12 results about "Virtual Reference Station" patented technology

The invention discloses a dynamic network RTK technology improvement method based on a stratospheric airship, and relates to the field of dynamic network RTK technology improvement, and the method comprises the steps: employing three stratospheric airship air dynamic reference stations to build a dynamic network RTK system, obtaining the related data of a GPS satellite, building a regional ionospheric error-position model, and carrying out the calculation of the regional ionospheric error-position model. A ground user moving station receives signals from a GPS satellite to obtain a general coordinate of the ground user moving station, a virtual reference station is established based on the general coordinate of the ground user moving station, an error correction number on the virtual reference station is calculated according to the relative geometric position relation of a user, the stratospheric airship air dynamic base station and the GPS satellite in combination with a regional ionosphere error-position model, and the error correction number on the virtual reference station is calculated. And the user moving station carries out difference according to the short base line and the difference correction number, and the position of the user is obtained through calculation. The method provided by the invention has remarkable advantages in the aspects of positioning accuracy, coverage range and application flexibility.

A GNSS landslide geological disaster monitoring and analysis method based on a virtual reference station (VRS) includes: Step 1, continuously operating reference stations determination, namely continu

The invention discloses a data processing method and device, a virtual reference station generation method and device, a system and a medium, and relates to the technical field of navigation positioning, and the method comprises the steps: obtaining continuous operation reference station observation data and an error correction number represented by a GNSS state space threshold; under the condition that the observation data of the continuous operation reference station is double-frequency observation data, converting the double-frequency observation data into multi-frequency observation data based on an error correction number represented by a GNSS state space threshold so as to generate multi-frequency virtual reference station data based on the multi-frequency observation data and use the multi-frequency virtual reference station data for positioning calculation of a terminal to be positioned; the multi-frequency observation data comprises observation data of at least three frequency points. The multi-frequency observation data of the continuous operation reference station can be obtained without replacing hardware such as a receiver and an antenna of the continuous operation reference station, so that the positioning calculation performance is improved.

The invention discloses a WAN (wide area network) RTK (real-time kinematic) enhanced service resolving and broadcasting method based on GeoHash, which comprises the following steps of: coding positions of virtual reference stations in a service area to obtain a virtual reference station set; matching a nearest neighbor base station for each virtual reference station in the virtual reference station set, and carrying out base station networking; when detecting that the data of the reference station is abnormal or the newly added reference station is accessed, triggering a reference station dynamic recombination network based on GeoHash coding; and receiving a request of a moving station, and performing virtual observation data broadcasting based on GeoHash coding. According to the method, the computational efficiency challenge confronted when a large-scale base station generates high-precision differential data in real time in a wide area range is overcome, and the performance bottleneck problem of quick matching of virtual grid points and real-time broadcasting of the differential data under the scene of concurrent requests of massive users is solved.

This application proposes a simulation training method, system, electronic device, and storage medium, which includes: acquiring a preset geographic mapping model, fixed virtual geographic coordinates of a virtual reference station, and satellite ephemeris data; real-time acquisition of physical coordinate data fed back by the mobile platform; converting the physical coordinate data according to the geographic mapping model to obtain the virtual geographic coordinates of the mobile station; calculating the first satellite observation data using the fixed virtual geographic coordinates based on a unified time reference and precise satellite ephemeris data, and calculating the second satellite observation data using the virtual geographic coordinates of the mobile station; generating differential correction data based on the first satellite observation data; acquiring the positioning result output by the receiver of the tested mobile station; calculating the deviation index between the positioning result and the virtual geographic coordinates of the mobile station, and generating a training evaluation report.

The invention discloses a positioning method and electronic equipment. The positioning method comprises the following steps: acquiring a summary position of a moving station; clustering the moving stations according to the summary positions, and setting a virtual reference station; and broadcasting the differential data of the virtual reference station to the moving station.

The invention discloses a wide-area troposphere modeling method fusing a navigation satellite and a meteorological model, and relates to the technical field of satellite positioning, and a server side method comprises the steps: obtaining zenith wet delay of a first troposphere through meteorological data provided by a global numerical weather forecast model in a global navigation satellite ground observation station distribution missing region; interpolating through an Akima interpolation algorithm to generate a second troposphere zenith wet delay synchronized with the global navigation satellite ground observation station; after a virtual reference station meeting requirements is constructed according to a preset principle, third troposphere zenith wet delay corresponding to the second troposphere zenith wet delay is obtained through the second troposphere zenith wet delay; fourth troposphere zenith wet delay and third troposphere zenith wet delay estimated by a global navigation satellite ground observation station are fused, and the fused troposphere zenith wet delay and an improved troposphere polynomial fitting model are used for modeling; and determining a target coefficient of the improved troposphere polynomial fitting model suitable for satellite end broadcasting, and then supplying the target coefficient to a user end for use.

The invention discloses an NRTK differential data optimization method and system for a low-bandwidth link, and the method comprises the following steps: obtaining a visible satellite signal, and packaging the visible satellite signal into an RTCM differential message protocol frame; performing satellite-by-satellite information content scoring on the RTCM differential message protocol frames, retaining observation data of Top-k optimal satellites, and re-framing to form simplified frames; performing single-point positioning calculation on the simplified frame to obtain a coarse positioning result of the edge node; triggering to generate a virtual base station request; a virtual base station is generated in the range, close to the short base line, of the coarse positioning point, and the virtual base station generates differential correction data; and the differential correction data and the simplified frame are fused, extended Kalman filtering is executed, a least square ambiguity decorrelation adjustment algorithm is carried out, and a final positioning result is output. The problem that traditional NRTK positioning depends on a high-bandwidth link technology in non-edge solution is effectively solved, and the accuracy and stability of a low-cost positioning technology are improved.

The application discloses a wide-area troposphere modeling method fusing navigation satellites and meteorological models, and relates to the technical field of satellite positioning. The server method comprises the following steps: in a global navigation satellite ground observation station distribution missing area, after obtaining first troposphere zenith wet delay through meteorological data provided by a global numerical weather forecast model, the Akima interpolation algorithm is used for interpolation to generate second troposphere zenith wet delay synchronous with the global navigation satellite ground observation station; after a virtual reference station meeting the requirements is constructed according to a preset principle, third troposphere zenith wet delay corresponding to the second troposphere zenith wet delay is obtained; fourth troposphere zenith wet delay estimated by the global navigation satellite ground observation station and the third troposphere zenith wet delay are fused, the improved troposphere polynomial fitting model is modeled by using the fused troposphere zenith wet delay and the improved troposphere polynomial fitting model, target coefficients of the improved troposphere polynomial fitting model suitable for satellite-side broadcasting are determined, and the target coefficients are used by a user side.

The invention discloses a linear change characteristic-based CORS ionized layer modeling method and device, and the method comprises the steps: firstly selecting a plurality of linearly distributed GNSS observation stations, carrying out the preprocessing of observation data, calculating the STEC, and enabling the STEC to be projected into VTEC through a single-layer model; and then constructing a VTEC data set along the target direction at the same moment, normalizing the IPP distance of the ionosphere puncture point, calling an international reference ionosphere model to calculate a VTEC reference value as a fitting weight, and adopting a dynamic order determination strategy to complete polynomial fitting through a weighted least square method to obtain a regional ionosphere model. VTEC corresponding to the virtual reference station is obtained through interpolation, ionosphere delay is obtained, the ionosphere delay is further applied to virtual observation value calculation, and linear region high-precision network RTK calculation is achieved. According to the method, the physical characteristic that the ionosphere has change regularity in the longitude / latitude direction is fully utilized, the precision of the regional ionosphere model is remarkably improved while the requirement for the distance of the observation station is lowered, and the observation precision of the linear regional network RTK is further improved.

The application discloses a CORS ionosphere modeling method and equipment based on linear variation characteristics, first, a plurality of GNSS stations in linear distribution are selected, observation data is preprocessed and STEC is calculated, and then STEC is projected into VTEC through a single layer model; then, a VTEC dataset along a target direction at the same time is constructed, IPP distance normalization is performed on the ionosphere piercing point, a VTEC reference value is calculated by calling an international reference ionosphere model as a fitting weight, a dynamic order determination strategy is adopted to complete polynomial fitting through a weighted least square method, and a regional ionosphere model is obtained. The VTEC corresponding to a virtual reference station is obtained through interpolation, ionosphere delay is obtained, and the ionosphere delay is further applied in virtual observation value calculation, and linear regional high-precision network RTK calculation is realized. The application fully utilizes the physical characteristics that the ionosphere has variation regularity in the longitude / latitude direction, relaxes the distance requirement between stations, significantly improves the accuracy of the regional ionosphere model, and further improves the observation accuracy of the linear regional network RTK.