281 results about "Ionosphere" patented technology

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.

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.

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 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.

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 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 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.

The invention discloses a global ionosphere modeling method based on a spherical radial basis function, and the method comprises the steps: laying Reuter grid points at an interval of 10 degrees on an ionosphere thin layer, and converting the Reuter grid points into a daily fixed geomagnetic coordinate system for modeling. Cycle slip monitoring and abnormal value identification and elimination are carried out on obtained satellite observation data (O file), then a precise satellite orbit position is obtained through interpolation in combination with a precise ephemeris file (SP3), hardware deviation is corrected through differential code deviation (DCB file), an AbBPoisson spherical surface radial basis function is adopted and converted into a 15-order truncated AbBPoisson spherical surface radial basis function, and finally, a precise satellite orbit position is obtained. The bandwidth is set to be 0.25, L2 regularization optimization is used, parameters of a radial basis function are solved through a least square method, and therefore global ionosphere modeling is carried out. Different from a traditional spherical harmonic function method, the abbeposon spherical radial basis function controls the control range of a radial base point by adjusting the bandwidth, higher precision can be provided in a data-intensive area, and the adaptability is higher.

The invention provides a frequency point GNSS observation value determination method and device, and a storage medium. The method comprises the following steps: determining a satellite-ground distance difference value between a first frequency point of a known observation value and a second frequency point of an unknown observation value; according to the satellite-to-earth distance difference value between the first frequency point and the second frequency point, the observation value of the first frequency point, the state space representation correction number of the satellite and the center frequencies of the first frequency point and the second frequency point, the pseudo-range observation value of the second frequency point and / or the phase observation value of the second frequency point are / is determined, on one hand, the satellite-to-earth distance difference between different frequency points is fully considered; on the one hand, the precision of pseudo-range observation and / or phase observation values of the recovered frequency points is higher, the requirements for the first frequency point and the second frequency point are reduced, the universality of the method is improved, on the other hand, high-precision ionized layer delay in the SSR correction number and pseudo-range hardware delay and phase hardware delay of a satellite end are effectively utilized for error compensation, and the error compensation accuracy is improved. The implementation difficulty is reduced, and the feasibility of the method is improved.

The invention discloses a receiver high-precision positioning method and system based on an RANSAC algorithm, and the method comprises the steps: constructing an ionosphere-free combination PPP observation equation based on all satellites observed by a current epoch, selecting a preset number of satellites from the ionosphere-free combination PPP observation equation to form a satellite subset, and when a preset geometric distribution condition is satisfied, carrying out the positioning of the satellite subset, calculating a temporary state solution by using a corresponding observation equation; calculating observation residual errors corresponding to pseudo-ranges and carrier phases of other satellites except the subset according to the temporary state solution; introducing an RANSAC (Random Sample Consensus) algorithm, and identifying a group of interior point satellite sets with the strongest observation consistency through multi-round random sampling and residual consistency judgment; and constructing a complete PPP observation equation based on the interior point satellite set to perform high-precision positioning of the receiver. According to the method, the RANSAC algorithm is integrated in the PPP resolving process to realize dynamic identification and elimination of gross errors, so that the positioning precision and stability are remarkably improved, and high-precision positioning under the urban complex environment is further realized.

Disclosed in the present invention are a method and apparatus for constructing an ionospheric mapping function model, a device, and a storage medium. The method comprises: acquiring historical slant total electron content data of an ionosphere; in the historical slant total electron content data, taking, as a corresponding historical vertical total electron content value, a historical slant total electron content value corresponding to a satellite elevation angle greater than a preset angle, and calculating a corresponding historical mapping function value; acquiring a corresponding Modified Julian Day, local time, satellite elevation angle and azimuth angle of an ionospheric pierce point; and on the basis of the historical mapping function value, the Modified Julian Day, the local time, the satellite elevation angle, and the azimuth angle of the ionospheric pierce point, training a preset LSTM model by taking the Modified Julian Day, the local time, the satellite elevation angle and the azimuth angle of the ionospheric pierce point as inputs and taking the historical mapping function value as an output, so as to obtain an ionospheric mapping function model. The present invention can improve the accuracy of ionospheric mapping functions.

The invention discloses a wide-lane ambiguity fixing method and device, a computer storage medium and a terminal, according to the embodiment of the invention, a high-precision double-difference ionized layer estimation value is obtained through joint calculation based on a multi-baseline ionized layer adjustment value and an ionized layer interpolation value, and the defect that a wide-lane observation equation analysis method is not easy to operate under the conditions of an ionized layer active area and a long baseline is effectively overcome. The delay of the ionized layer is obviously increased; when the difference between the ionosphere adjustment value and the ionosphere interpolation value is smaller than or equal to a preset threshold value, a pseudo observation equation established according to the ionosphere estimation value is fused into a Kalman filtering equation, measurement updating is carried out on a wide-lane ambiguity floating point solution, and under the condition that the efficiency advantage of direct resolving of a wide-lane observation equation analytical method is reserved, the wide-lane ambiguity floating point solution is obtained. The ambiguity floating point solution is constrained through the pseudo observation equation, the influence of the ionosphere on ambiguity fixation is effectively inhibited, and the reliability and resolving efficiency of ambiguity fixation are improved.

The invention relates to the technical field of satellite navigation meteorological remote sensing, and discloses a water vapor ionized layer snow depth integrated detection method and system. The method comprises the steps that direct and reflected signals of a Beidou satellite are received through fusion antenna array differentiation, carrier phase and pseudo-range observation values are obtained through carrier tracking loop synchronous demodulation, the total atmospheric rainfall amount and the total ionosphere electron content are extracted through a troposphere and ionosphere combined calculation algorithm, the snow depth is inverted through reflection path geometric difference, and the snow depth is calculated. And carrying out space-time synchronization constraint processing on the extended Kalman filter to realize multi-parameter integrated detection. The problems of low efficiency, insufficient precision and lack of cooperative processing caused by independent observation of water vapor, ionized layer and accumulated snow parameters in the prior art are solved, and the observation efficiency and the measurement precision of multi-parameter integrated detection are improved.

Described herein are solutions for real-time precise ionosphere corrections. An integrate and dump (I&D) server can receive a Networked Transport of Radio Technical Commission For Maritime Services (RTCM) via Internet Protocol (NTRIP) bit stream of a spherical harmonic model for precise point positioning (PPP). The model can be a vertical total electron content (VTEC) spherical harmonic expansion model and / or can include a set of ionosphere coefficients for correcting errors in satellite signals due to ionospheric conditions. The I&D server can generate a file of ionosphere coefficients, according to a refresh timer, and can send the file to a content delivery network (CDN) for distribution to user equipment (UEs) upon request. These and many other features and examples are described herein.

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 relates to a Beidou No.3 precise point positioning method based on double-frequency combination and analysis center product optimization, and belongs to the technical field of precise point positioning, and the method comprises the following steps: S1, constructing three ionosphere-free combinations B1C-B2a, B1C-B3I and B1I-B3I by using four frequency point signals B1C, B2a, B1I and B3I; s2, through comparing a root mean square value RMS of the positioning deviation, the final positioning precision and the convergence time, respectively comparing and evaluating precision point positioning PPP performance of BDS-3 in different frequency combinations under precision products issued by a plurality of analysis centers; and S3, finding out the ionosphere-free combination and analysis center product with the optimal PPP calculation performance.

The invention discloses a Beidou / GNSS differential service fault analysis method and system, and relates to satellite positioning. The method comprises the following steps: carrying out pseudo-range single-point positioning on Beidou / GNSS observation data to obtain a general position; reporting the approximate position to a Beidou / GNSS differential service platform to request Beidou / GNSS differential data of the current position; carrying out observation data quality analysis on the Beidou / GNSS observation data, wherein observation data quality analysis indexes comprise an integrity rate, a satellite number, a carrier-to-noise ratio, multiple paths, pseudo-range noise, carrier noise, a cycle slip ratio and a PDOP value; differential data quality analysis is carried out on the Beidou / GNSS differential data; rTK calculation is carried out on the Beidou / GNSS observation data and the Beidou / GNSS differential data; calculating a troposphere residual error and an ionosphere residual error; and performing fault detection according to the data. Aiming at the problem that Beidou / GNSS differential service fault positioning precision is low in the prior art, accurate identification and positioning of differential service faults are realized.

The invention discloses an ionosphere real-time monitoring method, device and system, and a storage medium, and the method comprises the steps: configuring a multi-frequency GNSS receiver on a low-orbit satellite, obtaining a navigation satellite signal in real time, rapidly calculating the total electron content of an oblique ionosphere through the dual-frequency carrier phase difference, and calculating the observation confidence based on a Kalman filtering model; further, the satellite end carries out anomaly monitoring through a dynamic threshold value, and respectively generates and downloads a compressed observation flow containing a quality index and original carrier phase observation data fragments in a time window before and after the anomaly is triggered; and the ground station performs weighted fusion on the compressed observation flow according to the confidence coefficient to generate high-precision TEC data. According to the technical scheme, high-precision TEC data products for ionosphere research and abnormal original data products for deep diagnosis are finally produced through on-satellite intelligent processing and selective downloading, communication bandwidth occupation can be remarkably reduced, and observation real-time performance and data reliability are improved.

The invention provides a ground GNSS differential data correction method and device, and the method comprises the steps: obtaining a pseudo range and a carrier phase, calculating a whole cycle jump value of the carrier phase through employing an M-W combination function and an ionosphere delay change rate, and correcting a carrier phase value through employing the calculated whole cycle jump value of the carrier phase. The influence of station-satellite geometric distance is eliminated, the influence of ionosphere change is considered, and the method is suitable for cycle slip detection in a dynamic environment; according to the method, a self-adaptive threshold model is constructed on the basis of Turbo Edit cycle slip detection in a flight dynamic observation environment, cycle slip misjudgment at a low satellite elevation angle is reduced, and the influence of too low sampling rate on GF combined cycle slip detection performance is weakened to a certain extent; and a technical guarantee is provided for applying the GNSS differential data to the flight test.

The application discloses a link time delay calibration result uncertainty modeling evaluation method and device and a medium, and relates to the technical field of satellite navigation high-precision timing. The method comprises the following steps: selecting a time laboratory station and specifying a reference station, constructing a time transfer link, solving the receiver clock error based on an ionosphere-free combination model, and inversely deducing the hardware time delay of a station to be calibrated through clock error difference; the distribution is discriminated through time delay residual statistical characteristics, a model is matched to calculate a type B uncertainty, and an empirical type B uncertainty is obtained through weighted summation; a standard deviation of a calibration time sequence is calculated to obtain a type A standard uncertainty estimation value; a synthetic expanded uncertainty is calculated by fusing the empirical type B uncertainty and the type A standard uncertainty estimation value, the calibration result reliability is evaluated, and uncertainty quantitative analysis of time delay calibration is realized. The application provides a clear and reliable evaluation framework for link calibration error, and significantly improves the reliability and interpretability of the calibration result.

This invention discloses a projection function modeling method and system for geomagnetic soft partitioning and height perturbation correction. The method includes: acquiring puncture point observation samples; converting them to geomagnetic latitude and constructing periodic features; calculating the weights of low, middle, and high latitude sub-models using a soft partitioning mechanism with a fixed center and continuous weights; establishing the effective height function of each sub-model and weighted fusion to obtain the basic effective height; calculating the basic explicit projection function; inputting features into the data to drive the model, outputting the effective height correction, residual, and uncertainty; mapping the correction to an interpretable correction term based on sensitivity and combining it with the residual; and adaptively outputting the complete result or reverting to the basic model based on the uncertainty. This invention combines physical interpretability and data-driven capability, improving the accuracy, regional adaptability, and robustness of the projection function, and can be used for ionospheric delay correction in satellite navigation.