Airfield surveillance unit (11) for detecting airfield traffic and airfield multilateration system comprising such airfield surveillance unit. The airfield surveillance unit comprises a power supply module (113), a first radio antenna (111) configured to receive an aircraft transponder signal, a receiver module (112) coupled to the power supply module (113) and to the first radio antenna (111) and comprising a first data communication port (1122, 1123). The receiver module (112) is operable to convert the aircraft transponder signal received by the first radio antenna (111) to a multilateration-purpose signal for transmission via the first data communication port. The airfield surveillance unit further comprises a second radio antenna (118) and a 5G communication module (117) coupled to the power supply module (113) and configured to be coupled to the second radio antenna for operating as a transceiver for a mission critical private 5G cellular network.

Airborne LiDAR bathymetry systems and methods of use are provided. The airborne LiDAR bathymetry system can collect topographic data and bathymetric data at high altitudes. The airborne LiDAR bathymetry system has a receiver system, a detector system, and a laser transmission system.

Systems, methods, and devices are disclosed herein for Doppler based position estimation. Systems may include an antenna configured to receive a radio frequency (RF) signal from an emitter, and configured to generate an output signal based on the received RF signal. Systems may also include a receiver configured to receive the output signal from the antenna. The receiver may include one or more processors configured to identify a plurality of initial conditions for a plurality of state variables associated with the emitter, obtain a measurement of the RF signal from the emitter and an estimate of an uncertainty associated with the measurement, and generate an output based, at least in part, on an updated estimate of the plurality of state variables, the output identifying a position, velocity, and carrier frequency of the emitter. Systems may also include a communications interface configured to communicatively couple the antenna with the receiver.

A device, system, and method for tracking luggage in which the transmission of wireless signals by the device is turned off and on in response to sensor data, including the detection by a barometer of a decrease in atmospheric pressure of at least 13.8 kPa; lack of reception by a GPS receiver of a GPS signal and detection by an accelerometer and magnetometer of low frequency, low amplitude vibrations; and/or reception by a Bluetooth module of GPS coordinates transmitted by another luggage tracking device.

A method for determining geolocation of a UAV near a power grid includes detecting, via a transceiver, a carrier signal transmitted from a first grid node to identify the node's fixed geolocation. A response signal may be transmitted from a second grid node in response to the carrier signal to identify a fixed geolocation of the second grid node, or the UAV may process the carrier signal. A processor determines time-of-flight of the carrier signal, e.g., using the response signal, and derives the UAV's geolocation using the time-of-flight. Determining time-of-flight may include referencing a lookup table indexed by time-of-arrival at the transceiver of the modulated carrier and response signals. A timestamp may indicate time-of-transmission of the carrier and response signals, respectively. Deriving geolocation may include subtracting time-of-transmission of the response signal from that of the carrier signal. A system includes the processor and transceiver.

An aircraft detection system supplements the identification of aircraft with information that is obtained from two or more different detection channels. The system may obtain a first set of identifying information about a particular aircraft or flight via a first detection channel at a first time, may determine that the first set of identifying information lacks commonality with previously received sets of identifying information for other detected aircraft of flights, and may track the particular aircraft or flight based on the first set of identifying information. The system may then obtain a second set of identifying information via a different second detection channel at a second time, may determine commonality between the second set of identifying information and the first set of identifying information, and may update the tracking of the particular aircraft or flight by incorporating or adding identifying information from the second set of identifying information.

Embodiments described herein provide for an electronic device comprising a set of classifiers that can determine whether the electronic device is likely on an airplane. Upon a determination that the electronic device is likely on an airplane, one or more wireless radios on the electronic device (e.g., an ultra-wideband ranging radio, a cellular radio, etc.) may be disabled or a prompt can be displayed to enable a user to place the device into airplane mode.

A method may include determining, by a wireless device not in a radio resource control (RRC) connected state, a change of height of the wireless device. The method may also include receiving, by the wireless device from the base station, at least one of a threshold for determining the change of height, a hysteresis value for determining the change of height, an event type associated with the change of height, and a parameter indicating that the threshold, the hysteresis value, and/or the event type is for height measurements by the wireless device while not in the RRC connected state. The method may further include transmitting, by the wireless device to a base station, a message indicating the change of height of the wireless device.

Disclosed are an unmanned aerial vehicle positioning method and apparatus, and a storage medium. The unmanned aerial vehicle positioning method comprises: when a first unmanned aerial vehicle loses a satellite positioning signal, determining first information and second information of each of at least three second unmanned aerial vehicles on the basis of a UWB signal, wherein the first information represents a relative distance between each second unmanned aerial vehicle and the first unmanned aerial vehicle, and the second information is carried by the second unmanned aerial vehicle in a transmitted UWB signal and represents real-time positioning information measured by the second unmanned aerial vehicle on the basis of the satellite positioning signal; and determining real-time positioning information of the first unmanned aerial vehicle according to the first information and the second information of each of the at least three second unmanned aerial vehicles.

Airborne LiDAR bathymetry systems and methods of use are provided. The airborne LiDAR bathymetry system can collect topographic data and bathymetric data at high altitudes. The airborne LiDAR bathymetry system has a receiver system, a detector system, and a laser transmission system.