Process of probabilistic multi-source multi-INT fusion benefit analysis
First Claim
1. A method of determining sensor detection probabilities of a system of platforms each having one or more respective sensors, the method comprising:
- determining a detection-parameters set of one or more combinations of platforms and respective sensors of the system of platforms based on a target object, environmental conditions affecting detection of the target object during a first point in time of a timeline of the target object, and sensing-and-positioning capabilities of each of the one or more combinations;
deriving a time limit to detect the target object, the time limit being at a second point in time after the first point in time, and based on a threat level of the target object;
updating the detection-parameters set based on the second point in time;
deriving a time-to-process a detection of the target object by each of the one or more combinations;
deriving an accuracy of each of the one or more combinations based on the target object, environmental conditions affecting detection of the target object during the first point in time, and the sensing-and-positioning capabilities of each of the one or more combinations;
determining sensor detection probabilities of each sensor of the one or more combinations based on the second point in time, the time-to-process the detection of the target object, and the accuracy of each of the one or more combinations, wherein the sensor detection probabilities are below a probability threshold when the time-to-process the detection of the target object exceeds the time limit to detect the target object; and
relocating the one or more combinations or one or more additional combinations of platforms and respective sensors to a region based on the sensor detection probabilities such that either the one or more additional combinations are relocated to the region to detect the target object;
at least one of the one or more combinations are relocated to the region to detect the target object;
or a plurality of the one or more combinations is relocated from a low threat level area to the region based on physical conditions including weather, temperature, time, and/or environment;
whereby relocating the one or more combinations or the one or more additional combinations results in a most effective combination of the one or more combinations and/or the one or more additional combinations to monitor the target object or multiple other target objects across various locations and time based on the sensor detection probabilities.
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Abstract
A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.
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Citations
20 Claims
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1. A method of determining sensor detection probabilities of a system of platforms each having one or more respective sensors, the method comprising:
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determining a detection-parameters set of one or more combinations of platforms and respective sensors of the system of platforms based on a target object, environmental conditions affecting detection of the target object during a first point in time of a timeline of the target object, and sensing-and-positioning capabilities of each of the one or more combinations; deriving a time limit to detect the target object, the time limit being at a second point in time after the first point in time, and based on a threat level of the target object; updating the detection-parameters set based on the second point in time; deriving a time-to-process a detection of the target object by each of the one or more combinations; deriving an accuracy of each of the one or more combinations based on the target object, environmental conditions affecting detection of the target object during the first point in time, and the sensing-and-positioning capabilities of each of the one or more combinations; determining sensor detection probabilities of each sensor of the one or more combinations based on the second point in time, the time-to-process the detection of the target object, and the accuracy of each of the one or more combinations, wherein the sensor detection probabilities are below a probability threshold when the time-to-process the detection of the target object exceeds the time limit to detect the target object; and relocating the one or more combinations or one or more additional combinations of platforms and respective sensors to a region based on the sensor detection probabilities such that either the one or more additional combinations are relocated to the region to detect the target object;
at least one of the one or more combinations are relocated to the region to detect the target object;
or a plurality of the one or more combinations is relocated from a low threat level area to the region based on physical conditions including weather, temperature, time, and/or environment;whereby relocating the one or more combinations or the one or more additional combinations results in a most effective combination of the one or more combinations and/or the one or more additional combinations to monitor the target object or multiple other target objects across various locations and time based on the sensor detection probabilities. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method of determining sensor detection probabilities of a system of platforms each having one or more respective sensors, the method comprising:
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identifying intelligence methods of a plurality of combinations of platforms and respective sensors of the system of platforms based on a plurality of target objects; deriving probability parameters of each of the plurality of combinations, wherein the probability parameters include a detection-probability of detecting the plurality of target objects, a locating-probability of locating the plurality of target objects, and/or a tracking-probability of tracking the plurality of target objects; mapping accuracy parameters and timeliness parameters of each of the plurality of combinations to the probability parameters, wherein the timeliness parameters include a time-to-process a detection of the plurality of target objects; integrating fusion parameters of each of the plurality of combinations with the probability parameters, the accuracy parameters, and the timeliness parameters; deriving a fused-detection-probability for each of the plurality of combinations detecting each target object of the plurality of target objects based on the integrated fusion parameters; deriving tipped-detection probabilities based on the fused-detection-probability of each of the plurality of combinations detecting each target object, wherein the tipped-detection probabilities are below a probability threshold when the time-to-process the detection exceeds a time limit to detect the plurality of target objects; and relocating the plurality of combinations or one or more additional combinations of platforms and respective sensors to a region based on the tipped-detection probabilities such that either the one or more additional combinations are relocated to the region to detect the plurality of target objects;
at least one of the plurality of combinations are relocated to the region to detect the plurality of target objects;
or a plurality of the plurality of combinations is relocated from a low threat level area to the region based on physical conditions including weather, temperature, time, and/or environment;whereby relocating the plurality of combinations or the one or more additional combinations results in a most effective combination of the plurality of combinations and/or the one or more additional combinations to monitor the plurality of target objects or multiple other target objects across various locations and time based on the tipped-detection probabilities.
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Specification