Unmanned vehicle recognition and threat management
AssigneeDigital Global Systems, Inc.
InventorDavid William Kleinbeck
Life of this patent
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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.
Claims20
A system for signal classification in an RF environment, comprising:
- at least one node device in communication with at least one RF receiver;
- wherein the at least one RF receiver is operable to capture RF data in the RF environment and transmit the RF data to the at least one node device;
- wherein the at least one node device comprises a classification engine and a detection engine;
- wherein the detection engine is operable to average Fast Fourier Transform (FFT) data derived from the RF data into at least one tile;
- wherein the detection engine is operable to detect at least one signal related to at least one signal emitting device using the at least one tile;
- and
- wherein the classification engine is operable to classify the at least one signal emitting device by comparing the at least one signal emitted from the at least one signal emitting device to classification data stored in a classification library in real time.
An apparatus for signal classification in a radiofrequency (RF) environment, comprising:
- at least one node device comprising a classification engine and a detection engine;
- wherein the at least one node device is operable to receive RF data from at least one RF receiver;
- wherein the detection engine is operable to average Fast Fourier Transform (FFT) data derived from the RF data into at least one tile;
- wherein the detection engine is operable to detect at least one signal related to at least one signal emitting device using the at least one tile;
- and
- wherein the classification engine is operable to classify the at least one signal emitting device by comparing the at least one signal emitted from the at least one signal emitting device to classification data stored in a classification library in real time.
A method for signal classification in an RF environment, comprising:
- at least one RF receiver capturing RF data in the RF environment and transmitting the RF data to at least one node device;
- wherein the at least one node device comprises a classification engine and a detection engine;
- the detection engine averaging Fast Fourier Transform (FFT) data derived from the RF data into at least one tile;
- a detection engine of the at least one node device detecting at least one signal related to at least one signal emitting device using the at least one tile;
- and
- a classification engine of the at least one node device classifying the at least one signal emitting device by comparing the at least one signal emitted from the at least one signal emitting device to classification data stored in a classification library in real time.
Dependencies are inferred from the claim text.