mobile operator of Hong Kong. Results show that the New Location Estimation Approach has improved the existing statistical signal propagation model by 30.94%. This improvement can be further enhanced if more data are collected.
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 on the grounds that it is applicable to different kinds of cellular network. However the estimation accuracy of the signal propagation model deteriorates as the distance between the mobile station and the receiving base station increases. In view of this, we have designed a New Location Estimation Approach which has divided the location estimation into two phases, the Data Collection Phase and the Location Estimation Phase. In this paper, we report our study of the New Location Estimation Approach. We tested the approach with real life data collected from a major mobile operator of Hong Kong. Results show that the New Location Estimation Approach has improved the existing statistical signal propagation model by 30.94%. This improvement can be further enhanced if more data are collected.
UR - http://www.scopus.com/inward/record.url?scp=33751086199&partnerID=8YFLogxK
U2 - 10.1109/AINA.2006.40
DO - 10.1109/AINA.2006.40
M3 - Conference proceeding
AN - SCOPUS:33751086199
SN - 0769524664
SN - 9780769524665
T3 - Proceedings - International Conference on Advanced Information Networking and Applications, AINA
SP - 932
EP - 937
BT - Proceedings - 20th International Conference on Advanced Information Networking and Applications
T2 - 20th International Conference on Advanced Information Networking and Applications
Y2 - 18 April 2006 through 20 April 2006
ER -