86 results about "Clock error" patented technology

The invention discloses an underwater navigation positioning method and system based on supercontinuum laser intensity correlation. The system comprises a master control system, a transmitting end underwater base station and a receiving end underwater carrier. The method comprises the following steps: firstly, a main control system generates a super-continuum laser signal with pseudo-random code information, the super-continuum laser signal is separated into optical signals of different wavelength channels through a light splitting module, and the optical signals are respectively sent to underwater base stations uniquely corresponding to the wavelength channels and are emitted; then the underwater carrier receives optical signals from a plurality of base stations, identifies a signal source base station according to wavelength identification, performs correlation operation with a locally copied pseudo-random code sequence, determines signal arrival time TOA and calculates a pseudo-range; and finally, resolving the three-dimensional coordinate and local clock error result of the underwater carrier by combining the pseudo-ranges, absolute positions and transmission delays of the underwater carrier and the at least four base stations. According to the invention, high-precision and high-robustness absolute positioning of the underwater environment is realized, and the reliability of long-time positioning and navigation of the underwater robot is enhanced.

The invention discloses a self-adaptive control system for Qbv and clock synchronization cooperative adjustment in a TSN, which comprises a dynamic gating adjustment module and a stability guarantee mechanism module, and realizes closed-loop cooperative control of Qbv gating scheduling and gPTP clock synchronization in the TSN by constructing a dynamic gating adjustment system and a stability guarantee mechanism. According to the method, the problem of gating trigger time offset caused by Qbv static scheduling and gPTP clock synchronous decoupling in the TSN is solved, the scheduling window is corrected in real time through dynamic feedback clock errors, and the influence of mu s level deviation on deterministic transmission is eliminated.

The invention discloses a satellite-ground enhanced signal conversion method and a satellite-ground enhanced signal conversion model based on PPP-RTK, which are used for solving the problems that conventional RTK in a ground-free network area fails, and satellite-based PPP-RTK depends on a special terminal and is slow in convergence. Generating an RTCM-OSR correction number by analyzing the SSR correction number, fusing the orbital clock correction, ionosphere and troposphere correction and performing weighted interpolation; the ambiguity is solved in combination with the observation value of the base station, dual-path verification and weighted fusion are carried out in combination with M-W and LAMBDA algorithms, and the wide lane ambiguity fixing reliability is improved; and when the ground-based signal is interrupted for more than 1 second, inheriting and maintaining Kalman filtering continuity by using the state vector and generating a switching identifier. The model integrates a signal processing module, a correction generation module, an ambiguity verification module and a switching control module, so that a conventional RTK terminal obtains centimeter-level positioning (level 2.3 cm and elevation 4.1 cm) without a public network, the interruption recovery is less than or equal to 1.5 seconds, and the scene upgrading cost of power inspection, power transmission monitoring, wind power plant monitoring and the like is reduced.

The invention relates to the technical field of satellite navigation and time synchronization, in particular to a satellite clock error time sequence prediction method and system based on deep reinforcement learning. According to the method, a noise gating convolution module is adopted to extract features, and the features comprise a data path, a gating path and a noise sensing path; the noise sensing path is used for extracting local frequency jitter of the historical clock error sequence and performing weighted statistics to obtain background noise intensity; generating a self-adaptive gating coefficient by combining the gating path with the background noise intensity; and the data path is used for performing expansion convolution processing on the historical clock error sequence to obtain convolution features, and multiplying the convolution features by the adaptive gating coefficient to obtain effective features as output of the noise gating convolution module. According to the invention, the background noise intensity of satellite clock error data can be sensed in real time; by dynamically adjusting the gating threshold, false features can be filtered in a strong noise environment, tiny clock difference features can be reserved in a low noise environment, and the anti-noise capability in a non-stationary environment is improved.

The invention relates to the technical field of electric power systems, and discloses an electric power measurement data management system and method based on an intelligent terminal and an RPA, and the method comprises the steps: obtaining clock synchronization topological structure data, an original timestamp sequence and measurement data of intelligent terminals of a whole network; extracting a clock synchronization dependency relationship of the terminal based on a graph structure analysis algorithm, and generating a directed dependency graph; inputting the timestamp sequence and the dependency graph into a causal discovery algorithm, and identifying a clock error propagation path and causal intensity; constructing a graph neural network, taking an intervention effect prediction matrix as node feature input, and predicting a whole network cascade correction effect by minimizing a weighted square error between a corrected inter-node timestamp difference value and a reference difference value; according to the invention, systematic elimination of clock drift cascade influence in a power system is realized, and time sequence consistency of whole network measurement data is ensured.

The application discloses a precise satellite navigation data processing method, device and equipment and a storage medium. The method comprises the following steps: acquiring reference station data corresponding to a plurality of reference stations in a target test area, wherein the target test area is pre-set; calling a preset carrier phase observation model to process the reference station data corresponding to the plurality of reference stations respectively to obtain phase bias data corresponding to the plurality of reference stations, wherein the phase bias data is used for representing phase delay error, satellite orbit error and satellite clock error; and performing fusion processing on the phase bias data to obtain target area phase bias. The application calculates the phase bias data by using the reference stations in a specific area, so that the satellite ephemeris error is fused in the phase bias data of the satellite, the phase bias data can resist the error from the satellite orbit in the use process of a PPP-RTK server, and the positioning accuracy of the PPP-RTK server is improved.

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.

The application relates to the cross-technology field of satellite navigation and wireless positioning technology, in particular to a real-time dynamic high-precision positioning method based on tight coupling of Beidou and UWB, solves the problem that error coupling in Beidou and UWB observation data is not fully solved in the prior art, and in particular under a high-speed dynamic scene, the mutual influence of Beidou receiver clock error, UWB base station clock error and multipath error leads to continuous accumulation of errors, and the positioning precision is significantly reduced. A real-time dynamic high-precision positioning method based on tight coupling of Beidou and UWB comprises a data preprocessing and space-time alignment module, an error joint estimation model, a rapid ambiguity fixing algorithm, a geometric constraint enhanced positioning engine module and a dynamic coordinate conversion and fusion output module. The method disclosed in the application adopts a highly integrated multi-model Kalman filter architecture to realize synchronous and accurate compensation of Beidou receiver clock error, UWB base station time delay and multipath effect.

The invention discloses a satellite phase deviation resolving method considering signal distortion deviation, and relates to the technical field of satellite navigation and positioning. The method comprises the following steps: selecting a GNSS base station network to obtain double-frequency observation data; classifying receiver types and unifying same-kind signal distortion delay; signal distortion modeling is introduced based on an MW combined observation equation, and wide-lane satellite phase deviation is obtained through adjustment and ambiguity fixed solution in combination with a precise orbit and clock correction; and based on the ionosphere-free combination observation equation, combining the solved wide-lane deviation, and obtaining the narrow-lane satellite phase deviation and the ionosphere-free combination signal distortion deviation through adjustment and ambiguity fixation. According to whether the receiver type is calibrated or not, the signal distortion deviation is directly applied or estimated in real time, more comprehensive error compensation is achieved in an observation equation, and the positioning precision and the convergence speed are improved. According to the method, synchronous separation and accurate estimation of the wide-lane and narrow-lane phase deviation and the signal distortion deviation of the satellite are realized, and the estimation accuracy and physical consistency of the phase deviation are effectively improved.

The present application relates to the field of geodetic surveying, and particularly relates to a method for determining altitude based on GNSS frequency signals of Chinese space station. Through obtaining data such as GNSS satellite precise orbit, clock error and earth rotation parameters from IGS analysis center, RINEX format data is obtained by using synchronous observation of space station and ground station receiver, and the gravity potential of space station observation moment is determined in combination with EIGEN-6C4 gravity field model. The frequency observation value is derived from the carrier phase observation value, the observation equation is established in the dual-frequency ionosphere elimination processing mode, the gravity potential difference between space station and ground station is solved, and finally the gravity potential and altitude of ground station are obtained. The present application can replace the traditional leveling and gravity measurement, significantly reduce the cost, overcome the environmental restriction, and support the cross-sea and cross-ocean height transfer and the global height datum unification.

The application discloses an intelligent radio signal velocity measurement method and system, and belongs to the radio processing field.The method comprises radio signal preprocessing, cooperative situation state updating, sampling point distortion kernel design and radio velocity measurement.A cooperative situation vector is defined, clock error design is based on, the cumulative influence of clock bias with time is quantified, systematic errors are eliminated from the source, the basic precision of frequency offset calculation is improved, an acceleration feedback correction state transition matrix is introduced, dynamic tracking capability is improved, radio signal velocity measurement precision is further improved, a customized distortion kernel design is used to accurately describe dynamic non-uniform distortion and improve distortion compensation precision, a focused frequency band is determined based on a frequency offset trajectory, real-time performance is improved, an error feedback iteration velocity measurement mechanism is designed to accelerate convergence, enhance noise resistance and further improve radio signal velocity measurement reliability.

The application discloses a low-orbit satellite integrity identification determination method and system and electronic equipment, and relates to the technical field of satellite information solution. The method comprises the following steps: acquiring ephemeris data of multiple ephemerides in a preset time period; the ephemeris data comprises observation data and error data of a ground station; the observation data comprises pseudo-range observation values of a target low-orbit satellite, clock errors of the target low-orbit satellite, receiver clock errors and coordinates of the ground station; the error data comprises ionospheric delay errors, tropospheric delay errors, relativistic effect errors and earth rotation errors; the instantaneous user range error of the target low-orbit satellite in each ephemeris is calculated according to the ephemeris data of the ephemeris; the user range error accuracy of the target low-orbit satellite in the preset time period is calculated according to the instantaneous user range errors of all ephemerides in the preset time period, so that the integrity identification of the target low-orbit satellite is determined. The application improves the accuracy and reliability of the integrity identification determination.

This invention discloses a code-assisted baud rate sampling clock recovery method and system, applicable to the field of optical fiber communication technology. The method includes the following steps: performing matched filtering on the received signal; using the M&M algorithm to complete primary clock recovery on data from an oscilloscope to obtain baud rate sampling data; performing equalization processing on the baud rate sampling data; using a belief propagation algorithm to decode the equalized baud rate sampling data and output reliability estimation information; modulating the reliability estimation information of each baud rate sampling data into a PAM4 auxiliary symbol according to the PAM4 mapping rule; using the PAM4 auxiliary symbol to replace the decision symbol in the M&M algorithm to re-estimate the clock error and perform high-precision clock recovery. This invention, by combining primary and auxiliary clock recovery stages, significantly reduces the bit error rate and provides more stable clock synchronization in high data rate scenarios.

The application discloses a long-acting ephemeris generation method and device for intelligent terminal accelerated positioning, and belongs to the technical field of satellite navigation and positioning. The method comprises the following steps: a server receives multi-source GNSS observation data, optimizes a reference station, and solves historical precise orbit and clock error; a dynamic model is used for long-acting ephemeris basic prediction, a historical prediction error vector is constructed per epoch, and a historical error input window is stacked; time domain trend characteristics and frequency domain periodicity characteristics of the historical error input window are extracted through a time-frequency domain attention mechanism; future error is fused and compensated to the basic prediction value to generate high-precision long-acting ephemeris parameters; the long-acting ephemeris parameters are compressed, encoded, integrity checked and adaptively broadcast; after the terminal receives and analyzes the long-acting ephemeris parameters, satellite position and satellite clock error are calculated, and accelerated positioning is completed. The application can improve the prediction accuracy of long-acting ephemeris, and improve the positioning availability in a weak network or no network scene.

The invention relates to the technical field of satellite navigation, and provides a satellite space-time reference estimation method and device, equipment and a storage medium. The method comprises the steps that a distributed architecture is adopted, each first satellite independently completes operations such as orbit updating and clock error estimation on the satellite on the satellite based on satellite-borne observation data, ground auxiliary data and other multi-source observation information collected by the first satellite on a first observation epoch in combination with space-time reference estimation data of a second satellite on a second observation epoch, and the satellite-borne observation data and the ground auxiliary data are acquired by the first satellite on the basis of the multi-source observation information; the high-precision satellite space-time reference is automatically established and maintained on a satellite, the autonomous operation capability and the comprehensive operation and maintenance level of a satellite network are improved, the operation and maintenance cost is reduced, and high-precision and high-reliability space-time reference information support is provided for landing implementation of services such as network communication and low-orbit enhancement in the future.

The invention discloses a method and device for a system to automatically calibrate a court electric energy meter clock, a system terminal and a metering box, and relates to the technical field of clock calibration, and the method comprises the steps: querying a time synchronization information group recorded by an electric energy meter of a court; calculating a clock error of the electric energy meter at each temperature point according to the time synchronization information group; and carrying out clock calibration on the electric energy meter based on the clock error. Through system time acquisition and logic of calculating a target clock error according to the temperature, real clock skew at different temperatures can be accurately matched, the problems of excessive calibration at a low temperature and insufficient calibration at a high temperature are avoided, the accuracy of an electric energy meter clock can be effectively improved, and error accumulation caused by temperature change is reduced. And through systematic data processing and analysis, the calibration process is further optimized, and the overall efficiency is improved.

The invention provides a multi-dimensional collaborative anomaly detection method and device after calculation of a satellite integer clock. The method comprises the following steps: acquiring distribution characteristics of observation residual errors after calculation of the satellite integer clock; determining the stability degree of the UPD along with the time change and the whole cycle ambiguity fixed rate change condition; constructing a detection model for detecting the abnormal deviation of the satellite clock error based on the distribution characteristics of the observation residual error, the stability degree and the change condition of the integer ambiguity fixed rate; carrying out PPP floating point solution based on an integer clock product of the satellite, carrying out gross error detection, and counting the number of times that each satellite is marked as gross error; on the basis of the detection model and the number of times that each satellite is marked as gross error, constructing a PPP expansion model considering clock error deviation parameters; and performing inter-satellite single difference and integer ambiguity fixed solution on the UPD product to obtain a PPP fixed solution, and detecting a satellite integer clock with fixed abnormality. According to the invention, the problem of insufficient robustness caused by only dependence on a single observation station in the existing satellite integer clock anomaly detection method can be solved.

The invention relates to the technical field of satellite time service, in particular to an electric power communication clock verification method, system and device based on Beidou B2b and a medium. A main clock obtains local time according to time zone setting, receives Beidou signals and obtains observation data, broadcast ephemeris and Beidou signal correction information based on the received Beidou signals; extracting a satellite orbit and a clock error correction number based on the Beidou signal correction information, correcting a broadcast ephemeris based on the extracted clock error correction number, obtaining a precise satellite orbit and a clock error, and performing data preprocessing on observation data; constructing an observation equation based on the preprocessed observation data, the precise satellite orbit and the clock error, and obtaining the deviation between the local time of the master clock and the standard time through a parameter estimation method; and based on the obtained deviation between the local time of the master clock and the standard time, the master clock sends the time code to the power system equipment, and the power equipment performs time verification according to the time code, so that the time consistency and the operation stability of the power communication system are improved.

The invention provides a Beidou multi-frequency positioning method and device, electronic equipment and a storage medium. The method comprises the following steps: S1, collecting observation data and satellite ephemeris data of two target frequency points of a Beidou satellite; s2, based on the satellite ephemeris data, modeling the Beidou satellite clock correction by adopting a quadratic polynomial to obtain a clock correction modeling error, and taking the clock correction modeling error as a constraint term of an original design matrix to generate a design matrix with clock correction constraint; s3, constructing an observation vector based on the observation data, and substituting the design matrix with the clock error constraint and the observation vector into a TLS resolving model for resolving to obtain a positioning parameter initial value and a corresponding resolving residual error; s4, fitting a mapping relation between the residual error and the noise intensity based on the resolving residual error, generating a weight matrix, and performing weighted updating on the TLS resolving model by using the weight matrix to obtain an updated TLS resolving model; according to the embodiment of the invention, effective constraint on the design matrix error can be realized, and the clock error modeling precision is improved.

The invention discloses a satellite clock error forecasting method based on a metabolism GM and BP neural network, and belongs to the technical field of satellite navigation. The method comprises the following steps: firstly, acquiring satellite clock error historical data, constructing and using a metabolism GM (1, 1) model to carry out preliminary clock error prediction, secondly, calculating a residual error between a preliminary prediction result and a true value, constructing a prediction residual error sequence, then taking the prediction residual error sequence as a training sample, training a BP neural network model, and finally, carrying out clock error prediction. And finally, when a clock error at a future moment is predicted, a clock error value is predicted by utilizing a metabolism GM (1, 1) model, a residual error compensation value is predicted by utilizing the trained BP neural network, and the two values are superposed to obtain a final high-precision combined prediction result. According to the method, the advantages of the two models are combined, systematic errors of a single model are effectively compensated, and the accuracy and long-term stability of satellite clock error forecasting are remarkably improved.

The invention relates to a satellite clock estimation joint weighting method based on mutual information and clustering, comprising the following steps: S1, reading original observation data of a monitoring station covering a service area, extracting elevation angle and signal-to-noise ratio parameters for each satellite, and constructing the elevation angle and signal-to-noise ratio parameters into two-dimensional feature matrix data; s2, classifying the two-dimensional feature matrix data by adopting K-means clustering to obtain cluster distribution; s3, respectively calculating first mutual information between the elevation angle and the cluster as a first weight and calculating second mutual information between the signal-to-noise ratio and the cluster as a second weight by using a mutual information method; s4, substituting the first weight and the second weight into a random model to form a joint weighting model; s5, calculating a dual-frequency pseudo-range noise variance and a carrier phase noise variance by using a joint weighting model; and S6, performing posterior quality control on the real-time satellite clock error Kalman filtering, performing Kalman filtering posterior residual detection, finding out an abnormal value, and removing the abnormal value.

The application discloses a BDS satellite clock error prediction method of a GM-Elman model and belongs to the technical field of satellite navigation. The method comprises the following steps: S1, obtaining a raw time sequence of precise post-event clock errors of BDS satellites and clock error measured values corresponding to time instants of the sequence; S2, performing power function transformation on a GM(1, 1) prediction model, and obtaining clock error prediction values of future time instants through the transformed GM(1, 1) prediction model; S3, calculating residual error values and constructing a residual error sequence; S4, inputting the residual error sequence into an Elman neural network for training, and finally obtaining residual error prediction values of the future time instants; and S5, linearly adding the clock error prediction values of the future time instants and the residual error prediction values of the future time instants to obtain final clock error prediction values of the BDS satellites. By using the method, the BDS satellite clock error prediction precision and stability are effectively improved, the residual error compensation further reduces errors, and the method is suitable for BDS satellites of different orbits and on-board clocks.

The invention discloses a very simple clock error detection method and device under a flexible oversampling factor, equipment, a storage medium and a product, and relates to the technical field of clock error detection, and the method comprises the steps: carrying out the complex number symbol processing of a received signal, and obtaining a symbol result; and querying a preset clock error mapping table based on the symbol result to obtain a clock error. According to the method, the received signal is subjected to complex number symbol processing to obtain the symbol result, and the preset clock error mapping table is queried based on the symbol result to obtain the clock error. Compared with an existing digital timing error detector with too high calculation complexity, the digital timing error detector has the advantages that multiplication in existing clock error detection can be eliminated, and power consumption and calculation resources are reduced.

The embodiment of the invention provides a satellite clock error data anomaly detection method and device, a server and a storage medium. The method comprises the following steps: acquiring related data of station satellite team formation; wherein the station-satellite team comprises monitoring stations and satellites; the related data comprises first data and second data; according to the first data and the theoretical data, abnormal counts of the station satellite team in different epochs are determined; wherein the theoretical data is an expected value calculated according to the second data; the second data comprises satellite clock error data; if it is determined that under the current epoch, the ratio of the number of the first satellite teams with the abnormal count meeting the first preset condition to the total number of the first satellite teams is larger than or equal to a preset first threshold value, satellite clock error data of first satellites in the first satellite teams under the current epoch is determined to be first type abnormal data. According to the method, the abnormity in the satellite clock error data can be comprehensively detected, so that the detection accuracy of the abnormal data of the satellite clock error data is improved.

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 discloses a global positioning system spoofing detection and positioning recovery method based on pseudo-range residual error, and comprises the following steps: S1, initializing system parameters, determining initial position information of a receiver and clock error of the receiver, and acquiring latest navigation ephemeris information; S2, using measurement information of an inertial sensor to perform prior estimation on the current position of the receiver; S3, acquiring global positioning system measurement information, and calibrating satellite pseudo-range information; S4, acquiring an estimated value of the satellite pseudo-range by using the navigation ephemeris information and the estimated position of the receiver; S5, using the residual error of the satellite pseudo-range measurement value and the estimated value to judge whether the currently received satellite data is spoofing data; and S6, using real satellite information and measurement information of the inertial sensor to realize positioning recovery. The method can detect GPS spoofing behavior, fully utilize effective information in GPS data, and comprehensively optimize positioning error.

The invention relates to a fast convergence satellite clock error resolving method under regional station distribution, which belongs to the field of satellite navigation, and comprises the following steps: in a regional monitoring network, constructing a normal equation by using an ionosphere-free combination pseudo range and a carrier phase by using a known precise orbit and a station coordinate; in the Kalman filtering stage, covariance forecasting is carried out on satellite clock correction, receiver clock correction and troposphere delay, cycle slip detection and covariance forecasting are carried out on ambiguity, when the ambiguity has no cycle slip and converges, the forecasting covariance is reset to be a minimum value so as to apply reinforced constraint, and the reinitialization time is remarkably compressed; performing parameter estimation to obtain an optimal value and a pseudo-range post-test residual error; the satellite clock error constant deviation is calculated through multi-station multi-epoch residual errors in a combined mode, and the satellite clock error constant deviation is fused into the original code deviation to form extended code deviation parameter broadcasting; the user side only needs to add the extension correction in the pseudo-range observation value to realize instantaneous centimeter-level positioning. According to the invention, high-precision and high-availability real-time precise single-point positioning service under the regional network condition is realized.

The application discloses a clock data recovery circuit and a method for preventing false locking or non-locking of the clock data recovery circuit. The method uses a locking detector in the clock data recovery circuit to judge four kinds of information, i.e. clock advance, clock lag, clock error 1 and clock error 2, detected by a phase detector in the clock data recovery circuit, so that whether the input data rate of the current clock recovery circuit matches the sampling clock can be effectively judged. When the input data rate is high, the clock data recovery circuit is prevented from running off-center and being non-locked, and when the input data rate is low, the clock data recovery circuit is prevented from being false-locked. Meanwhile, the upper protocol layer is rapidly informed. Compared with a traditional speed negotiation mechanism based on the upper protocol layer, the efficiency is improved, and the clock data recovery circuit is effectively prevented from being non-locked.

To continue positioning calculation regardless of the presence or absence of a correction signal and to shorten an initial position calculation time in a satellite navigation system.SOLUTION: In a satellite navigation system including a GPS in United States and a quasi-zenith satellite system in Japan, in a wide-area differential GPS for generating and transmitting correction information on a clock error, a position error, and the like of a navigation satellite, the correction information is transmitted via a communication line different from a wireless correction signal from the satellite, so that positioning calculation is continued regardless of whether or not the correction signal is shielded in a user station, and the correction information transmitted in the past is repeatedly transmitted together with the latest correction information, so that an initial position calculation time (TTFF) in the user station is shortened.SELECTED DRAWING: Figure 1

The application discloses a BDS-2 / 3 precise point positioning tight combination ambiguity resolution method, which comprises the following steps: S1: fixing station coordinates, using international GNSS service (IGS) analysis center satellite orbit and clock error products, performing (MW) combination calculation and ionosphere-free (IF) floating point PPP resolution, and outputting station channel floating point wide lane ambiguity and pseudo-range OMC residual error; and S2: selecting a reference station and a BDS-3 reference star, and using the result of step S1 to calculate wide lane phase correction deviation and ionosphere-free combination signal distortion deviation correction number. The BDS-2 / 3 precise point positioning tight combination ambiguity resolution method has better model strength. Compared with a PPP-AR loose combination mode, the application adopts a tight combination mode, has better model strength, can fully play the advantages of BDS-2 and BDS-3 fusion processing, can eliminate the phase deviation between wide lane systems and the pseudo-range system deviation and the signal distortion deviation between channels of BDS-2 and BDS-3, and significantly improves the precise positioning performance of the Beidou system.