文件名称:location-based-services
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This paper presents a technique which is based on pattern recognition techniques, in order to estimate
Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements
and more precisely on information extracted from Iub air interface, in wideband code-division multiple access
(WCDMA) systems for transmission control purposes. Pattern recognition is performed by Hidden Markov Model
(HMM), which is trained with downlink signal strength measurements for specific areas, employing Clustering
LARge Applications (CLARA) like a clustering method. Accurate results from a single probe vehicle show the
potential of the method, when applied to large scale of MTs.
Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements
and more precisely on information extracted from Iub air interface, in wideband code-division multiple access
(WCDMA) systems for transmission control purposes. Pattern recognition is performed by Hidden Markov Model
(HMM), which is trained with downlink signal strength measurements for specific areas, employing Clustering
LARge Applications (CLARA) like a clustering method. Accurate results from a single probe vehicle show the
potential of the method, when applied to large scale of MTs.
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location based services.pdf