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公开(公告)号：US20250044438A1
公开(公告)日：2025-02-06
申请号：US18797114
申请日：2024-08-07
Applicant: Raytheon Company
Inventor： Darin C. Koblick
Abstract: A system and method of tracking a hypersonic object over a flightpath includes at least one observer having at least one sensor. The sensor is configured to provide measurements of the hypersonic object that are geometrically diverse such that each observer may independently measure any combination of range, angles, Doppler, and angle rates. The observers transmit measurements to a processing unit as the hypersonic object undergoes three phases including a boost phase, a ballistic phase, and a hypersonic glide phase. The hypersonic object is tracked over many time steps by first selecting a dynamics model representative of expected object kinematics during said phase. Then, an unscented Kalman filter is used to predict a future state and a covariance using the dynamics model that was selected. Finally, the unscented Kalman filter updates the future state and covariance that were predicted based on the geometrically diverse measurements of the sensors.
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公开(公告)号：US20240402294A1
公开(公告)日：2024-12-05
申请号：US17977151
申请日：2022-10-31
Applicant: Raytheon Company
Inventor： Darin C. Koblick
Abstract: Systems and methods are provided for modeling non-resolved object detection performance of sensor systems. An exemplary method includes: receiving a first data from or associated with a plurality of sensors; creating, using the first data, a plurality of models for each of the sensors; calculating, using the models and the first data, signal-to-ratio (SNR) values for the sensors against a target; creating, using the SNR values, a plurality of probability of detection models for each of the sensors, wherein one of the probability of detection models is a quantum illumination probability of detection model; and determining, using the detection models, non-resolved target detection performance of each of the sensors.
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公开(公告)号：US12078716B2
公开(公告)日：2024-09-03
申请号：US17007361
申请日：2020-08-31
Applicant: Raytheon Company
Inventor： Darin C. Koblick
CPC classification number: G01S13/72 , G01S13/58 , F41G7/303 , G01C21/20 , G01S5/0294
Abstract: A system and method of tracking a hypersonic object over a flightpath includes at least one observer having at least one sensor. The sensor is configured to provide measurements of the hypersonic object that are geometrically diverse such that each observer may independently measure any combination of range, angles, Doppler, and angle rates. The observers transmit measurements to a processing unit as the hypersonic object undergoes three phases including a boost phase, a ballistic phase, and a hypersonic glide phase. The hypersonic object is tracked over many time steps by first selecting a dynamics model representative of expected object kinematics during said phase. Then, an unscented Kalman filter is used to predict a future state and a covariance using the dynamics model that was selected. Finally, the unscented Kalman filter updates the future state and covariance that were predicted based on the geometrically diverse measurements of the sensors.
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公开(公告)号：US20220065587A1
公开(公告)日：2022-03-03
申请号：US17007361
申请日：2020-08-31
Applicant: Raytheon Company
Inventor： Darin C. Koblick
Abstract: A system and method of tracking a hypersonic object over a flightpath includes at least one observer having at least one sensor. The sensor is configured to provide measurements of the hypersonic object that are geometrically diverse such that each observer may independently measure any combination of range, angles, Doppler, and angle rates. The observers transmit measurements to a processing unit as the hypersonic object undergoes three phases including a boost phase, a ballistic phase, and a hypersonic glide phase. The hypersonic object is tracked over many time steps by first selecting a dynamics model representative of expected object kinematics during said phase. Then, an unscented Kalman filter is used to predict a future state and a covariance using the dynamics model that was selected. Finally, the unscented Kalman filter updates the future state and covariance that were predicted based on the geometrically diverse measurements of the sensors.
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