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Traditional approaches to pattern based positioning have proposed schemes specifically tailored for the area of interest in which they are employed. Many, when applied to a generic search environment, may not scale computationally due to either a very large tracking area, very fine granularity in the database, or both. Here, a novel framework for fingerprinting that utilizes a k-generation structure...
A novel scheme for mobile subscriber positioning is proposed based on the hidden-Markov model (HMM) and the cell-ID maximum-likelihood database correlation method also known as fingerprinting. Using a simulated channel environment, based on the Clearwire deployment of WiMAX base stations in San Jose, CA, we show that matching the right configuration of the model to the deployment environment can realize...
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