TY - GEN
T1 - An improved ellipse propagation model for location estimation in facilitating ubiquitous computing
AU - Zhou, Junyang
AU - Chu, Kenneth Man Kin
AU - NG, Joseph K Y
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - Positioning is a crucial technology for ubiquitous computing. A directional propagation model - the Ellipse Propagation Model (EPM) is proposed by our research group for locating a mobile station (MS) within a radio cellular network with an accuracy that can enable a number of location based services to realize ubiquitous computing. By using a Geometric Algorithm, the location of the mobile station can be estimated. However, since one parameter in our Geometric Algorithm is fixed, errors may be induced as the surrounding environment changes. In view of this, we would like to propose a new algorithm - the Iterative Algorithm to provide the positioning based on EPM. With the technical support of two local mobile phone operators, we have conducted a series of experiments using real data and experiment results showed that the proposed Iterative Algorithm outperforms the Geometric Algorithm by a good margin of 18% in terms of average error.
AB - Positioning is a crucial technology for ubiquitous computing. A directional propagation model - the Ellipse Propagation Model (EPM) is proposed by our research group for locating a mobile station (MS) within a radio cellular network with an accuracy that can enable a number of location based services to realize ubiquitous computing. By using a Geometric Algorithm, the location of the mobile station can be estimated. However, since one parameter in our Geometric Algorithm is fixed, errors may be induced as the surrounding environment changes. In view of this, we would like to propose a new algorithm - the Iterative Algorithm to provide the positioning based on EPM. With the technical support of two local mobile phone operators, we have conducted a series of experiments using real data and experiment results showed that the proposed Iterative Algorithm outperforms the Geometric Algorithm by a good margin of 18% in terms of average error.
UR - http://www.scopus.com/inward/record.url?scp=33749051422&partnerID=8YFLogxK
U2 - 10.1109/RTCSA.2005.24
DO - 10.1109/RTCSA.2005.24
M3 - Conference proceeding
AN - SCOPUS:33749051422
SN - 0769523463
SN - 9780769523460
T3 - Proceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
SP - 463
EP - 466
BT - Proceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
T2 - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Y2 - 17 August 2005 through 19 August 2005
ER -