Satellites in a non-terrestrial network may provide positioning reference signals (PRS) to user equipment (UE), with which the UE may determine its position using propagation delay difference measurements, such as Time Difference of Arrival (TDOA) measurement. Due to the large distances between satellites and the UE, the propagation delay differences in the PRS received from satellites may exceed half a radio frame, resulting in a frame level timing ambiguity in the differential measurements. The satellites transmit secondary PRS, along with primary PRS, that include timing information to resolve frame level timing ambiguity of the primary PRS. The positioning occasions in the secondary PRS, for example, may be aligned with corresponding positioning occasions primary PRS within each radio frame, and are transmitted with a periodicity that is an integer multiple (greater than 1) of that of the primary PRS to resolve the frame level timing ambiguity of the primary PRS.

Some examples disclosed herein include a method. The method may include determining a relationship between a property of a position, navigation, and timing (PNT)-based timing signal and a property of a virtual time source. The method may also include determining a state of the PNT-based timing signal at least partially responsive to the determined relationship. The method may also include one or more of: providing the PNT-based timing signal at least partially responsive to determining that the state of the PNT-based timing signal corresponds to a first state, disregarding the PNT-based timing signal at least partially responsive to determining that the state of the timing signal corresponds to a second state, and providing an indication of the state of the PNT-based timing signal at least partially responsive to determining that the state of the timing signal corresponds to a second state. Related devices, systems and methods are also disclosed.

Methods, devices, systems, media, and receivers for processing GNSS signals are described. One aspect of the present disclosure provides a method for processing satellite signals of a Global Navigation Satellite System (GNSS), the method comprising: receiving a first GNSS signal transmitted in a first GNSS operational band by a satellite of the GNSS and a second GNSS signal transmitted in a second GNSS operational band by the satellite; tracking the first GNSS signal; generating, from the tracking of the first GNSS signal, tracking parameters for the first GNSS signal; and decoding, at least based on the tracking parameters for the first GNSS signal, the second GNSS signal, wherein the first GNSS operational band is one of L1 band, L2 band or L5 band, and the second GNSS operational band is L6 band.

Mobile wireless terminals, such as vehicles in traffic, can determine the relative positions of other vehicles with improved precision by arranging to acquire GNSS (global navigational satellite system) signals simultaneously, and then analyzing the various data sets differentially. Simultaneous acquisition can cancel many important errors such as motional errors of the vehicles, atmospheric distortions, and satellite timebase errors. Differential analysis to determine the relative positions of vehicles (as opposed to their overall geographical coordinates) can reduce errors related to satellite ephemeris and velocity, as well as roundoff errors. Localization with a precision of less than 1 meter can greatly improve collision avoidance while discriminating near-miss scenarios from imminent collisions, according to some embodiments. Messaging examples, in 5G and 6G, to manage the simultaneous acquisition and differential analysis, are provided in examples. Many other aspects are disclosed.

A method, apparatus and computer readable storage medium are provided for determining whether or not GNSS navigation data are potentially manipulated. In the context of a method, GNSS reference data is received that represents one or more GNSS signals observed by a reference receiver at a reference position. The method also receives GNSS navigation data and determines, at least partially based on said GNSS reference data and the GNSS navigation data, a position estimate of said reference position. The method further includes determining, at least partially based on said reference position and the position estimate of said reference position, whether or not the GNSS navigation data are potentially manipulated.

In one embodiment, a system includes a global navigation satellite system (GNSS) receiver unit, a first inertial measurement unit (IMU) and a second IMU. The system may further include a first micro-controller unit (MCU) coupled to the first IMU and the GNSS receiver unit to receive data from the first IMU and the GNSS receiver unit and a second MCU coupled to the second IMU and the GNSS receiver unit to receive data from the second IMU and the GNSS receiver unit.

A circuit includes a first wireless radio frequency (RF) transceiver and a time-of-flight estimator included with or coupled to the first wireless RF transceiver. The time-of-flight estimator estimates a time-of-flight between the first wireless RF transceiver and a second wireless RF transceiver using: a first interval value that indicates an amount of time between when the second wireless RF transceiver received the message and when the second wireless RF transceiver transmitted the response; a first error value that indicates an offset between when the second wireless RF transceiver sampled the message and a target sampling point for the message; a second interval value that indicates an amount of time between when the TX chain sent the message and when the RX chain received the response; and a second error value that indicates an offset between when the RX chain sampled the response and a target sampling point for the response.

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 network—such as a LoRa network—that has a range of at least 10 miles.

A multipath suppression method based on a steepest descent method includes stripping, according to carrier Doppler shift information fed back by a phase-locked loop, a carrier from an intermediate-frequency signal input into a tracking loop; constructing, on the basis of the autocorrelation characteristics of a ranging code, a quadratic cost function related to a measurement deviation of the ranging code, the cost function being not affected by a multipath signal; and finally, designing a new tracking loop of the ranging code according to the quadratic cost function and the principle of the steepest descent method, such that the loop has a multipath suppression function without increasing the computational burden. Compared with a narrow-distance correlation method, the current method reduces computing resources by ⅓, the design and adjustment of parameters are simple and feasible, a multipath suppression effect is superior, and a high engineering application value is obtained.

A multipath suppression method based on a steepest descent method includes stripping, according to carrier Doppler shift information fed back by a phase-locked loop, a carrier from an intermediate-frequency signal input into a tracking loop; constructing, on the basis of the autocorrelation characteristics of a ranging code, a quadratic cost function related to a measurement deviation of the ranging code, the cost function being not affected by a multipath signal; and finally, designing a new tracking loop of the ranging code according to the quadratic cost function and the principle of the steepest descent method, such that the loop has a multipath suppression function without increasing the computational burden. Compared with a narrow-distance correlation method, the current method reduces computing resources by ⅓, the design and adjustment of parameters are simple and feasible, a multipath suppression effect is superior, and a high engineering application value is obtained.