Systems and techniques are described for detecting one or more timing errors. For example, a system can receive, from a navigation system, navigation timestamp information at a first instance and a second instance. The system can determine a navigation system time difference based on the navigation timestamp information at the first instance and the second instance. The system can further receive, from a wireless device, network timestamp information at the first instance and the second instance. The system can determine a network time difference based on the network timestamp information at the first instance and the second instance. The system can further determine whether time reporting by the navigation system is correct based on the navigation system time difference and the network time difference.

A system or method for generating or distributing GNSS corrections can include or operate to: generate a set of corrections based on satellite observations, wherein each correction of the set of corrections comprises an area associated with the correction, a tag, and correction data; update a set of stored corrections with the set of received corrections based on a tag associated with each correction of the set of stored corrections and the tag associated with each correction of the set of received corrections; and transmit stored corrections of the set of stored corrections to the GNSS receiver when the area associated with the stored corrections matches the locality of the GNSS receiver.

A geographic tracking system with minimal power and size required at the mobile terminal collects observation data at the mobile terminal, forwards the data to a processor, which calculates the position. The mobile terminal needs only to gather a few milliseconds of observation data, and to relay this observation data to the processor. In one embodiment, the observation data is communicated to the processor using either a satellite communication network or through a mobile telephone network.

Vehicles in traffic cannot coordinate their actions properly in 5G and 6G without knowing the location and the wireless address of the other vehicle. GNSS signals are generally too slow and too imprecise to discern vehicles in, for example, adjacent lanes. Directional wireless beams are subject to reflections from conducting surfaces, producing chaotic signals and false locations if more than one vehicle is within the transmission beam. To provide precise localization in traffic, methods are disclosed for multiple vehicles (or other mobile devices) to acquire satellite signals simultaneously, and then analyze the data differentially, thereby canceling major uncertainties (such as propagation variations, ephemeris motion, and clock jitter), and thereby determining the relative positions precisely. Unlike prior-art “precision” positioning methods, the disclosed methods do not require averaging multiple acquisitions. On the contrary, examples show how high differential precision can be obtained without averaging, using measurements acquired at the predetermined time.

Provided are a method by which a first device performs wireless communication, and a device for supporting same are provided. The method can comprise the steps of: receiving information related to a sidelink (SL) bandwidth part (BWP); receiving, from a network, SL synchronization priority order information set through global navigation satellite systems (GNSS)-based synchronization; receiving, from the network, information for indicating whether selection of a base station (BS)-related synchronization reference is disabled; detecting, on the basis of the information for indicating that the selection of the base station-related synchronization reference is disabled, a synchronization signal transmitted through the SL BWP by a GNSS-related synchronization reference or other UEs; and performing synchronization with respect to the GNSS-related synchronization reference or one synchronization reference from among the other UEs on the basis of the synchronization signal.

The present application relates to PPP-RTK, RTK, SSR, or like correction data based devices and methods to produce geolocation solutions with improved accuracy. Further, such devices and methods may be further employed in various related utility locator devices, utility locating transmitters, and other utility locating and mapping devices.

Apparatus and method for communication in non-terrestrial networks are disclosed. A set of Doppler shift curves for different distances to one or more satellite orbits is obtained. Measurements of satellite transmission are performed to obtain estimate of instantaneous Doppler shift of the transmission, the measurements including a timestamp. A Doppler shift curve corresponding to the measurements is calculated. A time offset on the selected curve is determined utilising the timestamps of the measurements, the time offset indicating the position of the Doppler shift of the apparatus on the curve. The Doppler shift of the satellite transmission is determined utilising the selected curve and the time offset.

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.

In some embodiments, Satellite Positioning System (SPS) time information associated with at least one SPS may be maintained at a UE, which may also receive time information from a Wireless Wide Area Network (WWAN). In some embodiments, the UE may determine a corrected SPS time information for a first time based, in part, on the received WWAN time information, where the corrected SPS time information corrects the SPS time information associated with the at least one SPS maintained at the UE. The UE may initiate transmission of SPS timing assistance information to an associated device over a Wireless Personal Area Network (WPAN), wherein the SPS timing assistance information comprises the corrected SPS time information for the first time.

Provided is a method for matching telemetry packets for satellite image processing, which includes receiving a plurality of image data telemetry packets and a plurality of auxiliary data telemetry packets, the plurality of image data telemetry packets include satellite image data photographed from a satellite, but do not include satellite image sequence information, and the plurality of auxiliary data telemetry packets include satellite image sequence information, correcting a packet time of either the plurality of image data telemetry packets or the plurality of auxiliary data telemetry packets by using a predetermined mathematical formula, and matching the plurality of image data telemetry packets and the plurality of auxiliary data telemetry packets corresponding to the same satellite image sequence by using the packet time.