15 results about "Coordinate time" patented technology

The invention discloses a method for constructing a regional polynomial ionosphere oblique delay model, which belongs to the field of ionosphere delay error correction of a global satellite navigation system, and comprises the following steps of: calculating a signal puncture point coordinate through a reference station latitude and longitude coordinate, and calculating a signal puncture point coordinate by taking the signal puncture point coordinate, observation time and a satellite elevation angle as joint independent variables; sTEC constructs a polynomial function model for dependent variables; the spatial-temporal dynamic characteristics and the geometric characteristics of the sight line of the satellite are synchronously incorporated into modeling, and the spatial-temporal change rule of the ionosphere region is accurately captured; by utilizing polynomial analysis characteristics, model parameters can be quickly output, a user can directly calculate the required STEC only by inputting own coordinates, time, a satellite elevation angle and a satellite azimuth angle, the process is remarkably simplified, and the real-time performance is improved. According to the invention, the defects of precision and efficiency in a complex regional scene in the prior art are overcome, and a more reliable ionosphere error correction scheme is provided for regional GNSS high-precision positioning.

The invention discloses a joint correction method and system for GNSS (Global Navigation Satellite System) non-structural deformation and a storage medium. According to the method, GNSS pseudo-range and carrier phase observation data and precise products such as a precise orbit and clock correction are obtained, a three-component displacement time sequence caused by a non-tidal atmospheric load, a non-tidal ocean load and a land hydrological load and a temperature-driven thermoelastic displacement time sequence are constructed, and the three-component displacement time sequence and the temperature-driven thermoelastic displacement time sequence are unified to a reference frame and a time system consistent with GNSS calculation. After interpolating the non-structural displacement vector to an observation epoch according to time, converting the non-structural displacement vector to a geocentric rectangular coordinate system from a site local coordinate system ENU, and projecting the non-structural displacement vector to a sight line direction from a satellite to an observation station reference point to form an equivalent geometric distance correction item; the correction terms are respectively applied to pseudo-range observation and carrier phase equivalent meter domain observation in the form of the same domain as observation, and then GNSS daily arc precise calculation is performed to output a coordinate time sequence, and preferably, the method can be used for a precise single-point positioning integer ambiguity fixing technology.

The invention relates to the field of satellite orbit calculation, in particular to a low-orbit satellite ephemeris analysis method based on a satellite orbit plane coordinate system, which comprises the following steps: acquiring TLE two-line orbit data of a target satellite, geodetic coordinates of a terminal, UTC time and earth rotation average angular velocity; calculating the state of the satellite in the orbital plane; calculating a transformation matrix from a geocentric inertial coordinate system ECI to a satellite orbit plane coordinate system; the LBH coordinates of the terminal are converted into ECEF rectangular coordinates; a rotation matrix from the ECEF to the ECI is constructed, and the ECI system speed of the terminal is calculated; according to the transformation matrix, transforming the ECI coordinate of the terminal into a final satellite orbit plane coordinate system; performing simplified calculation based on a unified calculation framework of a satellite orbit plane coordinate system; and outputting the distance, the relative speed, the Doppler frequency offset and the propagation time delay result which are calculated under the satellite orbit plane coordinate system. And the calculation complexity and the realization difficulty of high-precision orbit forecasting are obviously reduced.

The invention discloses a GNSS (Global Navigation Satellite System) regional earth surface mass migration monitoring method, system and equipment and a medium. Acquiring a coordinate time sequence of the GNSS base station as an observation value of earth surface mass migration; based on the coordinate time sequence, dynamically estimating a dynamic noise estimation result of each time period in the coordinate time sequence, and constructing a time-varying weight matrix; and constructing a basic function between the observation value and the regional earth surface mass migration, constructing a regional earth surface mass migration estimation model in combination with a time-varying weight matrix, and calculating to obtain a regional earth surface mass migration estimation result and outputting the regional earth surface mass migration estimation result. According to the method, dynamic noise estimation is carried out on the earth surface mass migration observation value, various noise parameters are introduced to serve as weight basis, the estimation model is constructed to solve the migration result, and weighting processing is carried out on different base station data, so that the noise influence is remarkably reduced, and the accuracy and stability of deformation estimation are greatly improved; non-structural interference signals are suppressed, and the recognition capability of various geophysical signals is enhanced.

The application discloses a joint correction method and system of GNSS non-tectonic deformation and a storage medium. The method obtains GNSS pseudo-range and carrier phase observation data and precise orbit, clock error and other precise products, constructs three-component displacement time series caused by non-tidal atmospheric load, non-tidal ocean load and land hydrology load and temperature-driven thermal elastic displacement time series, and unifies to a reference frame and a time system consistent with GNSS solution. The non-tectonic displacement vector is interpolated to the observation epoch by time, converted from the local coordinate system ENU to the geocentric rectangular coordinate system, and projected to the line-of-sight direction of the satellite to the reference point of the station to form an equivalent geometric distance correction term; the correction term is applied to the pseudo-range observation and the carrier phase equivalent meter domain observation in the same domain as the observation, and then GNSS daily arc segment precise solution is performed to output the coordinate time sequence, which is preferably used for precise point positioning integer ambiguity fixing technology.

The application provides a foundation pit deformation monitoring method and system, which comprises the following steps: acquiring a three-dimensional coordinate time series of GNSS monitoring points around a foundation pit, calculating a three-dimensional velocity field, estimating a velocity gradient tensor, extracting a principal strain rate based on a symmetric strain rate component of the velocity gradient tensor, establishing a nonlinear mapping of the principal strain rate and a neighborhood search influence factor, adjusting a density clustering core point discrimination condition, generating multiple candidate regional division schemes, constructing a joint penalty function containing a residual velocity discontinuity norm and a model complexity penalty term, selecting an optimal regional division scheme, combining observation errors and model prediction residuals, and calculating local translation parameters and rotation parameters of each region by using an iterative reweighted least squares method, and then performing topological optimization according to the differences between the motion parameters of the regions, merging adjacent regions that meet the motion consistency condition, and reattributing boundary monitoring points until the regional division is stable, and finally outputting a foundation pit deformation field model.

This invention discloses a plate motion analysis method based on GNSS and SLR stations of the Eurasian Plate, belonging to the field of geodesy and surveying engineering technology. The method includes: acquiring raw coordinate time-series data from GNSS and SLR stations and preprocessing them; decomposing the preprocessed sequence using singular spectrum analysis (SSA) to reconstruct and separate trend, periodic, and noise terms; performing Fast Fourier Transform (FFT) on the reconstructed signal to extract frequency domain features; establishing a comprehensive model of linear velocity plus periodic correction by combining time and frequency domain features; and analyzing the motion characteristics of the Eurasian Plate based on this model to achieve motion trend prediction and anomaly detection. This invention, through the combination of SSA and FFT, significantly improves the accuracy of motion parameter estimation and the ability to identify weak signals, providing a reliable method for plate motion analysis and earthquake prediction.

The application discloses a GNSS thermal-elastic deformation estimation method based on a layered full-spectrum finite element model, which constructs a thermal-elastic coupling finite element model of a multi-layer medium of "shallow soil-deep bedrock", uses reanalysis soil temperature data with a resolution of 6 hours as temperature forcing, carries out site modeling in combination with site layered parameters (such as thermal / mechanical parameters and thickness of soil and bedrock), and adopts multi-UTC time solving and vector averaging to inhibit time sequence bias caused by fixed UTC sampling; in numerical solving, diurnal, seasonal to interannual full-band thermal-elastic responses are solved by explicit analysis, and the vertical displacement estimation sequence of the GNSS site and the correction field are output, so that the method is used for non-structure signal separation and precision improvement of the GNSS coordinate time sequence, and has global promotion and engineering application feasibility.

The application discloses a kind of construction methods of regional polynomial ionospheric oblique delay model, belong to the ionospheric delay error correction field of global satellite navigation system, comprising: the signal piercing point coordinates are calculated by the longitude and latitude coordinates of reference station, then signal piercing point coordinates, observation time and satellite elevation angle are jointed as independent variable, and STEC is as dependent variable to construct polynomial function model;By synchronously including the space-time dynamic characteristics and satellite line-of-sight geometric characteristics into modeling, the space-time variation law of ionosphere is accurately captured;Using the analytical properties of polynomial, the model parameters can be quickly output, users only need to input their own coordinates, time, satellite elevation angle and satellite azimuth angle to directly calculate the required STEC, significantly simplify the process and improve real-time performance.The present application fills the accuracy and efficiency gap of the prior art in the complex scene, and provides a more reliable ionospheric error correction scheme for regional GNSS high-precision positioning.

The application discloses a multi-phase mixing chaotic feature evaluation method and system based on coordinate time series, wherein the method steps comprise the following steps: recording three-dimensional coordinates of tracer particles in a stirring tank in a chaotic mixing process to obtain three-dimensional coordinate time series of the tracer particles; based on the three-dimensional coordinate time series, three-dimensional trajectory graphs and two-dimensional trajectory graphs are drawn; the two-dimensional trajectory graphs comprise x-y, x-z and y-z two-dimensional trajectory graphs; based on the three-dimensional trajectory graphs and the two-dimensional trajectory graphs, iteration is performed; and the mixing uniformity and the mixing efficiency are judged by judging the number of iterations under different working conditions. The application is theoretically supported by the most basic initial value sensitivity and ergodicity features of chaos and the generation mode of chaos, and has high reliability. Meanwhile, the midpoint coordinate method is introduced, so that the situation that the whole is not chaotic although the local is chaotic is effectively avoided.

The present application relates to geophysics and geodetic data processing technical field, disclose the GNSS time series analysis and modeling method considering variable amplitude, the method comprises the following steps: S1, obtain the GNSS coordinate time series;S2, time series is modeled as the Gaussian process defined by mean function and covariance function;S3, construct the mean function describing long-term linear trend;S4, construct the product kernel by the periodic kernel and the non-periodic smooth kernel multiplication as the covariance function, to unify the periodicity and time-varying amplitude of the signal modeling;S5, the maximum likelihood estimation method is used to solve the hyperparameter in model;S6, the time series is decomposed by using the optimized model, and the time-varying amplitude periodic signal is obtained.The present application can integrally model the periodic signal and its time-varying amplitude by constructing the Gaussian process product kernel, so as to realize the accurate separation of signal component.

The application discloses a GNSS regional ground surface mass migration monitoring method, system, device and medium. A GNSS reference station coordinate time sequence is acquired as an observation value of ground surface mass migration; based on the coordinate time sequence, dynamic noise estimation results of each period in the coordinate time sequence are dynamically estimated, and a time-varying weight matrix is constructed; a basic function between the observation value and regional ground surface mass migration is constructed, a regional ground surface mass migration estimation model is constructed in combination with the time-varying weight matrix, and a regional ground surface mass migration estimation result is obtained and output. Through the application, dynamic noise estimation is performed on the ground surface mass migration observation value, parameters of various noises are introduced as weight bases, an estimation model is constructed, a migration result is obtained, different reference station data are processed by weighting, noise influence is significantly reduced, the accuracy and stability of deformation estimation are greatly improved, non-structural interference signals are inhibited, and the identification ability of various geophysical signals is enhanced.

The invention discloses a GNSS (Global Navigation Satellite System) thermoelastic deformation estimation method based on a layered full-spectrum finite element model, which comprises the following steps of: constructing a'shallow soil-deep bedrock 'multilayer medium thermoelastic coupling finite element model, and taking 6-hour resolution reanalysis soil temperature data as temperature forcing; site modeling is carried out in combination with site stratification parameters (such as thermal / mechanical parameters and thicknesses of soil and bedrock), and multi-UTC time solution and vector averaging are adopted to inhibit time sequence bias caused by fixed UTC sampling; according to the method, the full-band thermoelastic response of day and night, seasons to the internals and the like is explicitly analyzed in numerical solution, and a vertical displacement estimation sequence and a correction field of a GNSS station are output, so that the method is used for non-structural signal separation and precision improvement of a GNSS coordinate time sequence, and the method has global popularization and engineering application feasibility.

The invention provides a GNSS coordinate sequence smoothing method and system based on least square spectrum analysis, and relates to the technical field of coordinate time sequence noise reduction, and the method comprises the steps: obtaining and storing historical GNSS positioning coordinates and real-time GNSS positioning coordinates of a monitoring station; establishing a Gaussian model according to the historical GNSS positioning coordinates and the real-time GNSS positioning coordinates; performing preliminary smoothing on the real-time GNSS positioning coordinates by using the Gaussian model to obtain the preliminarily smoothed real-time GNSS positioning coordinates; and performing secondary smoothing processing on the preliminarily smoothed real-time GNSS positioning coordinates by using a least square spectrum analysis method to obtain final smoothed real-time GNSS positioning coordinates. According to the method, Gaussian model smoothing and least square spectrum analysis are combined, and high-frequency noise, outliers and periodic errors in the GNSS coordinate sequence can be effectively eliminated in real time, so that a clearer and more accurate GNSS coordinate sequence is obtained.

The application provides a coordinate time sequence denoising method, which comprises the following steps: firstly, obtaining an original coordinate time sequence and pre-processing the same; secondly, converting the pre-processed coordinate time sequence into a trajectory matrix, and then performing singular value decomposition on the coordinate time sequence based on the trajectory matrix to obtain decomposition components and calculate the MIC value between each decomposition component and time; finally, selecting the first P components with larger MIC values to reconstruct, taking the reconstructed coordinate time sequence as a denoising result, and thus realizing denoising of the original coordinate time sequence. The application determines the decomposition components for reconstruction through the MIC adaptive criterion, comprehensively considers the MIC values of the decomposition components, the reconstructed sequence and the residual sequence, guarantees that the reconstructed coordinate time sequence has a strong nonlinear relationship, and takes into account more decomposition components and less signal residues, thus realizing scientific and effective denoising.