Unmanned vehicle recognition and threat management
First Claim
1. A system for unmanned vehicle (UV) recognition in a radio frequency (RF) environment, comprising:
- a multiplicity of RF receivers and a displaying device in network communication with at least one node device;
wherein the multiplicity of RF receivers is operable to capture RF data in the RF environment, convert the RF data to fast Fourier transform (FFT) data, and transmit the FFT data to the at least one node device;
wherein the at least one node device comprises a signal processing engine, a detection engine, and a direction-finding engine, and wherein the at least one node device is configured with an artificial intelligence (AI) algorithm;
wherein the signal processing engine is operable to average the FFT data into at least one tile;
wherein the detection engine is operable to detect at least one signal related to at least one UV and corresponding at least one UV controller in the least one tile based on the AI algorithm;
wherein the direction-finding engine is operable to calculate a line of bearing for the at least one UV; and
wherein the displaying device is operable to display the line of bearing of the at least one UV.
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Abstract
Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.
396 Citations
20 Claims
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1. A system for unmanned vehicle (UV) recognition in a radio frequency (RF) environment, comprising:
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a multiplicity of RF receivers and a displaying device in network communication with at least one node device; wherein the multiplicity of RF receivers is operable to capture RF data in the RF environment, convert the RF data to fast Fourier transform (FFT) data, and transmit the FFT data to the at least one node device; wherein the at least one node device comprises a signal processing engine, a detection engine, and a direction-finding engine, and wherein the at least one node device is configured with an artificial intelligence (AI) algorithm; wherein the signal processing engine is operable to average the FFT data into at least one tile; wherein the detection engine is operable to detect at least one signal related to at least one UV and corresponding at least one UV controller in the least one tile based on the AI algorithm; wherein the direction-finding engine is operable to calculate a line of bearing for the at least one UV; and wherein the displaying device is operable to display the line of bearing of the at least one UV. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A system for unmanned vehicle (UV) recognition in a radio frequency (RF) environment, comprising:
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a multiplicity of RF receivers and a displaying device in network communication with a multiplicity of node devices; wherein the multiplicity of RF receivers is operable to capture RF data in the RF environment, convert the RF data to fast Fourier transform (FFT) data, and transmit the FFT data to the multiplicity of node devices; wherein the multiplicity of node devices each comprises a signal processing engine, a detection engine, a classification engine, a direction-finding engine, and at least one artificial intelligence (AI) engine; wherein the signal processing engine is operable to average the FFT data into at least one tile; wherein the detection engine is operable to group the FFT data into discrete FFT bins over time, calculate average and standard deviation of power for the discrete FFT bins, and identify at least one signal related to at least one UV and/or corresponding at least one UV controller; wherein the at least one AI engine is operable to generate an output for each of the at least one tile to identify at least one UV and corresponding at least one UV controller with a probability; wherein the classification engine is operable to classify the at least one UV and/or the at least one UV controller by comparing the at least one signal to classification data in real time or near real time; wherein the direction-finding engine is operable to calculate a line of bearing for the at least one UV; and wherein the displaying device is operable to display the line of bearing of the at least one UV. - View Dependent Claims (16, 17)
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18. A method for unmanned vehicle (UV) recognition in a radio frequency (RF) environment, comprising:
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providing a system comprising a multiplicity of RF receivers and a displaying device in network communication with at least one node device, wherein the at least one node device each comprises a signal processing engine, a detection engine, a direction-finding engine, and at least one artificial intelligence (AI) engine; the multiplicity of RF receivers capturing RF data in the RF environment, converting the RF data to fast Fourier transform (FFT) data, and transmitting the FFT data to the at least one node device; the signal processing engine averaging the FFT data into at least one tile; the detection engine grouping the FFT data into discrete FFT bins over time, calculating average and standard deviations of power for the discrete FFT bins, and identifying at least one signal related to at least one UV and/or corresponding at least one UV controller; the at least one AI engine generating an output for each of the at least one tile to identify the at least one UV and/or the corresponding at least one UV controller with a probability; the direction-finding engine calculating a line of bearing for the at least one UV; and the displaying device displaying and the line of bearing of the at least one UV. - View Dependent Claims (19, 20)
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Specification