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.

There is provided mechanisms for estimating angle of arrival of a radio signal in a radio communications network. A method is performed by a radio transceiver device. The radio transceiver device comprises an antenna array that, by means of analog beamforming, is configured to shift between at least two phase center locations. The method comprises obtaining measurements of the radio signal as received by the antenna array using two mutually different phase center locations. The method comprises estimating the angle of arrival of the radio signal using the measurements as obtained using the two mutually different phase center locations.

There is provided mechanisms for estimating angle of arrival of a radio signal in a radio communications network. A method is performed by a radio transceiver device. The radio transceiver device comprises an antenna array that, by means of analog beamforming, is configured to shift between at least two phase center locations. The method comprises obtaining measurements of the radio signal as received by the antenna array using two mutually different phase center locations. The method comprises estimating the angle of arrival of the radio signal using the measurements as obtained using the two mutually different phase center locations.

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.

Mechanisms for determining an electrical phase relation between antenna elements in an antenna array. A method is performed by a radio transceiver device. The method comprises obtaining measurements of the radio signal as received in two receive beams covering a given angular sector. The two receive beams have different complex beam patterns. The method further comprises estimating the angle of arrival of the radio signal for at least one polarization port of each of the two receive beams using the measurements in the two receive beams. The method also comprises determining, from the angle of arrival estimated for each polarization port, an electrical phase relation between antenna elements in the antenna array that corresponds to the estimated angle of arrival.

An electronic device may use information about the location of nearby devices to make sharing with those devices more intuitive for a user. The electronic device may include control circuitry, wireless circuitry including first and second antennas, and motion sensor circuitry. The control circuitry may determine the location of a nearby electronic device by calculating the angle of arrival of signals that are transmitted by the nearby electronic device. To obtain a complete, unambiguous angle of arrival solution, the electronic device may be moved into different positions during angle of arrival measurement operations. At each position, the control circuitry may calculate a phase difference associated with the received signals. Motion sensor circuitry may gather motion data as the electronic device is moved into the different positions. The control circuitry may use the received antenna signals and the motion data to determine the complete angle of arrival solution.

Systems and methods are provided in which a direction of arrival of a radio frequency (RF) signal received by a plurality of antennas is determined. A plurality of first converter receives RF signals from the plurality of antennas and outputs a minimum of a first optical signal and a second optical signal each modulated by their corresponding RF signal. A plurality of second converters receives a minimum of the first optical signal via a first optical channel that introduces a first delay and the second optical signal via a second optical channel that introduces a second delay. The second converter outputs a first RF signal that corresponds to the RF modulation on the first optical signal and a second RF signal that corresponds to the RF modulation on the second optical signal. A switch serially receives, from the second converter outputs, the first RF signal and the second RF signal. A direction finding subsystem determines a direction of arrival using a phase difference between the first RF signal and the second RF signal.

A radio wave environment display device includes a display unit that displays a radio wave environment and a controller. The radio wave environment display device displays a radio wave environment in an area where a plurality of wireless transmitters located at different positions transmit radio waves. The controller selects, at each of a plurality of points in the area, a maximum intensity among intensities that are magnitudes of received power of radio waves transmitted from the wireless transmitters and causes the display unit to display the radio wave environment at each of the plurality of points based on the maximum intensity selected and an arrival direction of a radio wave with the maximum intensity selected.

Mechanisms compressive sampling to detect direction of arrival (DoA) of a signal of interest (SoI), comprising: in each of a plurality of receiver paths, receiving the SoI and producing a received signal using an antenna; and using a modulator to: receive a modulator input signal (MIS) based on the received signal produced by the antenna in the path; modulate the MIS at multiple points in time (MPIT) based on different ones of a plurality of pseudo-random numbers; and produce a plurality of modulated output signals in response to the modulating of the MIS at the MPIT; summing across the receiver paths the one of the modulated output signals produced by each of the receiver paths for each of the MPIT, to produce a plurality of sum signals each corresponding to one of the MPIT; and performing a compressed sensing recovery algorithm to recover the DoA of the SoI.

A system and method of determining the angle of arrival or departure using a neural network is disclosed. The system collects a plurality of I and Q samples as a packet containing a constant tone extension is being received. The I and Q samples are used to form I and Q arrays, which are used as the input to the neural network. The neural network produces a first output representative of the azimuth angle and a second output representative of the elevation angle. In certain embodiments, the neural network is capable of detecting a plurality of angles, where, for each angle, there are three outputs, a first output representative of the azimuth angle, a second output representative of the elevation angle and a third output representative of the relative amplitude. In some embodiments, the neural network is configured to determine the carrier frequency offset of an incoming signal as well.