A device and method for positioning personal mobility vehicle are disclosed. The positioning method is implemented by a computer and comprises receiving messages from a plurality of auxiliary road side units, obtaining distances between a Personal Mobility (PM) vehicle and the plurality of auxiliary road side units based on the messages, estimating a candidate position of the PM vehicle based on the distances between the PM vehicle and the plurality of auxiliary road side units, receiving correction data from a reference road side unit, correcting the candidate position based on the correction data, and determining the corrected candidate position as a final position of the PM vehicle.

A server, a communication system, and a positioning method based on mobile network thereof are provided. In the method, a first measurement report and a second measurement report are received. The first measurement report is related to a first network performance measurement of a user equipment (UE) with a mobile network and includes first location information of the UE, and the second measurement report is related to a second network performance measurement of the UE with the mobile network. The Second location information of the UE is determined according to a monitoring result obtained from the second measurement report. The monitoring result is related to the signal transmission condition of the UE in the mobile network. The second location information is calibrated according to the first location information. Accordingly, the accuracy of the location of the UE may be improved.

A motor vehicle self-driving method comprises obtaining a first positioning mode and a first driving route; obtaining second vehicle information of a second motor vehicle, where the second vehicle information includes a second positioning mode and a second driving route; determining whether the first driving route overlaps with the second driving route; when the first driving route overlaps with the second driving route, comparing positioning precision of the first positioning mode with positioning precision of the second positioning mode; determining a positioning mode with higher positioning precision in the first positioning mode and the second positioning mode as a target positioning mode; determining a target driving parameter based on the target positioning mode; and controlling the first motor vehicle and the second motor vehicle to drive based on the target driving parameter.

Disclosed is a method comprising obtaining one or more future position estimates of a terminal device, and transmitting the one or more future position estimates to a base station and/or to a location management function, wherein the one or more future position estimates are transmitted in a message comprising a list of one or more pairs of a timestamp and an estimated future position at a time indicated by the timestamp.

Provided is a positioning method performed by a user equipment (UE). The positioning method includes receiving reference signals from a plurality of base stations; acquiring phase difference information depending on a wavelength of at least one subcarrier among subcarriers included in the reference signals; calculating first estimated coordinates of the UE based on first phase difference information depending on a wavelength of a first subcarrier among the subcarriers; and calculating a first travel distance difference between the reference signals from the first estimated coordinates and estimating integer ambiguity of a second phase difference depending on a wavelength of a second subcarrier from the first travel distance difference.

System and device configurations, and processes are provided for determining position based on low Earth orbit (LEO) satellite signals. Frameworks described herein can include performing Doppler frequency measurement for received quadrature phase shift keying (QPSK) signals. The framework may include channel tracking operations to determine Doppler shift measurements, a navigation filter operation to determine clock drift based on each Doppler shift measurement from each channel tracking loop, and determining position of a device based on LEO satellite signal sources. Frameworks described herein are also provided for carrier phase differential (CD)—low Earth orbit (LEO) (CD-LEO) measurements that may utilize a base and a rover without requiring prior knowledge of rover position. Embodiments can also cancel effects of ionospheric and tropospheric delays on the carrier phase and CD-LEO measurements.

Systems and methods for a low-frequency radio navigation system are described. The system may include a transmitter comprising a base coded modulator configured to generate a base modulation and a data coded modulator configured to generate a data modulation; wherein the transmitter radiates a continuous, constant-power chirped-FM spread spectrum signal, comprising: the base modulation; and the data modulation, wherein the data modulation is orthogonal to the base modulation. The system may also include a receiver comprising a digital signal processor, wherein at least one matched filter coupled to the digital signal processor, the at least one matched filter configured to decode said base modulation and data-encoded modulation and provide a correlation function for received signals received from at least three geographically-spaced transmitters.

A low-power-consumption positioning method includes an electronic device sending first setting information to a server, where the first setting information is used to indicate the server to broadcast positioning assistance data to the electronic device at a first time interval (for example, 1 second). The electronic device resolves high-precision positioning information based on the positioning assistance data. When the electronic device meets a first preset condition, the electronic device may send second setting information to the server. The second setting information instructs the server to broadcast the positioning assistance data to the electronic device at a second time interval (for example, 60 seconds). The first time interval is shorter than the second time interval.

A system includes vehicles, a central control unit, and a stationary transceiver module connected to the central control unit via a bidirectional communications channel. Each vehicle has a transceiver module for bidirectional communication with the stationary transceiver module and/or a vehicle. The transceiver module has a controllable light source and a light sensor. The central control unit transmits driving orders to the vehicles via the stationary transceiver module. A first vehicle that is located within a spatial transmission area of the stationary transceiver module forwards a driving order to a second vehicle that is located outside the spatial transmission area of the stationary transceiver module, and the second vehicle transmits data via the first vehicle and the stationary transceiver module to the central control unit.

A microservice node can receive a request for information identifying a corrected physical location of a client device. The request can include raw satellite data associated with the client device. The microservice node can convert the raw satellite data to a Radio Technical Commission for Maritime Services (RTCM) format. The microservice node can determine, based on converting the raw satellite data to the RTCM format, an estimated physical location of the client device. The microservice node can receive, based on transmitting a request to a network real-time kinematics (RTK) device, corrections data associated with the estimated physical location of the client device. The microservice node can determine, using a cloud RTK engine, the corrected physical location of the client device based on the estimated physical location and corrections data. The microservice node can transmit, to the client device, the information identifying the corrected physical location of the client device.