A method and devices are disclosed, for tracking a radio beacon at a mobile device, using short range RF signals, emitted by the beacon and detected at the mobile device, typically indoor, requiring no GNSS service. According to the disclosed method, the beacon is configured to broadcast short bursts, at a carefully structured difference in time of emission (DTOE), while at the tracking device, the difference in time of arrival (DTOA) of said signals is measured, and along with the DTOE, used to accurately determine the location of and direction to the beacon relatively to the tracking device. According to a preferred embodiment of the present invention, said short range RF signals are associated with Bluetooth advertising, configured to broadcast in 1-way, requiring no pairing and no connection from the tracking device, and practically not requiring a receiver at the beacon, therefor saving battery energy.

A method for determining a geo-location of a target station. The method includes transmitting a plurality of ranging packets to a target station and receiving a plurality of response packets transmitted by the target station in response. A plurality of round-trip times (RTTs) are determined based on the ranging packets and the response packets. A plurality of angles of arrival (AOAs) are determined based on the response packets. First and second pluralities of squared residuals are calculated for the plurality of RTTs and the plurality of AOAs, respectively. A third plurality of squared residuals is generated by summing the first and second pluralities. A minimum of a sum of the third plurality is calculated to identify best-fit location parameters for the target station. A circular error probability (CEP) ellipse is generated using the best-fit location parameters and a geo-location of the target station is determined based on the CEP ellipse.

A method for determining a geo-location of a target station. The method includes transmitting a plurality of ranging packets to a target station and receiving a plurality of response packets transmitted by the target station in response. A plurality of round-trip times (RTTs) are determined based on the ranging packets and the response packets. A plurality of angles of arrival (AOAs) are determined based on the response packets. First and second pluralities of squared residuals are calculated for the plurality of RTTs and the plurality of AOAs, respectively. A third plurality of squared residuals is generated by summing the first and second pluralities. A minimum of a sum of the third plurality is calculated to identify best-fit location parameters for the target station. A circular error probability (CEP) ellipse is generated using the best-fit location parameters and a geo-location of the target station is determined based on the CEP ellipse.

According to embodiments herein, assistance data may be provided to a UE regarding an anchor UE that provides a reference signal via the SL interface to the UE. Assistance data may include information indicative of the coordinates, height, drift rate, beam characteristics, group delay, and/or other aspects of the anchor UE. The assistance data may be provided to the UE by a location server, a base station, or directly from the anchor UE.

According to embodiments herein, assistance data may be provided to a UE regarding an anchor UE that provides a reference signal via the SL interface to the UE. Assistance data may include information indicative of the coordinates, height, drift rate, beam characteristics, group delay, and/or other aspects of the anchor UE. The assistance data may be provided to the UE by a location server, a base station, or directly from the anchor UE.

Embodiments of a method of locating a guideway mounted vehicle are disclosed. In one embodiment, a communication signal is transmitted to a wayside communication device. A range estimation is obtained based on the communication signal. A radar signal is transmitted to at least one reflector. An accuracy of the range estimation is increased based on the radar signal.

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 are provided for geolocation and tracking of a target emitter. A methodology implementing the techniques according to an embodiment includes receiving measurement data associated with a signal from an emitter, and receiving an estimated uncertainty associated with the measurement data. The measurement data may be provided, for example, by a radar receiver. The method further includes employing a Kalman filter to calculate a geolocation of the emitter, based on the measurement data and the estimated uncertainty. The calculation includes constraining the geolocation of the emitter to the surface of the Earth, for example in a geodetic coordinate system. The measurement data may include azimuth angle of arrival of the signal and depression angle of arrival of the signal or a time difference of arrival of the signal between two measurement platforms. The methodology may be carried out, for instance, onboard an aircraft, projectile, or missile.

A method for determining a geo-location of a target station. The method includes transmitting a plurality of ranging packets to a target station and receiving a plurality of response packets transmitted by the target station in response. A plurality of round-trip times (RTTs) are determined based on the ranging packets and the response packets. A plurality of angles of arrival (AOAs) are determined based on the response packets. First and second pluralities of squared residuals are calculated for the plurality of RTTs and the plurality of AOAs, respectively. A third plurality of squared residuals is generated by summing the first and second pluralities. A minimum of a sum of the third plurality is calculated to identify best-fit location parameters for the target station. A circular error probability (CEP) ellipse is generated using the best-fit location parameters and a geo-location of the target station is determined based on the CEP ellipse.

A method for determining a geo-location of a target station. The method includes transmitting a plurality of ranging packets to a target station and receiving a plurality of response packets transmitted by the target station in response. A plurality of round-trip times (RTTs) are determined based on the ranging packets and the response packets. A plurality of angles of arrival (AOAs) are determined based on the response packets. First and second pluralities of squared residuals are calculated for the plurality of RTTs and the plurality of AOAs, respectively. A third plurality of squared residuals is generated by summing the first and second pluralities. A minimum of a sum of the third plurality is calculated to identify best-fit location parameters for the target station. A circular error probability (CEP) ellipse is generated using the best-fit location parameters and a geo-location of the target station is determined based on the CEP ellipse.