A device management system is comprised of a server-side proxy component and at least one back-end computer. The server-side proxy component is configured to receive ephemeris and almanac data from a source and information from at least one client describing the geographic location of the client. The server-side proxy component is configured to send the ephemeris and almanac data and the information from the client to a back-end computer. Responsive to receiving this data and information, the computer compiles it into GPS data relevant to the location of the client.

A device management system is comprised of a server-side proxy component and at least one back-end computer. The server-side proxy component is configured to receive ephemeris and almanac data from a source and information from at least one client describing the geographic location of the client. The server-side proxy component is configured to send the ephemeris and almanac data and the information from the client to a back-end computer. Responsive to receiving this data and information, the computer compiles it into GPS data relevant to the location of the client.

A method of predicting the orbit of a satellite of a satellite positioning system, including: associating first and second types of satellites with first and second models of celestial mechanics forces, respectively; storing first ephemerides data of a satellite, associated to first time intervals and second ephemerides data associated to second time intervals. Further, the method comprises: calculating reference satellite positions based on the first ephemerides data; estimating first and second satellite positions in the first time intervals by using the second ephemerides data and the first and second forces models, respectively; determining first and second estimate errors by comparing the reference positions with the first and second positions, respectively; and detecting the type of satellite between the first and second types by an analysis of the first and second errors.

A method of predicting the orbit of a satellite of a satellite positioning system, including: associating first and second types of satellites with first and second models of celestial mechanics forces, respectively; storing first ephemerides data of a satellite, associated to first time intervals and second ephemerides data associated to second time intervals. Further, the method comprises: calculating reference satellite positions based on the first ephemerides data; estimating first and second satellite positions in the first time intervals by using the second ephemerides data and the first and second forces models, respectively; determining first and second estimate errors by comparing the reference positions with the first and second positions, respectively; and detecting the type of satellite between the first and second types by an analysis of the first and second errors.

A present invention relates to a positioning processing apparatus including: an orbit information receiving unit that receives Ephemeris relating to an orbit of a GPS satellite from the GPS satellite; a predicted orbit information receiving unit that receives a predicted value of the Ephemeris via a network from a server in which the Ephemeris is accumulated in advance; a power feeding unit that performs control relating to electric power supply; a first determination unit that determines a state of electric power supply; a selection unit that selects the orbit information receiving unit or the predicted orbit information receiving unit based on the state of electric power supply determined; and a positioning unit that performs positioning based on the Ephemeris or a predicted value of the Ephemeris received by the orbit information receiving unit or the predicted orbit information receiving unit selected by the selection unit.

A present invention relates to a positioning processing apparatus including: an orbit information receiving unit that receives Ephemeris relating to an orbit of a GPS satellite from the GPS satellite; a predicted orbit information receiving unit that receives a predicted value of the Ephemeris via a network from a server in which the Ephemeris is accumulated in advance; a power feeding unit that performs control relating to electric power supply; a first determination unit that determines a state of electric power supply; a selection unit that selects the orbit information receiving unit or the predicted orbit information receiving unit based on the state of electric power supply determined; and a positioning unit that performs positioning based on the Ephemeris or a predicted value of the Ephemeris received by the orbit information receiving unit or the predicted orbit information receiving unit selected by the selection unit.

Crowd-sourced location data from client devices is processed using enhanced filtering techniques in non-realtime by a centralized server process to improve the accuracy and reliability of georeferenced geodata. At a server computer, enhanced filtering techniques make use of future information to improve georeferencing of the geodata. In some implementations, the server computer can be configured to implement batch processing of raw GNSS data and other crowd-sourced location data (e.g., wireless scan data, inertial sensor data) using, for example, a smoothing filter or batch estimator. Augmentation data (e.g., satellite ephemeris data, clock offset and ionospheric delay) and sensor data independent of client devices can also be used by the server computer to augment the crowd-sourced location data to further improve georeferencing of geodata.

Method, system, and device are provided for position determination with the use of predicted ephemeris to reduce the time-to-first-fix. The method includes: in a device, receiving broadcast orbit data and clock states from a plurality of satellites to determine first assistance data for the plurality of satellites, and numerically predicting first ephemeris for the plurality of satellites using the first assistance data. The method also includes: in a server system, receiving precise orbit data and accurate satellite clock states from a global GNSS service network to determine second assistance data; in a device, receiving the second assistance data and numerically predicting second ephemeris using the second assistance data. The method further includes: in a device, receiving satellite signals from a plurality of satellites, checking the period of validity of the first predicted ephemeris and the second predicted ephemeris respectively to select a predicted ephemeris from both the first predicted ephemeris and the second predicted ephemeris.

Method, system, and device are provided for position determination with the use of predicted ephemeris to reduce the time-to-first-fix. The method includes: in a device, receiving broadcast orbit data and clock states from a plurality of satellites to determine first assistance data for the plurality of satellites, and numerically predicting first ephemeris for the plurality of satellites using the first assistance data. The method also includes: in a server system, receiving precise orbit data and accurate satellite clock states from a global GNSS service network to determine second assistance data; in a device, receiving the second assistance data and numerically predicting second ephemeris using the second assistance data. The method further includes: in a device, receiving satellite signals from a plurality of satellites, checking the period of validity of the first predicted ephemeris and the second predicted ephemeris respectively to select a predicted ephemeris from both the first predicted ephemeris and the second predicted ephemeris.

An ephemeris data processing method, electronic device and storage medium are disclosed, which relate to the fields of satellite communication, positioning, and navigation. The ephemeris data processing method includes: receiving raw ephemeris data from a plurality of user devices; analyzing the raw ephemeris data according to an analysis mode of each user device and a satellite ephemeris protocol of each galaxy. According to embodiments of the present disclosure, ephemeris data of a plurality of user devices can be centrally processed and stored, thereby storing more complete ephemeris data and then providing more abundant ephemeris data.