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A Novel Indoor RSS-Based Position Location Algorithm Using Factor Graphs
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DOI：10.1109/TWC.2009.080452.png)
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Abstract
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A low-complexity and accurate receive-signal-strength (RSS)-based algorithm is proposed to estimate a target location. To achieve the aim of low complexity, a local linearization technique based on the local linearity in the surface of power decay profile (PDP), established by training logarithmic RSS measurements and collected from each individual access point (AP), was devised. To achieve a near-optimum solution, the stochastic properties of measurement errors and the reliability of the measurement data are introduced into the factor graph framework. Numerical experiments show that the proposed algorithm not only achieves a near maximum likelihood (ML) solution based on training RSS measurements, but also enjoys low complexity.
Keywords:
RSS
position location
factor graph
soft-information
sum-product algorithm
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