Positioning technique
First Claim
1. A method comprising:
- positioning a target object in a wireless communication environment, said positioning comprising performing the following acts on a set of at least one positioning server;
maintaining a data model for a plurality of sample points, each sample point comprising a sample location and a set of expected values for one or more physical quantities at that sample point;
maintaining a set of relevance indicators and using the set of relevance indicators for determining two or more predetermined sets of relevant sample points for each value within the set of expected values of at least one of the physical quantities, wherein the two or more sets of relevant sample points are subsets of the sample points in the data model;
storing the predetermined sets of relevant sample points and using them in several positioning cycles, wherein each positioning cycle comprises;
receiving observations of at least one of the physical quantities at the target object'"'"'s location;
based on the observations at the target object'"'"'s location and the set of relevance indicators, determining a current set of relevant sample points which comprises sample points concurrently relevant to all the observations made at the target object'"'"'s location within the current positioning cycle at the target object'"'"'s location; and
estimating the target object'"'"'s location based on the observations at the target object'"'"'s location and on the current set of relevant sample points;
whereby sample points not included in the current set of relevant sample points can be omitted from said estimating step.
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Abstract
A technique for positioning a target object in a wireless communication environment. A data model models several sample points. Each sample point includes a location and a set of expected signal values therein. A set of relevance indicators indicates one or more sets of relevant sample points, which are subsets of the sample points in the data model. Signal values are observed at the target object'"'"'s location. Based on the signal value observations and the set of relevance indicators, a current set of relevant sample points is determined and used, along with the signal value observations, to estimate the target object'"'"'s location. Computational burden is reduced because sample points not included in the current set of relevant sample points can be omitted from calculations.
10 Citations
9 Claims
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1. A method comprising:
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positioning a target object in a wireless communication environment, said positioning comprising performing the following acts on a set of at least one positioning server; maintaining a data model for a plurality of sample points, each sample point comprising a sample location and a set of expected values for one or more physical quantities at that sample point; maintaining a set of relevance indicators and using the set of relevance indicators for determining two or more predetermined sets of relevant sample points for each value within the set of expected values of at least one of the physical quantities, wherein the two or more sets of relevant sample points are subsets of the sample points in the data model; storing the predetermined sets of relevant sample points and using them in several positioning cycles, wherein each positioning cycle comprises; receiving observations of at least one of the physical quantities at the target object'"'"'s location; based on the observations at the target object'"'"'s location and the set of relevance indicators, determining a current set of relevant sample points which comprises sample points concurrently relevant to all the observations made at the target object'"'"'s location within the current positioning cycle at the target object'"'"'s location; and estimating the target object'"'"'s location based on the observations at the target object'"'"'s location and on the current set of relevant sample points; whereby sample points not included in the current set of relevant sample points can be omitted from said estimating step. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An apparatus comprising:
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a set of at least one positioning server; a data model for a plurality of sample points, each sample point comprising a sample location and a set of expected values for one or more physical quantities at that sample point; a set of relevance indicators for determining two or more predetermined sets of relevant sample points for each value within the set of expected values of at least one of the physical quantities, wherein the two or more sets of relevant sample points are subsets of the sample points in the data model; means for storing the predetermined sets of relevant sample points and for using them in several positioning cycles, wherein each positioning cycle comprises; receiving observations of at least one of the physical quantities made at the target object'"'"'s location; determining a current set of relevant sample points based on the observations and the set of relevance indicators, wherein the current set of relevant sample points comprises sample points concurrently relevant to all the observations made at the target object'"'"'s location within the current positioning cycle at the target object'"'"'s location; and estimating the target object'"'"'s location based on the observations and on the current set of relevant sample points.
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Specification