A method for locating a GNSS signal-jamming source, including setting two antennas in rotation about a common axis of rotation so as to form N different respective positions corresponding to various angles of rotation, in each of the N positions, using each antenna to acquire a GNSS signal including a payload signal and a jamming signal, computing a phase offset between the acquired jamming signals, and determining a direction of the jamming source using a maximum value of the N computed phase shifts.

The disclosure relates to angle of arrival estimation of one or more input signals. The disclosure proposes a receiver and a corresponding method for operating the receiver. The receiver comprises one or more antennas, wherein each antenna is covered by a material with a controllable permittivity and/or permeability. The receiver comprises a controller configured to generate with each antenna a plurality of consecutive measurements of the one or more input signals, in order to generate one or more pluralities of consecutive measurements, adjust, for each antenna of the one or more antennas, the controllable material between at least two consecutive measurements of the plurality of consecutive measurements generated with the antenna, and estimate the one or more angles of arrival of the one or more input signals based on the one or more pluralities of consecutive measurements.

An ultra-wideband (UWB) communication system comprising a transmitter having two antennas and a receiver having a single receive antenna. Respective selected portions of the UWB signal are transmitted by the transmitter via each of the two transmit antennas and are received at the receive antenna. By comparing the phases of the received signal portions, the phase difference of departure can be determined. From this phase difference the known distance, d, between the transmit antennas the Cartesian (x, y) location of the transmitter relative to the receiver can be directly determined.

An imaging receiver comprising an antenna array to receive RF signals from at least one RF source, a plurality of electro-optic modulators to modulate an optical carrier with a received RF signal to generate modulated optical signals, a first and second set of optical fibers configured to transmit the modulated optical signals into an interference region to cause interference among the modulated optical signals to generate optical signal interference; a lens to perform a Fourier transform of the optical signal interference to spatial positions on an image plane, a photodetector array to record the optical signal interference on the image plane, and a processor to computationally reconstruct the at least one RF source in k-space from the recorded optical signal interference. The optical fibers included in the first set of optical fibers have varying lengths, and the optical fibers included in the second set of optical have the same length.

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.

A wave source location direction estimation apparatus includes: a signal acquisition unit to acquire a reception signal of one or more radio waves from an antenna to receive the one or more radio waves from among a direct wave which is a radio wave from a wave source and one or more multipath waves which are radio waves from the wave source; and a profile calculation unit to calculate an angle profile including directions of incidence of the respective radio waves on the antenna, and reception power levels of the respective radio waves on the basis of the reception signal acquired by the signal acquisition unit. In addition, the wave source location direction estimation apparatus includes a direction estimation unit to estimate a direction in which the wave source is located on the basis of the angle profile calculated by the profile calculation unit.

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.

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.

Techniques for direction finding and geolocation of a GPS spoofer. A methodology implementing the techniques according to an embodiment includes steering a beam in a direction selected from a search constellation and measuring a first signal power received through the steered beam. The method also includes steering a null in the selected direction and measuring a second signal power received through the steered null. The method further includes calculating a difference between the first signal power and the second signal power and estimating an angle of arrival (AOA) of the GPS spoofer signal as the selected direction if the calculated difference exceeds a threshold power value. In some such examples, the method includes accumulating signals having four similar estimated AOAs, associated with unique pseudo-random noise codes, and employing a GPS receiver to calculate a candidate position of a source of the GPS spoofer signals based on the accumulated signals.

A direction finding antenna includes a substrate, a reflecting ring, and a plurality of radiating elements, wherein the substrate has a surface. The reflecting ring is disposed on the surface of the substrate and is formed by connecting a plurality of side wires and is a closed polygon. Each of the side wires forms a reflector. The radiating elements are disposed on the surface of the substrate and are respectively located on an outside of the side wires, and each of the radiating elements corresponds to one of the side wires. Each of the side wires and each of the corresponding radiating elements form an antenna structure, and the antenna structures face different directions, thereby providing the needed accuracy of direction finding in different directions.