Method and system for data fusion using spatial and temporal diversity between sensors
First Claim
1. A method for integrating data received from a plurality of sensors, comprising:
- receiving data from a plurality of sensors having overlapping scanning areas;
determining a plurality of reliability functions for the plurality of sensors, the plurality of reliability functions being based upon individually weighted reliability functions for each sensor;
selecting one or a predetermined combination of said plurality of reliability functions as a current reliability function based on the selected one or predetermined combination satisfying predetermined thresholds; and
based upon data from the sensors and at least one selected reliability function, determining whether or not there is an object of interest within the overlapping scanning areas.
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Accused Products
Abstract
A method and system provide a multi-sensor data fusion system capable of adaptively weighting the contributions from each one of a plurality of sensors using a plurality of data fusion methods. During a predetermined tracking period, the system receives data from each individual sensor and each data fusion method is performed to determine a plurality of reliability functions for the system based on combining each sensor reliability function which are individually weighted based on the S/N (signal-to-noise) ratio for the received data from each sensor, and a comparison of predetermined sensor operation characteristics for each sensor and a best performing (most reliable) sensor. The system may dynamically select to use one or a predetermined combination of the generated reliability functions as the current (best) reliability function which provides a confidence level for the multi-sensor system relating to the correct classification (recognition) of targets and decoys.
47 Citations
29 Claims
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1. A method for integrating data received from a plurality of sensors, comprising:
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receiving data from a plurality of sensors having overlapping scanning areas; determining a plurality of reliability functions for the plurality of sensors, the plurality of reliability functions being based upon individually weighted reliability functions for each sensor; selecting one or a predetermined combination of said plurality of reliability functions as a current reliability function based on the selected one or predetermined combination satisfying predetermined thresholds; and based upon data from the sensors and at least one selected reliability function, determining whether or not there is an object of interest within the overlapping scanning areas. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for integrating data received from a plurality of sensors, comprising:
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receiving data from a plurality of sensors; determining a plurality of reliability functions for the plurality of sensors, the plurality of reliability functions being based upon individually weighted reliability functions for each sensor; and selecting one or a predetermined combination of said plurality of reliability functions as a current reliability function based on the selected one or predetermined combination satisfying predetermined thresholds; wherein said determining a plurality of reliability functions includes determining said plurality of reliability functions from using one of a predetermined additive, multiplicative, and fuzzy logic calculation combing each sensor reliability function; and wherein said determining a plurality of reliability functions includes determining empty sets and ignorance sets for the received data from the plurality of sensors based on said predetermined multiplicative calculation. - View Dependent Claims (14, 15)
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16. A method for integrating data received from a plurality of sensors, comprising:
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receiving data from a plurality of sensors; determining a plurality of reliability functions for the plurality of sensors, the plurality of reliability functions being based upon individually weighted reliability functions for each sensor; and selecting one or a predetermined combination of said plurality of reliability functions as a current reliability function based on the selected one or predetermined combination satisfying predetermined thresholds; wherein said determining a plurality of reliability functions includes determining said individual weighting based on a predetermined parameter for the plurality of sensors satisfying a predetermined threshold, and determining said plurality of reliability functions, based on using said plurality of predetermined calculations for a single sensor reliability function, when said predetermined parameter fails to satisfy said predetermined threshold; wherein said predetermined parameter is a false alarm rate for the plurality of sensors. - View Dependent Claims (17)
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18. A multi-sensor system, comprising:
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a plurality of sensors for receiving data having overlapping scanning areas; and
at least one controller for performing the steps of;determining a plurality of reliability functions for the plurality of sensors, the plurality of reliability functions being based upon individually weighted reliability functions for each sensor; selecting one or a predetermined combination of said plurality of reliability functions as a current reliability function based on the selected at least one satisfying a predetermined threshold; and based upon data from the sensors and at least one selected reliability function, determining whether or not there is an object of interest within the overlapping scanning areas. - View Dependent Claims (19, 20, 21)
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22. A method for integrating data received from a plurality of sensors, comprising:
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receiving data from a plurality of sensors; determining a S/N (signal-to-noise) ratio for each sensor based on signal measurements of the received data; determining a plurality of reliability functions for the plurality of sensors, the plurality of reliability functions being based upon individually weighted reliability functions for each sensor; and selecting one or a predetermined combination of said plurality of reliability functions as a current reliability function based on the selected one or predetermined combination satisfying predetermined thresholds; wherein said controller to determine said individual weighting based on a predetermined parameter for the plurality of sensors satisfying a predetermined threshold, and said controller to determine said plurality of reliability functions, based on using said plurality of predetermined calculations for a single sensor reliability function, when said predetermined parameter fails to satisfy said predetermined threshold; wherein said predetermined parameter is a false alarm rate for the plurality of sensors. - View Dependent Claims (23)
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24. A computer program product comprising a machine-readable medium having stored thereon a plurality of executable instructions for causing a processor to carry out the operation of:
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receiving data from a plurality of sensors having overlapping scanning areas; determining a plurality of reliability functions for the plurality of sensors, the plurality of reliability functions being based upon individually weighted reliability functions for each sensor; and selecting at least one or a predetermined combination of said plurality of reliability functions to use as a current reliability function based on the selected at least one satisfying a predetermined threshold; and based upon data from the sensors and at least one selected reliability function, determining whether or not there is an object of interest within the overlapping scanning areas. - View Dependent Claims (25, 26, 27, 28, 29)
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Specification