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GNSS Signal Processing Methods and Apparatus with Scaling of Quality Measure

  • US 20110148698A1
  • Filed: 08/05/2009
  • Published: 06/23/2011
  • Est. Priority Date: 08/19/2008
  • Status: Active Grant
First Claim
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1. Method to estimate parameters derived from global navigational satellite system (GNSS) signals useful to determine a position, comprisingobtaining observations of a GNSS signal from each of a plurality of GNSS satellites;

  • feeding the observations to a filter having a state vector at least comprising a float ambiguity for each received frequency of the GNSS signals, each float ambiguity constituting a real number estimate associated with an integer number of wavelengths of the GNSS signal between a receiver of the GNSS signal and the GNSS satellite from which it is received, and the filter being for estimating a float value for each float ambiguity of the state vector;

    assigning integer values to at least a subgroup of the estimated float values to define a plurality of integer ambiguity candidate sets;

    determining a quality measure for each of the candidate sets;

    determining the best quality measure of the candidate sets;

    determining an expectation value of the candidate set having the best quality measure;

    determining an error measure as a ratio of the best quality measure to the expectation value;

    adapting the quality measures of the candidate sets as a function of the error measure; and

    forming a weighted average of a subgroup of the candidate sets on the basis of the adapted quality measures, wherein at least one of selecting the subgroup of the candidate sets and the weighting of each candidate set in the weighted average is based on the adapted quality measure.

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