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Method for position estimation using generalized error distributions

  • US 8,138,976 B2
  • Filed: 04/14/2011
  • Issued: 03/20/2012
  • Est. Priority Date: 12/30/2008
  • Status: Active Grant
First Claim
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1. A method for use in a wireless location system, comprising:

  • obtaining field data, wherein said field data have baseline or location dependent values to be used in a signal correlation model;

    analyzing said field data to obtain (1) said signal correlation model and associated measurement parameters, (2) correlation matrix rules, and (3) a model for a priori position;

    computing weights for the measurements based on an estimated variability of the measurement;

    using the weights along with the correlation matrix rules to generate a covariance matrix, and computing an inverse covariance matrix;

    performing an iterative search over a geographical region to find a location with a maximum a posteriori (MAP) metric;

    determining that a stopping condition has been reached; and

    reporting the geographic position with the largest MAP metric;

    wherein said iterative search includes a resolution loop in which a geographic search space resolution is reduced in each iteration and new test points are generated via interpolation, and wherein said iterative search includes a MAP metric computation that uses the covariance matrix, an error model and a measurement parameter table.

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