A computer implemented method for determining a position, and/or an acceleration, and/or an angular rate and/or an orientation of a vehicle includes the following steps carried out by computer hardware components: determining first measurement data using a first sensor; determining a preliminary position and/or a preliminary orientation based on the first measurement data; determining second measurement data using a second sensor, wherein the second sensor includes a radar sensor and/or a LIDAR sensor and/or a camera; determining a preliminary acceleration and/or a preliminary angular rate based on the second measurement data; and determining a final position, and/or a final acceleration, and/or a final angular rate and/or a final orientation based on the preliminary acceleration and/or the preliminary angular rate, and the preliminary position and/or the preliminary orientation.

An electronic chip, chip assembly, device, system, and method enabling tracked data communications. The electronic chip comprises a plurality of processing cores and at least one hardware interface coupled to at least one of the one or more processing cores. At least one processing core implements a game and/or simulation engine, at least one processing core implements a position engine, and at least one processing core implements a gyroscope and, optionally, an IMU. The at least one position engine obtains pose data from an external positioning system comprising GNSS augmented by millimeter-wave cellular networks and/or Wi-Fi; and internal pose data from the gyroscope, optional IMU, and game and/or simulation engine, the data comprising inertial, 3D structure, and simulation data, thereby computing a 6 DOF pose of the client device, driving processing of 3D applications by the one or more game and/or simulation engine.

A central location system provides an end-to-end high-accuracy positioning solution that provides navigation, geo-tagging, and general positioning data to receivers. The central location system does this by providing a cloud correction service and a robust positioning engine. For example, the central location system may provide single-frequency receivers with corrections for atmospheric delays and multipath throughout different geographic regions. The central location system computes corrections by leveraging location data from dual-frequency receivers. The central location system may also increase ionospheric delay coverage of portions of a geographic region. With increased ionospheric delay coverage, receivers can compute better location estimates. The central location system may also compute refined location estimates of single-frequency receivers and/or dual-frequency receivers for receivers with limited access to signals transmitted from satellites. The central location system may do this by estimating a receiver's location with respect to the location estimates of other receivers.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine a differential UE-specific timing advance (TA) based at least in part on a difference between a first UE-specific TA associated with a current global navigation satellite system (GNSS) position fix and a second UE-specific TA associated with a previous GNSS position fix. The UE may transmit, to a non-terrestrial network (NTN) node, an uplink message at a time that is based at least in part on the differential UE-specific TA. Numerous other aspects are described.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine a differential UE-specific timing advance (TA) based at least in part on a difference between a first UE-specific TA associated with a current global navigation satellite system (GNSS) position fix and a second UE-specific TA associated with a previous GNSS position fix. The UE may transmit, to a non-terrestrial network (NTN) node, an uplink message at a time that is based at least in part on the differential UE-specific TA. Numerous other aspects are described.

A system and for determining precision navigation solutions decorrelates GPS carrier-phase ambiguities derived from multiple-source GPS information via Least-squares AMBiguity Decorrelation Adjustment (LAMBDA) algorithms. The set of decorrelated floating-point ambiguities is used to compute protection levels and the probability of almost fix (PAF), or the probability that the partial almost-fix solution corresponding to the decorrelated ambiguities is within the region of correctly-fixed or low-error almost-fixed ambiguities. While the PAF remains below threshold and the protection levels remain below alert levels, the optimal navigation solution (floating-point, partial almost-fix, or fully fixed) is generated by fixing the decorrelated ambiguities are one at a time in the LAMBDA domain and replacing the appropriate carrier-phase ambiguities with the corresponding fixed ambiguities, reverting to the last solution if PAF reaches the threshold or if protection levels reach the alert levels.

A system and for determining precision navigation solutions decorrelates GPS carrier-phase ambiguities derived from multiple-source GPS information via Least-squares AMBiguity Decorrelation Adjustment (LAMBDA) algorithms. The set of decorrelated floating-point ambiguities is used to compute protection levels and the probability of almost fix (PAF), or the probability that the partial almost-fix solution corresponding to the decorrelated ambiguities is within the region of correctly-fixed or low-error almost-fixed ambiguities. While the PAF remains below threshold and the protection levels remain below alert levels, the optimal navigation solution (floating-point, partial almost-fix, or fully fixed) is generated by fixing the decorrelated ambiguities are one at a time in the LAMBDA domain and replacing the appropriate carrier-phase ambiguities with the corresponding fixed ambiguities, reverting to the last solution if PAF reaches the threshold or if protection levels reach the alert levels.

Global Navigation Satellite System (GNSS) receivers can provide more accurate positioning when augmented using Real-Time Kinematic (RTK) or Differential GNSS (DGNSS) corrections. Techniques described herein leverage multi-constellation, multi-frequency (MCMF) measurements taken at a base station at first and second times to generate correction information that can be used to detect and correct a bias (or offset) in the location of the base station. This bias may be detected by a rover station, or by the base station itself.

Global Navigation Satellite System (GNSS) receivers can provide more accurate positioning when augmented using Real-Time Kinematic (RTK) or Differential GNSS (DGNSS) corrections. Techniques described herein leverage multi-constellation, multi-frequency (MCMF) measurements taken at a base station at first and second times to generate correction information that can be used to detect and correct a bias (or offset) in the location of the base station. This bias may be detected by a rover station, or by the base station itself.

The cellular device accesses a GPS/GNSS chipset embedded within the cellular device. The GPS/GNSS chipset calculates pseudorange information for use by the GPS/GNSS chipset. The cellular device extracts the pseudorange information from the GPS/GNSS chipset for use elsewhere in the cellular device outside of the GPS/GNSS chipset.