371 results about "Ionosphere" patented technology

The invention discloses a PPP-RTK time delay processing method and device in conversion from SSR to OSR, and relates to the technical field of global navigation satellite system positioning, and the method comprises the steps: converting orbit, clock error, ionosphere and troposphere delay SSR parameters provided by a server into OSR virtual observation values through geometric distance calculation and projection function mapping; based on a constant velocity model and a static random process, predicting a correction amount of a future moment, and correcting an OSR virtual observation value through state transition matrix compensation time delay; combining server side parameters and user side observation data, recursively generating an error covariance matrix, dynamically adjusting a state prediction weight, and obtaining covariance information through adaptive filtering optimization positioning calculation; and realizing ambiguity rapid fixation and centimeter-level positioning by using the corrected OSR observation value and covariance information. According to the method, real-time centimeter-level positioning in a high-delay scene is realized through a dynamic correction value prediction method and a recursive covariance estimation method.

A user equipment (UE) may receive a set of reference signals (RSs) from a set of non-terrestrial network (NTN) nodes. The set of RSs may travel from the set of NTN nodes to the UE through a first portion of an atmosphere and a second portion of the atmosphere. The UE may measure the set of RSs. The UE may calculate, based on the measured set of RSs, a first set of atmospheric delays associated with the first portion of the atmosphere and a second set of atmospheric delays associated with the second portion of the atmosphere. The UE may calculate a location of the UE based on the measured set of RSs, the first set of atmospheric delays, and the second set of atmospheric delays. The UE may transmit the calculated location of the UE. The first portion may include an ionosphere. The second portion may include a troposphere.

The invention belongs to the technical field of time service, and relates to a Beidou time service delay processing method and device based on PPP-B2b. The method comprises the following steps: acquiring a navigation signal of a current epoch to obtain an observation value, a broadcast ephemeris and precise point positioning service information; obtaining a precision satellite position and a precision satellite clock error according to the broadcast ephemeris and the precision single-point positioning service information; forecasting to obtain a forecast value; calculating a difference value between the forecast value and the observation value, when the difference value does not exceed a preset threshold value, establishing a satellite pseudo-range and carrier phase ionosphere-free combination observation equation, establishing an antenna position constraint virtual observation equation, and performing resolving according to the combination observation equation and the virtual observation equation to obtain a receiver clock error result; and correcting the pulse per second according to a clock error result of the receiver so as to carry out delay time service. According to the invention, accurate time service can be realized, interference and environmental influence are avoided, and the convergence speed is high.

Generate ionospheric delay correction information for satellite positioning users with high precision for one cycle. 【Solution】Based on the output result of a total electron number prediction model that is trained to output a predicted value of the total electron number at a future time (e.g., one hour later) when data such as atmospheric environmental characteristics and solar altitude angle data are input, a correction parameter (a new correction parameter replacing the ionospheric correction parameter of the existing Klobuchar model) ECP for correcting the ionospheric error is generated using an electron density distribution model expanded over a wide area by a spherical harmonic function with the total electron number at the ionospheric penetration point of the received date and time calculated using observation data obtained from ranging signals of multiple frequencies (e.g., L1 wave and L2 wave).

The invention discloses a low ionosphere intelligent inversion method based on VLF radio wave detection, and the method comprises the steps: collecting ground-based very-low-frequency wave amplitude data, defining a gated cycle unit network objective function as an optimized performance index, and employing a mean square error as the objective function; and carrying out dynamic position updating by adopting a whale optimization algorithm, setting a double-stop criterion, and stopping iterative training to obtain an optimal model when the maximum number of iterations or a verification error convergence threshold value is reached. The calculation result of the LWPC model is used as a training set, the GRU network is used as an objective function estimator from foundation very low frequency data to low ionosphere parameters, the inversion method can accurately approach a real model, and the algorithm performance is effective and feasible and is remarkably improved compared with an existing model.

The embodiment of the invention discloses a precision positioning acceleration method and device based on a low earth orbit satellite / LSTM neural network. The method comprises the steps that a terminal obtains a wide lane phase decimal deviation product, a narrow lane phase decimal deviation product and a first GNSS combination observation value which are generated by a server based on an LSTM method and are subjected to coding processing; determining a first GNSS wide lane real number ambiguity according to the first GNSS wide lane real number Based on a precise point positioning algorithm, determining initial GNSS ionosphere elimination combination real ambiguity and other parameters; performing inter-satellite single difference on the first GNSS wide-lane real number ambiguity, and obtaining the integer ambiguity by combining wide-lane phase decimal deviation product fixation; performing inter-satellite single difference on the initial GNSS ionosphere-free combination real ambiguity, determining a first GNSS narrow-lane real ambiguity by combining the wide-lane integer ambiguity, and fixing the first GNSS narrow-lane real ambiguity by using a narrow-lane phase decimal deviation product through a partial ambiguity fixing method to obtain the integer ambiguity of the narrow-lane phase decimal deviation product; and calculating a user coordinate fixed solution in combination with related parameters.

The invention discloses a high-precision Beidou satellite navigation and positioning data acquisition method and system, particularly relates to the technical field of satellite navigation and positioning processing, and is used for solving the problem of positioning error increase caused by receiver hardware delay drift in the prior art. Inverting the first dynamic reference value by using carrier phase integral displacement, and extracting a third-order intermodulation component through coherent demodulation to generate a second dynamic reference value; adopting mutual information entropy analysis to select an effective reference value to calculate a residual error; fitting a theoretical value according to the carrier phase change rate to calculate deviation; marking a hardware drift error when the time domain correlation continuously exceeds a threshold value; finally, the ionosphere residual error is dynamically compensated to generate a corrected observation value, effective separation of the hardware drift error and the ionosphere residual error is realized, and the precision and reliability of long-time observation in a dynamic environment are improved.

The invention discloses a single base station PPP-RTK (point-to-point protocol-real-time kinematic) positioning method and equipment. The method comprises the following steps: firstly, according to acquired single base station observation data, single base station accurate coordinates and ephemeris data, satellite end error corrections and atmospheric delay corrections are respectively obtained based on different resolving models, and the satellite end error corrections comprise satellite clock error corrections and satellite orbit error corrections; the atmospheric delay correction number comprises an ionosphere delay correction number and a troposphere delay correction number of the first frequency; calculating an atmospheric delay difference between the single base station and the user based on an empirical model, and substituting the atmospheric delay difference into the atmospheric delay correction number to obtain an atmospheric delay correction number which can be used for the user; obtaining observation values of users to construct a PPP-RTK observation equation so as to eliminate error terms related to a single base station; and the satellite end error correction number and the atmospheric delay correction number are substituted into a user end PPP-RTK observation equation, so that single base station PPP-RTK positioning can be realized.

Method of measuring ionosphere scintillation phase index Sigma-Phi, the method including, for each of N satellites being tracked, calculating a phase prediction at an i-th sample; for each of the N satellites, calculating an individual loop discriminator signal based on the phase prediction; rejecting the i-th samples of some of the N satellites, where K non-rejected satellites remain; calculating common loop discriminator signal based on the individual loop discriminator signals of non-rejected K satellites; calculating a phase estimate and a Doppler frequency estimate at the i-th sample for each of the N satellites based on individual loop discriminator signal; calculating test statistic based on the phase estimate at the i-th sample and an observed phase for each of the N satellites; calculating index Sigma-Phi as standard deviation estimation of the test statistic for each of the N satellites; and outputting the index Sigma-Phi for each of the N satellites.

The invention discloses a global ionosphere modeling method and device based on Beidou single-frequency ionosphere weighted PPP, and belongs to the technical field of GNSS navigation positioning and atmosphere modeling. The method comprises the following steps: acquiring real-time precise orbit and clock error information of a Beidou satellite and an initial ionospheric delay correction value; a single-frequency ionosphere weighted precision single point positioning (SF-IW-PPP) observation equation is constructed; establishing a space-time correlation constraint model of the ionized layer delay error and determining a prior variance; carrying out combined calculation by taking the previous variance as a constraint to obtain an ionosphere delay residual error, and further obtaining the total delay of the high-precision inclined ionosphere; and finally generating a global ionosphere grid model. According to the invention, high-precision and real-time global ionosphere modeling is realized by only needing a low-cost single-frequency receiver and combining Beidou real-time enhancement service, the hardware threshold and data processing delay are remarkably reduced, and the method is suitable for the fields of public navigation, intelligent transportation, space weather monitoring and the like.

The invention provides a correlation constraint-based positioning method, computer equipment and a storage medium, and the method comprises the steps: constructing constraint information based on electron content information and positioning observation information, and the positioning observation information is obtained through the signal collection of a target satellite by a first single observation station; according to the constraint information, a Kalman filter is constrained to obtain a resolving parameter of the Kalman filter, and the Kalman filter is used for estimating the ionosphere delay parameter based on the correlation between the receiver differential code deviation and the ionosphere delay parameter; and determining a first target ionosphere delay parameter of the first single observation station based on the resolving parameter, the first target ionosphere delay parameter being used for positioning. And the Kalman filter is constrained by using the constructed constraint information, so that high-precision ionosphere delay parameters can be obtained when parameter estimation is carried out based on resolving parameters in the constrained Kalman filter, and the accuracy of a positioning result of positioning based on the ionosphere delay parameters is improved.

The invention provides a geometric random channel modeling method for satellite-ocean communication, and the method comprises the steps: S1, building a satellite-ocean communication simulation scene, and setting scene layout parameters; s2, initializing a satellite transmitting end orbit parameter, a receiving end position and a sea wave fluctuation parameter; s3, calculating large-scale parameters with consistent space; s4, calculating path loss, shadow fading, atmospheric absorption loss, ionospheric scintillation loss and rainfall loss according to the set receiving and transmitting end position information; s5, calculating a small-scale parameter according to angle extension in the generated large-scale parameter, initializing the position of a scattering cluster on the sea surface and the surface of the ship body, generating time delay and power of the cluster, and generating a channel coefficient by combining the loss calculated in the step S4; s6, updating the large-scale parameters and the small-scale parameters according to the motion of the transmitting and receiving end and the birth and extinguishment process of the cluster, and generating a new channel coefficient; and S7, calculating channel statistical characteristics according to the obtained channel coefficients.

The invention relates to a low ionized layer electron density inversion method based on occultation data. The method comprises the following steps: obtaining a secondary data file provided by an occultation item consisting of a plurality of low-orbit satellites, then carrying out TEC data preprocessing, extracting an F-layer component of an ionized layer in a TEC profile according to two-section linear fitting within a certain height interval range based on the preprocessed data, and obtaining an F-layer TEC component of the ionized layer after interpolation; calculating the TEC component of a low ionized layer according to the occultation observation value after interpolation and the TEC component of the F layer of the ionized layer; constructing an electron density inversion linear equation set based on an Abel weighting function according to the height distribution of the TEC component of the low ionized layer, and solving by adopting non-negative least squares to obtain an inverted electron density profile; and performing smooth fitting on the inverted electron density profile by using a Gaussian function to obtain an electron density profile product. By adopting the method, the inversion precision of the electron density of the low ionosphere can be improved.

The invention discloses a real-time GNSS satellite clock error estimation and analysis method based on different references, and relates to the technical field of satellite navigation positioning, and the method comprises the steps: data input, which is used for collecting needed real-time data; the data provides necessary basic information for a subsequent processing flow; the data processing is used for data processing of real-time clock error estimation; in the operation process of a GNSS, the accuracy of time is directly related to the satellite-ground distance, and then the positioning precision of a user is influenced. Therefore, ensuring time accuracy becomes a core element of GNSS design and operation. According to the real-time GNSS satellite clock error estimation and analysis method based on different references, real-time satellite clock error estimation is carried out by adopting epoch difference ionosphere-free combination observation values. The method can effectively eliminate ionosphere delay and integer ambiguity, significantly reduce the number of to-be-estimated parameters, and further improve the precision and efficiency of real-time clock error estimation.

The invention discloses a ground-ionosphere waveguide propagation simulation method and device based on a physical information neural network. The method comprises the following steps: defining a planar ground-ionosphere waveguide propagation model; acquiring a data set; a physical information neural network is trained through the data set, the network is used for simulating a bit function, and the bit function is a Hertz vector function about # imgabs0 #; when the physical information neural network is trained, physical information constraints and prediction errors are combined to construct a loss function to train the physical information neural network; and simulating ground-ionosphere waveguide propagation by using the planar ground-ionosphere waveguide propagation model and the trained physical information neural network. According to the method, the propagation result of the electromagnetic wave can be quickly and accurately obtained, the calculation complexity is effectively reduced, and the simulation efficiency is improved.

The invention discloses an ionospheric scintillation monitoring method based on a geodetic measurement receiver, which belongs to the technical field of satellite navigation, and comprises the following steps of: accurately eliminating non-scintillation errors by constructing an inter-station single-difference function model and an inter-station single-difference random model, extracting carrier phase residual errors by using a single epoch ambiguity fixing technology, and finally obtaining an ionospheric scintillation monitoring result. Establishing a reliable ionospheric scintillation monitoring index; according to the ionospheric scintillation monitoring method based on the geodetic measurement type receiver, high-precision real-time monitoring of ionospheric scintillation can be realized through a single-epoch ambiguity fixing technology under the condition of not depending on an external precision product, and reliable technical support is provided for space weather monitoring.

The invention discloses a positioning method, device and equipment based on ionosphere error correction and a medium, and the method comprises the steps: obtaining a real-time observation data set of a target CORS system, calculating the real-time ionosphere delay of each observation satellite in each reference station, and obtaining a real-time ionosphere delay set; calculating longitude and latitude correction parameters of each reference station through the real-time ionosphere delay set and longitude and latitude change rate reference coefficients pre-acquired by each reference station, and updating a pre-acquired original ionosphere correction model through the longitude and latitude correction parameters to obtain a new ionosphere correction model; and generating a corrected ionosphere error through the new ionosphere correction model, and correcting positioning data acquired by the target CORS system through the corrected ionosphere error. According to the method, the problem that the change rule of the ionosphere on the longitude and latitude is ignored in the traditional positioning technology can be solved, so that the accuracy of the CORS system satellite positioning is improved.

The invention provides an ionosphere three-dimensional electron density prediction method based on VTEC and oxygen-nitrogen ratio, and relates to the field of ionosphere electron density prediction, and the method comprises the steps: obtaining electron density data, global actual measurement VTEC data, oxygen-nitrogen ratio data, a geomagnetic activity index, and a solar radiation index; preprocessing the electron density data; interpolating global measured VTEC data and oxygen-nitrogen ratio data to the time and place of the preprocessed electron density data, and constructing a data set in combination with a geomagnetic activity index and a solar radiation index; training an LSTM model through the data set; acquiring real-time global measured VTEC data, oxygen-nitrogen ratio data, a geomagnetic activity index and a solar radiation index; and predicting the three-dimensional electron density of the global ionosphere through the acquired real-time data in combination with the trained LSTM model. According to the technical scheme, the global ionosphere three-dimensional electron density prediction precision can be effectively improved.

The invention discloses a comprehensive quality evaluation method and system for Beidou deformation monitoring observation data in a complex environment, and relates to the technical field of satellite navigation positioning, and the method comprises the steps: carrying out the comprehensive evaluation of an elevating angle, a signal-to-noise ratio, an epoch difference and an environment model of the observation data of a Beidou single station, and determining the initial quality of the data; based on the double-difference observation values among the multiple stations, the data quality evaluation precision is further improved by combining a double-difference ambiguity resolving method; according to the method, ionosphere delay, three-difference errors and inter-epoch difference errors are used for data fusion, a more accurate quality evaluation result is obtained, and finally, the data are optimized through comprehensive analysis based on the quality evaluation results of various types of data so as to ensure accurate positioning and deformation monitoring. The technology aims at improving the accuracy and reliability of data quality evaluation by comprehensively analyzing influence factors of Beidou observation data in a complex environment, and provides support for geological disaster monitoring, smart city construction and other high-precision application scenes.

The invention relates to the technical field of geodetic survey, in particular to a method for measuring the altitude based on GNSS frequency signals of a Chinese space station. Data such as GNSS satellite precision orbits, clock errors and earth rotation parameters are obtained from an IGS analysis center, RINEX format data are obtained through synchronous observation of a space station receiver and a ground station receiver, and the gravity potential of the space station at the observation moment is determined in combination with an EIGEN-6C4 gravity field model. Deriving a frequency observation value from the carrier phase observation value, establishing an observation equation in a double-frequency ionosphere elimination processing mode, resolving the gravity potential difference between the space station and the ground station, and finally obtaining the gravity potential and the altitude of the ground station. According to the invention, traditional leveling and gravity measurement can be replaced, the cost is obviously reduced, the environmental limitation is overcome, and cross-sea and cross-ocean elevation transmission and global elevation datum unification are supported.

The invention relates to the technical field of engineering monitoring, in particular to an unmanned aerial vehicle dynamic monitoring and early warning system and method for the whole subway tunnel excavation process, and the system comprises a virtual base station differential positioning module which is used for carrying out the unmanned aerial vehicle dynamic monitoring and early warning according to a carrier phase observation value transmitted by a ground active control target and a satellite signal observation value obtained by an airborne receiving end, and calculating ionosphere residual values and troposphere residual values between the current position of the unmanned aerial vehicle and the three adjacent ground active control targets. According to the method, the pixel gradient vector of the thermal inertia matrix is further calculated, the edge candidate points exceeding the threshold value are extracted, and the edge candidate points are closed in the gradient vertical direction to form the geometric region, so that the fuzzy thermal field anomaly is converted into the quantized graph with the definite physical boundary, and the hidden danger area and the internal gradient mean value are combined for calculation; the risk early warning level can be dynamically generated according to the tunnel design tolerance, so that recognition and hierarchical management and control of hidden geological disasters are realized on the premise of not contacting the ground.

The invention provides a total electron amount calculation and correction method for space-based detection ionosphere data. The method comprises the following steps: converting an earth-fixed coordinate system; calculating collision parameters; sorting collision parameters and phase arrays; performing phase calibration; and obscuration correction of the total electron amount. The method has the beneficial effects that according to the forward relation between the total electron content of the ionosphere and the additional time delay of radio wave propagation caused by the ionosphere, the accurate total electron content is obtained from the satellite-ground radio detection ionosphere data by using a calculation and correction method; the method is of great significance in the aspects of satellite positioning navigation radio wave correction, space environment monitoring and the like.

The invention discloses a hierarchical constraint ionosphere chromatography method based on hybrid interpolation and an adaptive relaxation factor. The method comprises the following steps: firstly, determining an inversion area, setting a virtual observation station in the inversion area, generating virtual STEC data of the virtual observation station through a hybrid interpolation method, and integrating actual STEC data and the virtual STEC data to obtain observation STEC data; calculating the intercept of each ray in the voxel according to the actual observation value in the inversion area and the coordinates of the virtual observation station, and constructing a coefficient matrix; obtaining an electron density initial value through an IRI-2016 model, and then iterating the electron density value by using the coefficient matrix and observation STEC data based on a multiplication algebraic reconstruction algorithm; adding constraints in the horizontal direction and applying constraints in the vertical direction; and taking the constrained electron density as an electron density initial value of a new round of iteration until the root-mean-square error is smaller than a preset threshold value.

The invention discloses a satellite-ground joint global average TEC model calculation method and system, and belongs to the technical field of ionosphere key parameter monitoring. The method comprises the following steps: obtaining occultation VTEC characteristic parameters calculated by an occultation event; obtaining a site VTEC characteristic parameter obtained by calculation of the sparse GNSS site; time matching is carried out on the VTEC characteristic parameters obtained through calculation of the occultation event and the VTEC characteristic parameters obtained through calculation of the sparse GNSS site, and VTEC characteristic parameters obtained through calculation in 30 minutes before and after the reference moment to be calculated are obtained; inputting the VTEC characteristic parameters calculated in 30 minutes before and after the reference moment to be calculated into a pre-trained multilayer neural network model, and outputting to obtain an equivalent global average TEC at the corresponding moment; errors of a single data source can be reduced by combining GNSS and occultation observation data, and the precision of the ionosphere model can be remarkably improved by combining the GNSS and occultation observation data.

An example method for Global Navigation Satellite System (GNSS)-based positioning performed by a GNSS device, the method may include receiving, from at least one satellite, a plurality of signals across a series of consecutive epochs and determining delta-ionosphere errors for the series of consecutive epochs, wherein each delta-ionosphere error indicates a change in ionospheric delay in carrier phase measurements taken on at consecutive epochs. The method may also include determining an ionosphere delay correction based on accumulating the delta-ionosphere errors and obtaining a position of the GNSS device based on the determined ionosphere delay correction.

The invention discloses an ionosphere activeness rapid determination method and device based on a double-difference observation model, and belongs to the technical field of navigation positioning and ionosphere monitoring. The method comprises the following steps: acquiring observation station GNSS satellite observation data, and constructing a double-difference carrier phase observation equation; performing data quality screening on the received observation station GNSS satellite observation data; estimating an integer ambiguity parameter and a troposphere parameter according to the screened GNSS satellite observation data and the constructed double-difference carrier observation equation; according to the estimation results of the integer ambiguity parameter and the troposphere parameter, resolving to obtain an ionosphere residual error; and carrying out compression quantization on the ionized layer residual error information obtained by calculation to obtain the active degree of the ionized layer in the region. According to the invention, the feasibility and reliability of high-precision positioning of the user through the CORS service during the active period of the ionosphere are guaranteed.

The invention discloses an ionosphere delay correction method, device and system for a Beidou NTCM-G model, and the method comprises the steps: obtaining a BDGIM broadcast ionosphere parameter of a BDS-3 system, constructing a mapping relation between the BDGIM parameter and a GIAzpar parameter needed by the NTCM-G model through employing a long short-term memory network LSTM, and driving the NTCM-G model to generate an ionosphere delay correction number. By adopting the technical scheme of the invention, the problem that the NTCM-G empirical model cannot be directly suitable for the Beidou broadcast BDGIM parameter is solved.

The invention relates to the technical field of positioning. The deep learning assisted satellite positioning rapid resolving method comprises the following steps: acquiring and preprocessing satellite observation data, local environment characteristic data and receiver state data to generate multi-source fusion input data; performing dynamic error prediction processing through a locally deployed deep learning model to generate a positioning error correction amount; the positioning error correction is fused to a precise single-point positioning calculation process for iterative optimization processing, and positioning coordinates meeting the requirement for regional surveying and mapping precision are generated; a local historical observation data set is combined to trigger an online learning mechanism to perform model parameter updating processing, and a self-adaptive optimization model is generated so as to dynamically adapt to ionosphere / troposphere disturbance in a local complex environment, improve the resolving convergence efficiency in a multi-path effect scene and improve the real-time performance of the multi-path effect scene. And through multi-source data coupling modeling, the technical effects of error correction and accurate adaptation of a real scene are realized.

The invention discloses a foundation space ionosphere and troposphere integrated joint detection method and device, and belongs to the technical field of satellite navigation, and the method comprises the steps: detecting the vertical total electron content of an ionosphere: extracting the inclined total electron content of the ionosphere at an ionosphere puncture point, and converting the inclined total electron content into the vertical total electron content of the ionosphere; detecting a foundation Beidou ionosphere disturbance index; and detecting an ionosphere phase scintillation index, a troposphere zenith total delay, a troposphere precipitable amount and an ionosphere amplitude scintillation index, and outputting ground-based Beidou space ionosphere and troposphere integrated joint detection parameters. The method effectively improves the reliability, robustness and meteorological perception capability of a navigation positioning system in a complex atmospheric environment, and is especially suitable for special environmental conditions such as severe convection weather, typhoon landing, violent disturbance of an ionized layer and the like.

The invention designs a short-wave over-the-horizon communication comprehensive simulation analysis method for the problems of cascade and comprehensive analysis of antenna radiation characteristics and radio wave propagation environments. The method comprises the steps of performing radiation characteristic simulation on a short-wave antenna, constructing an ionosphere model, simulating a propagation path of a short-wave signal in an ionosphere by adopting a ray tracing technology, integrating antenna characteristics, an ionosphere environment and a propagation mechanism, and calculating falling area energy distribution of the signal. And comprehensive evaluation and analysis of the reachable range of short-wave beyond-visual-range communication are realized. According to the method, the signal propagation path and fading characteristics of the signal from the radiation source to the receiving tail end can be comprehensively mastered, and guidance and basis are provided for antenna selection, erection, coverage area analysis and communication quality estimation in practical engineering application of short-wave beyond visual range communication.