Systems and methods are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

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 are provided for a digital beamformed phased array feed. The system may include a radome configured to allow electromagnetic waves to propagate; a multi-band software defined antenna array tile; a power and clock management subsystem configured to manage power and time of operation; a thermal management subsystem configured to dissipate heat generated by the multi-band software defined antenna array tile; and an enclosure assembly. The multi-band software defined antenna array tile may include a plurality of coupled dipole array antenna elements; a plurality of frequency converters; and a plurality of digital beamformers.

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.

At least two input signals, each characterizing a radio signal having a radio frequency (RF), are received. The input signals are converted into at least three output signals. The output signals have a unique combination of corresponding magnitudes for each RF phase difference between the input signals. A set of magnitudes corresponding to the output signals is measured using a mobile measuring device. An RF phase angle value is determined based the measured set of magnitudes. The RF phase angle value is converted into an angle value indicative of the direction of arrival of the radio signal.

Disclosed are examples of systems, apparatus, methods and computer program products for locating unmanned aerial vehicles (UAVs). A region of airspace may be scanned with two scanning apparatuses. Each scanning apparatus may include one or more directional Radio Frequency (RF) antennae. The two scanning apparatuses may have different locations. Radio frequency signals emitted by a UAV can be received at each of the two scanning apparatuses. The received radio frequency signals can be processed to determine a first location of the UAV.

A mobile terminal, and a locating method and device are provided, wherein the mobile terminal includes a first antenna, configured to transmit a first signal to an anchor node, wherein the first signal is used by the anchor node to detect the signal strength of the first antenna; a second antenna, arranged with the first antenna according to a preset angle and configured to transmit a second signal to the anchor node, wherein the second signal is used by the anchor node to detect the signal strength of the second antenna. The preset angle enables the coverage of the first antenna and the second antenna to be overlapped to some extent. The signal strength of the first antenna and the signal strength of the second antenna are used for determining a location of the mobile terminal.

A mobile terminal, and a locating method and device are provided, wherein the mobile terminal includes a first antenna, configured to transmit a first signal to an anchor node, wherein the first signal is used by the anchor node to detect the signal strength of the first antenna; a second antenna, arranged with the first antenna according to a preset angle and configured to transmit a second signal to the anchor node, wherein the second signal is used by the anchor node to detect the signal strength of the second antenna. The preset angle enables the coverage of the first antenna and the second antenna to be overlapped to some extent. The signal strength of the first antenna and the signal strength of the second antenna are used for determining a location of the mobile terminal.

The present disclosure provides a method for operating a first electronic device. The method includes detecting a movement of the first electronic device, receiving direction information of a second electronic device, and determining an azimuth angle of a heading direction of the first electronic device based on the received direction information of the second electronic device.

A method for location of a beacon includes: executing R sequences, wherein R is a whole number equal to or greater than 2, each including reception by a first antenna network and a second antenna network of a signal originating from the beacon, wherein the signals of the R sequences are of different wavelengths; calculating a first estimation function for angles of arrival of the signal on the first antenna network and of a second estimation function for angles of arrival of the signal on the second antenna network; and executing a mutual correlation of the R first estimation functions and the R second estimation functions, for the respective determination of a first angle between the beacon and the first network, and of a second angle between the beacon and the second network.