Methods and Systems for Data Link Front End Filters for Sporadic Updates
First Claim
1. A method of tracking a moveable object, comprising:
- sensing at least one characteristic of the moveable object using a sensor of an acquisition system;
sensing at least one characteristic of the moveable object using an auxiliary sensor;
transmitting a data link update from the auxiliary sensor to the acquisition system;
conditioning the data link update to provide a composite likelihood, wherein the conditioning includes;
differencing the data link update and at least one predicted characteristic of the moveable object to produce at least one residual; and
determining the composite likelihood based on the at least one residual; and
adjusting a viewing direction of the sensor based at least in part on the composite likelihood resulting from the conditioning of the data link update.
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Abstract
Systems and methods having front end filters for data links for improved tracking of moving objects are disclosed. In one embodiment, a method includes sensing at least one characteristic of a moveable object using a sensor of an acquisition system, and sensing at least one characteristic of the moveable object using an auxiliary sensor. A data link update is transmitted from the auxiliary sensor to the acquisition system, and the data link update is conditioned to provide composite likelihood. The conditioning includes differencing the data link update and at least one predicted characteristic of the moveable object to produce at least one residual (e.g. using a plurality of Kalman filters). A viewing direction of the sensor may be adjusted based at least in part on the composite likelihood. In another embodiment, residuals are projected along sensor line of sight to form a multi-modal non-Gaussian composite likelihood.
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Citations
20 Claims
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1. A method of tracking a moveable object, comprising:
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sensing at least one characteristic of the moveable object using a sensor of an acquisition system; sensing at least one characteristic of the moveable object using an auxiliary sensor; transmitting a data link update from the auxiliary sensor to the acquisition system; conditioning the data link update to provide a composite likelihood, wherein the conditioning includes; differencing the data link update and at least one predicted characteristic of the moveable object to produce at least one residual; and determining the composite likelihood based on the at least one residual; and adjusting a viewing direction of the sensor based at least in part on the composite likelihood resulting from the conditioning of the data link update. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. One or more computer-readable media comprising computer executable instructions that, when executed, direct a tracking system to:
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sense at least one characteristic of a moveable object using a sensor of an acquisition system; sense at least one characteristic of the moveable object using an auxiliary sensor; transmit a data link update from the auxiliary sensor to the acquisition system; condition the data link update to provide a composite uncertainty probability, including; difference the data link update and at least one predicted characteristic of the moveable object to produce at least one residual; and determine the composite likelihood based on the at least one residual; and adjust the position of the sensor based at least in part on the composite likelihood resulting from the conditioning of the data link update. - View Dependent Claims (11, 12, 13, 14)
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15. A system for tracking a moveable object, comprising:
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a sensor configured to sense at least one characteristic of the moveable object; a communication component configured to receive a data link update; and a control component operatively coupled to the communication component and to the sensor, the control component including a data conditioner configured to condition the data link update to provide a composite likelihood, including; difference the data link update and at least one predicted characteristic of the moveable object to produce at least one residual; and determine the composite likelihood based on the at least one residual; and wherein the control component is further configured to transmit a control signal to adjust a viewing direction of the sensor based at least in part on the composite likelihood. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification