The disclosure concerns a method for providing GNSS sensor data, comprising at least the following steps: (a) receiving GNSS satellite signals; (b) evaluating the received GNSS satellite signals to ascertain GNSS sensor data; (c) rating the received GNSS satellite signals on the basis of at least one GNSS-specific performance criterion; and (d) associating a rating that results from step (c) with the related GNSS sensor data.

An assisted satellite positioning system based on detecting signals from a number of satellites includes: (a) a mobile receiver; and (b) a base station communicating with the receiver over a low-power wireless communication network, the base station providing ephemeris data of a selected number of the satellites, but not all, using a compressed data format. The ephemeris data may include data concerning doppler frequency variations or elevation variations of the selected satellites over a predetermined time interval. The doppler frequency variations and the elevation variations may be represented in the compressed format by coefficients of a polynomial function of time. The polynomial function may be weighted to have lesser relative errors in larger doppler frequencies than lesser doppler frequencies, or to have lesser relative errors in lesser elevations than larger elevations. In one implementation, the low-power wireless communication networksuch as a LoRa networkthat has a range of at least 10 miles.

A location detection system performs a process that uses data from a satellite navigation sensor in conjunction with data from a second sensor to determine the accuracy of location estimates provided by the satellite navigation sensor. The system uses the satellite navigation sensor to determine location estimates from at a first time and a second time. The system also uses data from the second sensor to determine a third location estimate, which represents another estimate of the system's location at the second time. The system uses the three location estimates to determine whether the second location estimate satisfies an accuracy condition. If the accuracy condition is satisfied, then the second location estimate may be provided as input to a process.

Disclosed embodiments facilitate accuracy and decrease error in terrestrial positioning systems, including errors induced by multipath (e.g. ground reflections) in doppler based measurements of SVs. In some embodiments, one or more Global Navigation Satellite System (GNSS) doppler measurements and one or more corresponding GNSS pseudorange measurements for one or more satellites may be obtained. One or more GNSS doppler estimates corresponding to the one or more GNSS doppler measurements may be determined, wherein for a GNSS doppler measurement, the corresponding GNSS doppler estimate may be determined based, in part, on the GNSS doppler measurement and a GNSS pseudorange measurement corresponding to the GNSS doppler measurement. A speed of the UE may be determined based, in part, on the one or more GNSS doppler estimates.

Methods and devices are presented for synchronizing positioning signals in a kinematic location network. In particular, methods and devices are presented for synchronizing a unique positioning signal generated by a positioning-unit device to a reference positioning signal generated by a reference transmitter, where the positioning-unit device and the reference transmitter are moving relative to each other. In certain embodiments the reference transmitter or the positioning-unit device, or both, self-monitor trajectory data comprising one or more of location, velocity or acceleration, e.g. using inertial navigation systems, and broadcast that data in their positioning signals. The trajectory data enables estimation of Doppler shifts and propagation delays associated with the positioning signals, allowing measurement and correction of clock drift for synchronization of the positioning signals.

Some implementations provide low power reduced sampling of global positioning system (GPS) locations. A server may be configured to assist a mobile device in determining a location from a plurality of GPS signal samples and corresponding time stamps provided by the mobile device, such as by identifying a set of possible reference locations, which may be used to calculate a location of the mobile device. In another example, the mobile device may sample GPS signals using a GPS receiver, compress the samples, and provide the compressed samples to the server for processing.

A wireless device obtains one or more Non-Terrestrial Network (NTN) related metrics for each of a plurality of cells in the NTN and selects a cell for camping based at least in part on the one or more NTN related metrics. The one or more NTN related metrics comprise: a geographical distance between the wireless device and a reference point; a distance between the wireless device and one or more satellites serving each cell; a round-trip time (RTT) offered by the one or more satellites serving each cell; RTT variations in each cell; a requirement to pre-compensate the RTT by means of Global Navigation Satellite System (GNSS) measurements; a velocity of the satellite serving each cell; an angle of elevation between the device and the satellite(s) serving each cell; a Doppler shift induced by the satellite serving each cell; a tracking area code broadcasted by the cell; and/or a signal strength/quality offset.

Methods and devices are presented for synchronizing positioning signals in a kinematic location network. In particular, methods and devices are presented for synchronizing a unique positioning signal generated by a positioning-unit device to a reference positioning signal generated by a reference transmitter, where the positioning-unit device and the reference transmitter are moving relative to each other. In certain embodiments the reference transmitter or the positioning-unit device, or both, self-monitor trajectory data comprising one or more of location, velocity or acceleration, e.g. using inertial navigation systems, and broadcast that data in their positioning signals. The trajectory data enables estimation of Doppler shifts and propagation delays associated with the positioning signals, allowing measurement and correction of clock drift for synchronization of the positioning signals.

One example includes a passive radar receiver system including an RF receiver front-end to receive a wireless source signal and a reflected signal. An antenna switch of the front-end switches a first antenna to a receiver chain during a first time to generate first radar signal data based on a combined wireless signal comprising wireless source signal and the reflected signal, and switches a second antenna to the receiver chain during a second time to generate second radar signal data based on the combined wireless signal. A signal processor generates source signal data associated with the wireless source signal based on the first and second radar signal data and generates reflected signal data associated with the reflected signal based on the first and second radar signal data, and generates target radar data associated with a target based on the source and reflected radar signal data.

A method of global navigation satellite system (GNSS) acquisition comprises: computing a line of sight (LOS) angle between a LOS vector of a first satellite and a LOS vector of a second satellite, wherein each LOS vector is the LOS vector between a receiver and the respective satellite; computing a maximum Doppler difference, wherein the maximum Doppler difference is computed between the first satellite and the second satellite based on the LOS angle and a maximum velocity vector attainable by the receiver, wherein Doppler is induced at least by movement of the receiver; determining a final frequency search range based on the maximum Doppler difference computed between the first satellite and the second satellite, wherein the frequency search range includes a center frequency equal to the first frequency at which the first satellite is found; acquiring a GNSS signal from the second satellite at a second frequency.