Evaluating target tracking when using multiple sensors
First Claim
1. A method of evaluating the tracking of a maneuvering target using at least two passive sensors relatively spaced comprising the steps of:
- storing target data received from each passive sensor;
predicting a target position from stored target data;
deriving a track quality statistic from stored target data;
determining an inclination angle statistic from stored target data; and
evaluating whether a target track is maneuvering based on said track quality statistic and said inclination angle statistic.
2 Assignments
0 Petitions
Accused Products
Abstract
Measuring the difference in dihedral angles formed by planes defined by a pair of passive sensors, a target, and a reference plane to determine whether both sensors are tracking the same target. The reference plane is defined by the positions of the two sensors and the origin of the system'"'"'s reference coordinates. A sensor-target plane is determined by the sensor'"'"'s position, the position of the other sensor, and the position of its target. If the target is the same for both sensors, the sensor-target planes will be substantially the same and their dihedral angles formed with the reference plane will be substantially equal. If the target is not the same for both sensors, then a statistic relating to the dihedral angles with the reference plane will be significant. A decision based on the dihedral angle statistic and a statistic derived from the tracking predictor, e.g., the Kalman Filter Residual, can be made whether the target is maneuvering, has been lost, is correctly tracked.
26 Citations
9 Claims
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1. A method of evaluating the tracking of a maneuvering target using at least two passive sensors relatively spaced comprising the steps of:
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storing target data received from each passive sensor; predicting a target position from stored target data; deriving a track quality statistic from stored target data; determining an inclination angle statistic from stored target data; and evaluating whether a target track is maneuvering based on said track quality statistic and said inclination angle statistic. - View Dependent Claims (2, 3, 4)
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5. A method comprising the steps of:
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predicting present positions of first and second targets based on data obtained therefrom by first and second sensors, respectively; deriving a statistic representative of the likelihood of the correctness of the predicted present positions; defining a first plane determined by the locations of the first and second sensors and the predicted position of the first target; defining a second plane determined by the locations of the first and second sensors and the predicted position of the second target; calculating a dihedral angle formed by said first and second planes; and determining from the statistic and dihedral angle a classification of the first and second targets. - View Dependent Claims (6, 7, 8)
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9. In a system for tracking targets from at least two passive sensors relatively spaced, the method comprising the steps of:
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determining at least two planes each plane being defined by the location of one sensor, a target associated with the sensor, and the location of the other sensor; and qualifying said targets as the same target if said planes are the same and as separate targets if the planes are not the same.
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Specification