TY - GEN
T1 - A data fusion approach to Mobile Location Estimation based on ellipse propagation model within a cellular radio network
AU - Zhou, Junyang
AU - NG, Joseph K Y
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - Mobile Location Estimation is drawing considerable attention in the field of wireless communications. In this paper, we present a new estimator which considers all the information to reduce the effect of signal fluctuation and fading-the Statistical Estimation. The Statistical Estimation is derived from the information of the Received Signal Strengths (RSSs) and the locations of their corresponding Base Stations (BSs) and then estimates the location of the Mobile Station (MS). The Statistical Estimation uses all the information to provide the estimation of the location of the MS, which can provide an accurate estimation and reduce the effect of signal fluctuation and fading. It is a data fusion method to handle the signal fluctuation and fading problem. We test our approach with real data collected from Hong Kong. Experimental results show that our approach outperforms other existing location estimation algorithms among different kinds of terrains. The improvements based on the Geometric Algorithm with EPM and the Iterative Algorithm with EPM are 18.87% and4.46%, respectively.
AB - Mobile Location Estimation is drawing considerable attention in the field of wireless communications. In this paper, we present a new estimator which considers all the information to reduce the effect of signal fluctuation and fading-the Statistical Estimation. The Statistical Estimation is derived from the information of the Received Signal Strengths (RSSs) and the locations of their corresponding Base Stations (BSs) and then estimates the location of the Mobile Station (MS). The Statistical Estimation uses all the information to provide the estimation of the location of the MS, which can provide an accurate estimation and reduce the effect of signal fluctuation and fading. It is a data fusion method to handle the signal fluctuation and fading problem. We test our approach with real data collected from Hong Kong. Experimental results show that our approach outperforms other existing location estimation algorithms among different kinds of terrains. The improvements based on the Geometric Algorithm with EPM and the Iterative Algorithm with EPM are 18.87% and4.46%, respectively.
UR - http://www.scopus.com/inward/record.url?scp=34548778065&partnerID=8YFLogxK
U2 - 10.1109/AINA.2007.10
DO - 10.1109/AINA.2007.10
M3 - Conference proceeding
AN - SCOPUS:34548778065
SN - 0769528465
SN - 9780769528465
T3 - Proceedings - International Conference on Advanced Information Networking and Applications, AINA
SP - 459
EP - 466
BT - Proceedings - 21st International Conference on Advanced Information Networking and Applications, AINA 2007
T2 - 21st International Conference on Advanced Information Networking and Applications, AINA 2007
Y2 - 21 May 2007 through 23 May 2007
ER -