Uncensored Indoor Positioning

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.

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