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US 8,508,406 B2Granted
Position estimation enhancement for a global navigation satellite system receiver
AssigneeTelespazio S.P.A.
InventorsFilippo Rodriguez, Gian Paolo Plaia
Life of this patent
Estimating the term…
Abstract
A method of estimating a position of a satellite receiver, comprising computing a weight matrix, and computing an estimated position of the satellite receiver based on the weight matrix, wherein computing the weight matrix includes computing quantities indicative of degradations experienced by satellite signals and of multipath interference, and computing the weight matrix based on the computed quantities.
Claims11
Method of estimating a position of a satellite receiver, comprising:
- computing a weight matrix;
- and
- computing, by a programmed processor, an estimated position of the satellite receiver based on the weight matrix;
- characterized in that computing the weight matrix includes:
- computing quantities indicative of degradations experienced by satellite signals and due to multipath interference;
- computing the weight matrix based on the computed quantities;
- and
- wherein computing the weight matrix includes:
- classifying received signals into elevation classes based on elevations of the satellites that have emitted the signals;
- for each elevation class, classifying the signals belonging to the elevation class into degradation classes based on the corresponding degradations, each degradation class having a corresponding cardinality defined by the number of signals with degradations falling within the degradation class;
- for each elevation class, identifying different distribution functions which globally fit the distribution of the corresponding numbers of signal with degradations falling within the corresponding degradation classes;
- for each elevation class, associating each degradation class with one of the corresponding distribution functions that satisfies a given criterion in relation to the number of signals with degradations falling within the corresponding degradation class;
- and
- computing the weight matrix based on quantities related to parameters of the distribution functions associated with the degradation classes.
11 more elements
Dependencies are inferred from the claim text.