A user terminal positioning method is used in an edge cloud server, and includes: receiving satellite positioning information sent by a user terminal; determining a location service area in which the user terminal is located; on the basis of the location service area, acquiring a differential correction model corresponding to the location service area from a public cloud server; using the satellite positioning information and the differential correction model to implement location calculation to obtain location information of the user terminal; and sending the location information to the user terminal.

An information sending method includes: obtaining first information for positioning a terminal device, the first information comprising differential positioning information, or the first information comprising at least one of environmental information or a satellite positioning signal, and differential positioning information; and when the first information satisfies a preset condition, sending the differential positioning information to the terminal device. The method can effectively reduce the sending of unnecessary differential positioning information, thereby avoiding unnecessary energy consumption waste of a roadside device and the terminal device, saving the time of the terminal device to calculate position information, and improving the high-precision positioning efficiency of the system.

A method and system for estimation of the current location of a remote radio beacon, at a mobile device, based on two historical positions thereof provided via at least two satellite relays and one base station, particularly usable for Search and Rescue. A beacon is configured to periodically transmit short RF signals, relayed by a first satellite payload to a base station, at which the position of the beacon is resolved; then, the base station transmits a message, relayed by a second satellite payload and detectable by a mobile device, encoding two previous positions of the beacon, stamped with time tags. Finally, the mobile device decodes the information about said two previous positions of the beacon, and accordingly estimates the current position of the beacon, accounting for possible different time references.

Techniques are provided for determining a location of a mobile device based on visual positioning solution (VPS). An example method for determining a position estimate of a mobile device includes obtaining sensor information, detecting one or more identifiable features in the sensor information, determining a range to at least one of the one or more identifiable features, obtaining coarse map information, determining a location of the at least one of the one or more identifiable features based on the coarse map information, and determining the position estimate for the mobile device based at least in part on the range to the at least one of the one or more identifiable features.

In one aspect of the present disclosure, an apparatus for locating a mobile railway asset is provided that includes a power source, GNSS circuitry configured to utilize electrical power from the power source to receive GNSS data, and a controller operatively coupled to the power source and the GNSS circuitry. The controller has a power saving mode wherein the controller inhibits the GNSS circuitry from receiving GNSS data and a standard accuracy mode wherein the controller permits the GNSS circuitry to receive GNSS data for a first time period. The controller has a higher accuracy mode wherein the controller permits the GNSS circuitry to receive GNSS data for a second time period longer than the first time period, and subsequently across multiple instances, in order to collect more GNSS data that can be qualified, filtered, sorted, and averaged to produce a more accurate result.

A microservice node can include a network real-time kinematics (RTK) device to receive raw satellite data associated with a physical reference station via a first message in a first message queue, to receive static virtual location data associated with a static virtual reference station (VRS) agent, to generate corrections data for the static VRS agent based on the raw satellite data and the static virtual location data, and to transmit the corrections data to the static VRS agent. The microservice node can include the static VRS agent to publish the corrections data in a second message in a second message queue. The microservice node can include an adapter device to determine that the client device is located within a geographic area associated with the static VRS agent and to transmit the corrections data from the second message queue to the client device.

The present disclosure describes a system for dynamically determining an accurate location of a light electric vehicle. For example, if a light electric vehicle is within a predetermined distance of a location for which an accurate location determination is needed or required, a light electric vehicle management system may update the determined location of the light electric vehicle with a location correction factor that is based, at least in part, on a reference location provided by a stationary reference point.

A Global Navigation Satellite System (GNSS) receiver for processing satellite signals with integer cross ambiguity resolution. The receiver includes an antenna assembly receiving signals from a set of GNSS satellites. The receiver includes a transceiver establishing a communication link with a spaced-apart GNSS receiver and receiving data from the spaced-apart GNSS receiver to make up a base station and rover pair performing DD techniques. The receiver includes a processor and a cross ambiguity fixing module provided by the processor executing code to generate an error correction. The receiver includes an estimator provided by the processor executing code to provide a geographical position solution by DD processing the data from the space-apart GNSS receiver and the signals from the set of GNSS satellites along with the error correction, which may provide a search space with more DD ambiguities or may address quarter or half cycle bias between receiver types.

One example transmission method includes receiving, by a network device, a first transmission parameter that is sent by a server and that is used to transmit assistance data, where the first transmission parameter includes configuration information and/or priority information, and the configuration information is used to indicate a transmission cycle of each of one or more system messages and/or a size of a data volume that can be carried in each of the one or more system messages, and sending, by the network device, first configuration information to the server according to the first transmission parameter, where the first configuration information is used to indicate a transmission cycle of a first system message and a size of a data volume that can be carried in the first system message, and the one or more system messages include the first system message.

An error model calibration method can analyze discrete distribution situations of a pseudo-range measurement error and a Doppler measurement error under different carrier-to-noise ratios and altitude helping to calibrate and improve the universality of error model calibration. Observation data is received and satellite data is acquired based on the observation data. A pseudo-range error array and a Doppler error array are calibrated based on the observation data, geometric parameters, and the satellite data. The pseudo range error array describes errors of two terminals under a carrier-to-noise ratio and altitude angle of a satellite. The Doppler error array describes a discrete distribution of the two terminals. The pseudo-range error models respectively corresponding to the at least two terminals are fit using the pseudo-range error array. The Doppler error models respectively corresponding to the at least two terminals are fit using the Doppler error array.