Principles of Wireless Networks: A Unified Approach
Principles of Wireless Networks: A Unified Approach
A Statistical Modeling Approach to Location Estimation
IEEE Transactions on Mobile Computing
Providing Location Estimation within a Metropolitan Area Based on a Mobile Phone Network
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
AINA '03 Proceedings of the 17th International Conference on Advanced Information Networking and Applications
A Survey of Context-Aware Mobile Computing Research
A Survey of Context-Aware Mobile Computing Research
Locating Mobile Stations with Statistical Directional Propagation Model
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Providing Location Services within a Radio Cellular Network Using Ellipse Propagation Model
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
Position location using wireless communications on highways of the future
IEEE Communications Magazine
International Journal of Wireless and Mobile Computing
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Mobile location estimation or mobile positioning is becoming an important service for a mobile phone network. Among different kinds of mobile location estimation technologies, only the class of the signal strength based algorithm which estimates the location of Mobile Stations (MSs) by the Received Signal Strength (RSS) can be applied to different kinds of radio cellular networks, and therefore, is more general. We have designed a directional propagation model – the Ellipse Propagation Model (EPM), which makes use of a common signal propagation model to perform a location estimation. EPM enhanced the traditional propagation model by resembling the contour line of the signal strength as an ellipse rather than a circle and hence becoming more realistic. We have tested EPM with real data taken in Hong Kong and it is proven that EPM outperforms other existing location estimation algorithms among different kinds of terrains.