An Real-Time Kinematic (RTK) and/or Differential GNSS (DGNSS) system is disclosed in which correction data from a plurality of reference stations is provided to the mobile device. A selection of reference stations (from which correction data is provided to the mobile device) can be made based on factors such as the approximate location of the mobile device, geometry of the reference stations, and/or other factors. The mobile device can combine the correction data from the plurality of reference stations in different ways to determine an accurate position fix for the mobile device, without interpolating correction data from the plurality of reference stations.

The system and method facilitates Real-Time-Kinematic (RTK) GNSS with long baseline between a rover receiver and a base station receiver, even in the presence of scintillation or ionospheric disturbances that spatially fluctuate. Residual atmospheric errors can be estimated by a dual error model in a filter to promote efficient fixing or resolution of carrier phase ambiguities.

A positioning method comprises acquiring positioning information of a 5G base station from a satellite, obtaining calibration information based on the positioning information, and broadcasting outwards the calibration information; acquiring initial positioning information of a user terminal from the satellite; accessing a nearest 5G base station in real time, monitoring and acquiring calibration information broadcasted by the nearest 5G base station; and calibrating the initial positioning information acquired in the initial positioning step according to the calibration information acquired in the monitoring step to obtain positioning result information. As described above, the positioning of centimeter level precision can be realized by utilizing the 5G base station, and there is no need to additionally establish a CORS base station and a data center, thereby the cost of precise positioning can be reduced.

The present disclosure provides a satellite differential auxiliary data transmission method, a location method and an apparatus, for ensuring that a better high-precision Beidou satellite location service can be provided on the basis of 5G or other developable technology networks. The satellite differential auxiliary data transmission method includes an LMF acquiring auxiliary information related to a Beidou satellite location system, and calculating auxiliary information for an UE location calculation, the auxiliary information including differential auxiliary data, and sending, via broadcast, to a base station the auxiliary information for the UE location calculation.

Various vehicle technologies for improving positioning accuracy despite various factors that affect signals from navigation satellites. Such positioning accuracy is increased via determining an offset and communicating the offset in various ways or via sharing of raw positioning data between a plurality of devices, where at least one knows its location sufficiently accurately, for use in differential algorithms.

The invention relates to a method for providing an alarm about a positioning fault in a self-moving device. A self-moving device is configured to autonomously move, based on positioning of the self-moving device, inside a working region defined on a map. The method includes: receiving positioning data from a satellite positioning system to locate the self-moving device; detecting whether a positioning fault occurs in the self-moving device; and in response to a detected positioning fault that occurs in the self-moving device, providing an alarm about the positioning fault.

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.

A movable electronic device for providing location information to an external electronic device includes: at least one sensor; a satellite-positioning circuit; a communication interface; and a processor functionally connected to the at least one sensor, the satellite-positioning circuit, or the communication interface. The processor is configured to identify that the electronic device is in a fixed state, identify whether a predetermined time elapses from the identification based on the identification, determine absolute coordinates of an area in which the electronic device positioned using a plurality of signals received from at least one satellite for the predetermined time from the identification based on identification of the elapse of the predetermined time, and transmit information on the determined absolute coordinates to the external electronic device. The transmitted information on the absolute coordinates is used to determine absolute coordinates of an area in which the external electronic device is positioned by the external electronic device.

A method for creating a correction function for improving the accuracy of a GPS device collects multiple time samples at multiple known locations wherein each time sample consists of GPS coordinates and associated satellite data from multiple satellites. The satellite data includes or permits determination of (i) satellite azimuth and elevation of an associated satellite, (ii) Signal-to-Noise Ratio of a received signal from the associated satellite, and optionally (iii) pseudo-range. For each time sample a respective error between the known location and the corresponding GPS coordinates is computed and an error correction function is created as a function of the respective GPS coordinates and the satellite data by applying deep learning/machine learning techniques to the multiple time samples.

Among other things, an equipment for use on board a first ground transportation entity has (a) a receiver for information generated by a sensor of the environment of the first ground transportation entity, (b) a processor, and (c) a memory storing instructions executable by the processor to generate and send safety message information to a second ground transportation entity based on the information generated by the sensor.