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• W2189433125 abstract "wireless application. In this paper, the problem of location estimation and tracking of mobile user in a fixed wireless network is addressed. A strategy based on empirical map of received signal strength with interpolation to reduce the calibration effort for radio map creation is proposed. The proposed system models the motion dynamics of a mobile user as a hidden markov model in which each state corresponds to geo-location then tracking the user location using the posterior HMM state distribution. We present experimental results that demonstrate the ability of our tracking system to estimate the user location with a high degree of accuracy and less calibration effort." @default.
• W2189433125 created "2016-06-24" @default.
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• W2189433125 date "2014-01-01" @default.
• W2189433125 modified "2023-09-27" @default.
• W2189433125 title "Indoor Localization and Tracking using Posterior State Distribution and Fingerprint Interpolation" @default.
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