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Uncensored Indoor Positioning
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DOI：10.1109/LSP.2014.2317787.png)
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Abstract
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We present a new method to accommodate the unobserved access points in indoor positioning systems that use the Received Signal Strength (RSS). We formulate a probabilistic framework, and derive the estimation bounds that quantify the advantage of incorporating unobserved data. Further, we describe a realization for the maximum-likelihood estimator and establish its effectiveness in a typical indoor positioning scenario.
Keywords:
Cramer-Rao bound
estimation
localization
maximum-likelihood
sensitivity
unobserved data
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