A non-resolved target detection system and methods
AssigneeRaytheon Company
InventorDarin C. Koblick
Life of this patent
Estimating the term…
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.
Claims20
A system for modeling non-resolved object detection performance of sensor systems, the system comprising
- one or more computing device processors;
- and
- one or more computing device memories, coupled to the one or more computing device processors, the one or more computing device memories storing instructions executed by the one or more computing device processors, wherein the instructions are configured to:
- receive a first data from or associated with a plurality of sensors;
- create, using the first data, a plurality of models for each of the sensors;
- calculate, using the models and the first data, signal-to-ratio (SNR) values for the sensors against a target;
- create, 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
- determine, using the detection models, non-resolved target detection performance of each of the sensors.
A method for modeling non-resolved object detection performance of sensor systems, the method comprising:
- 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.
A non-transitory computer-readable storage medium storing instructions which when executed by a computer cause the computer to perform a method for modeling non-resolved object detection performance of sensor systems, the method comprising:
- 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.
Dependencies are inferred from the claim text.