37 results about "Nonlinear coefficient" patented technology

The invention provides a comprehensive noise reduction performance evaluation method for a nonlinear ultrasonic detection signal noise reduction algorithm, and the method comprises the steps: firstly constructing a multi-working-condition noise reduction performance pre-screening mechanism based on error band analysis based on early-stage experimental data, and then introducing a radar map as an evaluation tool for the comprehensive noise reduction effect of the signal noise reduction algorithm. The noise reduction effects of a moving average method (MA), a spectral subtraction method (SS), a short-time Fourier transform method (STFT), a wavelet transform method (WT) and an orthogonal matching pursuit algorithm (OMP) are compared, and finally a signal noise reduction algorithm with the optimal comprehensive efficiency is screened out. On the basis of algorithm optimization, quantitative mapping rules between microcrack three-dimensional geometric parameters and relative nonlinear coefficients are analyzed through regression modeling, and the significant level of the correlation degree of the relative nonlinear coefficients and microcrack size parameters is effectively improved; and a high-confidence theoretical support is provided for quantitative nondestructive detection of the microcracks in engineering practice.

The invention discloses a carbon fiber prepreg laying layer defect detection method and system based on nonlinear guided waves, and the method comprises the steps: arranging excitation and receiving sensor arrays at the inner side and the outer side of a carbon fiber prepreg region, transmitting Hanning window modulation sine wave signals through the excitation sensor arrays, arranging an acoustic metamaterial layer on the surface of a detection region, and detecting the defects of the carbon fiber prepreg laying layer through the acoustic metamaterial layer. An excitation sensor array is divided into two groups to emit different phase signals, so that wave beams are focused at specified positions in a detection area and interact with each other, normalized time-frequency analysis is performed on reference signals and to-be-detected signals, second harmonic components and sideband frequency components are extracted, a relative nonlinear coefficient is calculated based on a signal difference value, and the relative nonlinear coefficient is calculated. And processing and receiving full matrix data of the sensor array by adopting a full focusing method, and reconstructing a nonlinear coefficient distribution image in the carbon fiber prepreg to carry out defect positioning and quantitative evaluation on the acoustic metamaterial layer. According to the invention, accurate and reliable detection and early warning of micro-defects in the carbon fiber prepreg laying process are realized.

Optical transmission property estimation device comprising:a transmission waveform restoration unit configured to restore a transmission signal from a reception signal obtained by receiving an optical signal by a coherent detection system; andan estimation unit configured to estimate an optical power distribution in a transmission line by estimating a nonlinear coefficient in a propagation equation of a light wave by a linear least square method based on the restored transmission signal and the reception signal.

The embodiment of the invention discloses an infrared band multi-mode calibration method and device. The method comprises the following steps: calculating a point spread function (PSF) of an original infrared image, and generating a spatial response matching filter function (SRMF) according to the PSF; carrying out two-dimensional convolution calculation on the SRMF to obtain an infrared image after effective space calibration; generating a possible spectral response function of ice pollution, and evaluating an optimal ice pollution spectral response through a cross calibration method; according to the optimal ice pollution spectral response, a spectral response function after possible spectral offset is generated, the optimal possible spectral offset is evaluated through a cross calibration method, and a spectral response function after spectral calibration is obtained through optimal sampling; calculating a linear coefficient, a nonlinear coefficient and a constant coefficient of radiometric calibration; and according to each coefficient of radiometric calibration, calculating the radiation quantity of the infrared image after multi-modal calibration. The method can overcome the existing problems and promote the quantification and multi-source fusion application of the satellite infrared data.

This invention discloses a system and method for monitoring the hydrogen damage state of metals, comprising: a hydrogen charging device for electrochemically charging a plate-shaped sample of the same metal as the target metal that has not undergone hydrogen damage; a hydrogen permeation measuring device for converting hydrogen atoms permeating into the sample into hydrogen ions during the hydrogen charging process and measuring the current generated by the free electrons produced during the conversion process in real time to obtain a hydrogen permeation curve; and an ultrasonic measuring device for emitting ultrasonic guided waves to the sample during the hydrogen charging process and receiving the nonlinear response signal generated by the guided waves exciting ultrasonic waves inside the sample, and then performing cepstral analysis on the received signal to obtain the nonlinear coefficients at different time periods. Based on this, combined with the hydrogen permeation curve, the correlation between the nonlinear response signal and the degree of hydrogen damage is determined, and then the nonlinear response signal of the target metal is substituted into the correlation to obtain the hydrogen damage state inside the metal. This invention can monitor and evaluate the degree of hydrogen damage inside metals in real time.

An optical nonlinearity measurement method according to the present disclosure utilizes photon pair generation through a spontaneous four-wave mixing process, to observe photon pairs using an optical waveguide loaded with a two-dimensional material. Compared with the Z-scan method, the influence of free carriers on nonlinear refractive indexes is only indirect. With a parameter being the length of the attached two-dimensional material in the optical waveguide direction, a theoretical value of the coincidence rate of the photon pairs based on the coupled wave equation is fitted to a measured value of the coincidence rate of the photon pairs. For the coincidence rate of the photon pairs, the theoretical value based on the coupled wave equation is fitted to the measured value in a state reflecting the structure of the optical waveguide loaded with the two-dimensional material, and nonlinear coefficients γ1 and γ2 at that time are obtained.

This invention discloses a numerical inversion method for nonlinear stress fields, comprising: selecting a study area and constructing a three-dimensional geological model; discretizing the boundary surface of the three-dimensional geological model into multiple surface elements, assigning a nonlinear variation coefficient to each surface element to generate the nonlinear variation coefficient of the model boundary surface; determining the stress components with significant influence on the study area based on measured geostress values ​​as linear boundary conditions applied to the model; adjusting the nonlinear coefficients of the linear boundary conditions to obtain nonlinear boundary conditions; determining the calculated stress component values ​​at measured points under preset working conditions based on the nonlinear boundary conditions; determining the regression coefficients for each preset working condition using the principle of linear superposition and the least squares method based on the measured and calculated stress component values; and generating a nonlinear geostress field based on the nonlinear boundary conditions and regression coefficients and a numerical calculation model. This method achieves the loading of nonlinear stress boundaries, thereby determining the optimal nonlinear geostress field.

This invention discloses a method for extracting radio frequency fingerprints of broadband signals based on nonlinear features, comprising the following steps: extracting all preamble symbol groups from the received signal frame and performing preprocessing; constructing a matrix using the known preamble signal to obtain the vector value of the nonlinear coefficient mixed with multipath propagation; eliminating multipath effects based on the vector value to obtain a fingerprint value containing only nonlinear features; obtaining the nonlinear feature value of the mixture of nonlinear coefficient and local preamble based on linear convolution rules; and combining the above values ​​containing only nonlinear coefficients with the values ​​of the mixture of nonlinear coefficient and local preamble to provide a reliable transmitter identification method as a nonlinear fingerprint. The radio frequency fingerprint extraction method proposed in this invention is less affected by channel conditions and has high feature dimension scalability, thus providing a technical means for high-precision transmitter identification using radio frequency fingerprinting technology.

The invention provides a low-complexity nonlinear compensation method and system for digital subcarrier multiplexing optical communication, and the method comprises the steps: calculating a nonlinear coefficient of a digital subcarrier multiplexing optical communication system, and carrying out the quantization processing of the nonlinear coefficient through employing a uniform quantization mode; by taking the cross-section length as a processing step length, converting the time domain signal of each subcarrier to a frequency domain for dispersion compensation, and then converting the compensated signal back to the time domain; calculating nonlinear phase noise in the subcarriers based on the time domain signal intensity of each subcarrier by taking the cross-section length as a processing step length, and performing phase rotation compensation; and calculating inter-subcarrier nonlinear phase noise and inter-polarization crosstalk based on the quantized nonlinear coefficient, subcarrier signal strength and inter-polarization crosstalk strength by taking the cross-section length as a processing step length, constructing a nonlinear compensation matrix and performing matrix compensation. According to the invention, the calculation complexity of an optical fiber nonlinear compensation algorithm is reduced, and efficient nonlinear compensation of a digital subcarrier multiplexing optical communication system is realized.

The invention discloses a large dynamic reverse demodulation method and device based on a TDMA (Time Division Multiple Access) system. The method comprises the following steps: maintaining and storing a terminal portrait lookup table of received power statistics of each terminal; before the target time slot of the terminal arrives, predicting the received power distribution of the terminal based on the portrait, and constructing a risk objective function for balancing overload risk and quantitative loss; an optimal pre-cut gain is determined by optimizing the function. In the login time slot, the absolute gain deviation and the nonlinear coefficient of the receiving link are further estimated by using the coded power reference pilot frequency on the basis of applying the pre-cut gain, and the secondary calibration gain and the linearization compensation parameter are calculated. In a subsequent service time slot, demodulation is carried out by using secondary calibration gain and linear compensation. And after demodulation, updating the terminal portrait in a closed loop by using the actually measured power. According to the invention, through predictive risk minimization gain decision and nonlinear online compensation, accurate and adaptive gain control is realized, and the receiving performance and the dynamic range of the system are improved.

The present application belongs to the field of ultrafast laser and nonlinear optics, and particularly relates to a near-infrared few-cycle pulse generation system and method based on high-pressure nonlinear enhancement. The method fills inert gas into a hollow-core anti-resonant optical fiber and adjusts the gas pressure to the high-pressure interval of 20 bar-90 bar, enhances the nonlinear coefficient of the gas to realize the dispersion and nonlinear dynamic balance of the pulse in the waveguide, thereby compensating for the insufficient peak power of the low-energy pump pulse. The pulse feedback module collects the output time-domain intensity waveform and extracts the main peak energy proportion and the splitting factor as feedback indexes. The control module diagnoses the offset state of the self-compression focal point relative to the truncated end face according to the feedback indexes, controls the small-step pressure regulation of the gas pressure regulation module to anchor the focal point on the truncated end face, and directly outputs high-quality and high-coherence near-infrared few-cycle pulses without external dispersion compensation devices.

The embodiments of the present disclosure disclose an infrared waveband multi-modal calibration method and device. The method comprises: calculating a point spread function (PSF) of an original infrared image, and generating a spatial response matching filter function (SRMF) according to the PSF; performing two-dimensional convolution calculation on the SRMF to obtain an infrared image after effective spatial calibration; generating a possible spectral response function affected by ice pollution, and evaluating an optimal ice pollution spectral response by a cross-calibration method; generating a possible spectral response function after possible spectral shift according to the optimal ice pollution spectral response, and evaluating an optimal possible spectral shift amount by the cross-calibration method, and obtaining a spectral response function after spectral calibration by optimal sampling; calculating a linear coefficient, a nonlinear coefficient and a constant coefficient of radiation calibration; and calculating an infrared image radiation after multi-modal calibration according to the coefficients of radiation calibration and. The method can overcome existing problems and promote quantitative satellite infrared data and multi-source fusion application.

The invention provides a harmonic correction method and device for a high-precision analog-to-digital converter, electronic equipment and a medium, and the method comprises the steps: obtaining a set step length and an index coefficient, inputting the index coefficient and the set step length into a preset analog-to-digital converter, constructing an analog-to-digital conversion operation relational expression, constructing a positive offset relational expression and a negative offset relational expression on the basis of the analog-to-digital conversion operation relational expression, so as to determine the change direction of the set step length according to the second harmonic power of the two offset relational expressions; and extracting harmonic distortion of a calculation result of the analog-to-digital conversion operation relational expression, adjusting an index coefficient based on the harmonic distortion and a preset harmonic distortion threshold value, and determining a nonlinear coefficient according to the adjusted index coefficient and a set step length so as to correct corresponding harmonic waves. According to the harmonic correction method provided by the invention, the nonlinear coefficient of each order of the analog-to-digital converter is rapidly obtained through an indirect measurement mode, the harmonic of the high-precision analog-to-digital converter is conveniently and accurately corrected, and the yield and the consistency of a circuit are improved.

The application discloses a kind of nonlinear ultrasonic time-frequency dual-branch modal fusion concrete damage identification methods, it is related to nondestructive testing technical field.The application is identified to concrete micro-damage by fusing time domain, frequency domain dual-branch and the multimodal deep learning model of nonlinear coefficient;In time domain branch, the time domain characteristics and time sequence dependent relationship of nonlinear ultrasonic signal are jointly modeled by combining wavelet energy analysis and multi-scale time domain block time series analysis;In frequency domain branch, the effective extraction and adaptive weighting of spectral feature are realized by using lightweight convolutional neural network and introducing attention mechanism;At the same time, a variety of nonlinear coefficients are integrated into feature fusion stage to enhance damage representation ability;As described above, the application can improve nonlinear ultrasonic recognition concrete damage efficiency, while ensuring the accuracy of concrete damage identification.

The application discloses a microstrip line passive intermodulation prediction method based on a nonlinear coefficient R n , and belongs to the technical field of passive intermodulation prediction. The application obtains a parameter nonlinear coefficient R2 based on an edge defect index of a microstrip line, applies a multiple linear regression method, and establishes a passive intermodulation prediction model to predict third-order passive intermodulation power levels of the microstrip line under different processes. The mapping relation between the microscopic defect index and the nonlinear coefficient is substituted into an expression for solving third-order passive intermodulation transmission and reflection power, the error between the prediction and the test result is within the range of ±6 dB, and a feasible method is provided for the prediction and analysis of the third-order passive intermodulation power of the microstrip line.

This invention discloses a measuring device and method for detecting the nonlinear coefficient and attenuation coefficient of surface waves on a main beam, relating to the technical field of cranes. It solves the problem of difficulty in online measurement of fatigue damage state assessment parameters for crane main beams. The device includes: a piezoelectric surface wave transducer and two dual-electrode piezoelectric thin-film sensors, both pressed firmly onto the surface of the steel plate to be tested; the dual-electrode piezoelectric thin-film sensor closer to the piezoelectric surface wave transducer is designated as sensor number one, and the dual-electrode piezoelectric thin-film sensor farther from the transducer is designated as sensor number two; the piezoelectric surface wave transducer is used to excite surface waves, and sensors number one and two are used to receive surface waves. In this invention, the measuring device is fixed using magnets, making it easy to install and remove, reliably fixed, and compact, adaptable to the working environment of cranes.

This invention belongs to the field of mechanical analysis technology and provides a method and system for elastic beam deformation analysis based on fourth-order nonlinear differential equations. The method includes: obtaining the stress-strain relationship and lateral displacement function of the elastic beam; constructing a fourth-order nonlinear mechanical response function of the elastic beam based on the obtained stress-strain relationship and lateral displacement function; solving the constructed fourth-order nonlinear mechanical response function to identify the local buckling location and higher-order shear effects of the elastic beam; taking the minimum weight of the elastic beam as the objective function, considering the displacement and stress constraints of the elastic beam, performing sensitivity analysis of the elastic beam based on the obtained local buckling location and higher-order shear effects, adjusting the nonlinear coefficient of the elastic beam, and completing the elastic beam deformation analysis based on fourth-order nonlinear differential equations.

The invention discloses a pipeline micro-damage evaluation method and system based on a self-evolution label, and the method comprises the steps: arranging a plurality of incident probes on a suspected damage region of a pipeline, connecting ultrasonic excitation equipment with each incident probe, and transmitting excitation signal waves to the suspected damage region; a receiving end receives the signal echo of the suspected damage area, and generates a signal atlas tensor of each detection point in the suspected damage area according to the signal echo; setting an embedded network, inputting the signal atlas tensor into the embedded network, and mapping the signal atlas tensor into a low-dimensional embedded vector of each detection point; and calculating a nonlinear coefficient according to the signal echo, and marking a damage level for each detection point through a self-evolution label generation mechanism in combination with the low-dimensional embedded vector of each detection point, thereby completing pipeline micro-damage evaluation.

The invention provides an orthogonal matching pursuit algorithm-based ultrasonic non-linear metal material microcrack size detection method. The method comprises the following steps: step 1, preparation before detection; step 2, ultrasonic signal emission and reception for microcrack detection; step 3, signal processing and analysis; according to the invention, through a one-transmitting and one-receiving ultrasonic excitation and receiving mode, data processing is carried out on a received signal, so that the size of the microcrack on the surface of the metal material is detected; an orthogonal matching pursuit algorithm is introduced to research an upper computer signal processing method, and accurate calculation of a nonlinear coefficient is achieved. The method has the advantages of high microcrack detection precision, high detection applicability and wide detection range, and is suitable for accurate detection of the microcrack size of the material in service.

The invention belongs to the technical field of mechanical analysis, and provides an elastic beam deformation analysis method and system based on a fourth-order nonlinear differential equation, and the method comprises the steps: obtaining a stress-strain relation and a transverse displacement function of an elastic beam; constructing a fourth-order nonlinear mechanical response function of the elastic beam based on the obtained stress-strain relation and the transverse displacement function; solving the constructed fourth-order nonlinear mechanical response function, and identifying a local buckling position and a high-order shear effect of the elastic beam; taking the minimum weight of the elastic beam as a target function, considering the displacement constraint and stress constraint of the elastic beam, carrying out the sensitivity analysis of the elastic beam according to the obtained local buckling position and high-order shearing effect of the elastic beam, adjusting the nonlinear coefficient of the elastic beam, and completing the deformation analysis of the elastic beam based on the fourth-order nonlinear differential equation.

The application discloses a permanent magnet synchronous motor mechanical parameter and electrical parameter identification method, which comprises the following steps: performing nonlinear transformation on a steady-state model of the permanent magnet synchronous motor; performing parameter replacement on the steady-state model with eliminated nonlinear coefficients based on a torque equation and mechanical motion wear in combination with measured data under different rotating speeds; obtaining estimation and performing calculation and value taking; and substituting the obtained result into a motor model for estimating flux linkage to obtain estimated flux linkage and estimated electromagnetic torque. By using the application, the motor damping coefficient and DC bias can be accurately estimated, and motor flux linkage diagrams and electromagnetic torque diagrams that are closer to actual operation conditions of the motor can be obtained. The application can be widely applied to the technical field of permanent magnet synchronous motors as a permanent magnet synchronous motor mechanical parameter and electrical parameter identification method.

The invention discloses a method for evaluating early deterioration of a dissimilar steel welded joint based on a multi-non-destructive detection technology, and the method comprises the steps: measuring a second-order nonlinear coefficient of the welded joint through a nonlinear ultrasonic detection system, and evaluating the change of a microstructure; measuring magnetic performance parameters of a welding joint by customizing a magnetic Barkhausen noise sensor system, and evaluating stress and microstructure evolution; measuring the hardness and other mechanical properties of the welding joint through an instrumented indentation tester, and evaluating the deterioration degree of the material; associating the obtained detection parameters, and dividing the deterioration state of the welding joint into an initial stage, a middle stage and a final stage based on a predefined threshold value; and in combination with the detection parameters and microstructure evolution data, constructing a life prediction model based on fatigue-creep interaction, and predicting the residual life of the joint. According to the method, the perspectiveness of degradation identification and the accuracy of life prediction are remarkably improved (the error is smaller than + / -8%), and the method has good engineering applicability and popularization value.

The invention discloses a high-temperature molten salt thermophysical property parameter inversion method based on a high-low power laser heating strategy, solves the problem that an existing method cannot realize accurate decoupling measurement of heat conductivity coefficient, specific heat capacity and radiation physical property parameters of high-temperature semitransparent molten salt, and belongs to the technical field of high-temperature thermophysical property measurement. The method comprises the following steps: constructing a fused salt laser heating experiment system and a two-dimensional axisymmetric radiation heat conduction coupling heat transfer physical model; analyzing and screening an optimal parameter inversion time window by using a Fisher information matrix; low-power laser is used for generating tiny temperature rise, the radiation heat exchange weight is extremely low, and heat conduction parameters are inversed in the first step through the built system and model; then, high-power laser is utilized to generate great temperature rise so as to excite a remarkable medium internal radiation effect and physical property nonlinear change, and an obtained heat conduction parameter serves as a known quantity to analyze a radiation parameter sensitive to high temperature and a nonlinear coefficient of the physical property changing along with the temperature;

The application discloses a kind of adaptive nonlinear compensation method and system for high-speed wavelength division system, the method includes: obtaining the transmission signal to be processed and the channel parameter of corresponding transmission channel;According to the channel parameter, a plurality of compensation coefficient prediction models are screened out in candidate model library;According to all the compensation coefficient prediction models, the nonlinear coefficient corresponding to the transmission signal is determined;According to the nonlinear coefficient and the transmission signal is compensated using the preset low-pass filter algorithm, to obtain compensation signal.

The application provides a non-reference damage imaging method based on nonlinear Lamb waves and Bayesian inference, relates to the field of damage imaging, and specifically comprises the following steps: collecting nonlinear Lamb wave signals of multiple propagation paths; obtaining enhanced second harmonic signals through a pulse inversion technique; extracting time-of-flight characteristics of envelope signals; obtaining frequency spectra of the nonlinear Lamb wave signals by using fast Fourier transform, and calculating nonlinear coefficient damage index characteristics; performing feature-level fusion based on Bayesian estimation; solving a posterior probability density function of a damage position parameter by using Hamilton Monte Carlo sampling, and performing damage probability imaging positioning according to the posterior probability distribution. The technical scheme of the application overcomes the problem in the prior art that a large number of sensors usually need to be deployed, and it is difficult to meet the dual requirements of high-precision damage detection and minimization of the number of sensors in engineering practice.

The present application belongs to the field of ultrafast laser and nonlinear optics, and particularly relates to a near-infrared few-cycle pulse generation system and method based on high-pressure nonlinear enhancement. The method fills inert gas into a hollow-core anti-resonant optical fiber and adjusts the gas pressure to the high-pressure interval of 20 bar-90 bar, enhances the nonlinear coefficient of the gas to realize the dispersion and nonlinear dynamic balance of the pulse in the waveguide, thereby compensating for the insufficient peak power of the low-energy pump pulse. The pulse feedback module collects the output time-domain intensity waveform and extracts the main peak energy proportion and the splitting factor as feedback indexes. The control module diagnoses the offset state of the self-compression focal point relative to the truncated end face according to the feedback indexes, controls the small-step pressure regulation of the gas pressure regulation module to anchor the focal point on the truncated end face, and directly outputs high-quality and high-coherence near-infrared few-cycle pulses without external dispersion compensation devices.

The invention provides a method and equipment for determining parameters of a measuring tube, relates to the technical field of flow measuring equipment, and aims to solve the problem that phase difference measurement precision is low when the measuring tube is used for measuring high-density and high-viscosity fluid. The measuring tube parameter determination method comprises the following steps: acquiring an initial structure parameter of a measuring tube in a mass flow meter, a physical property parameter of a fluid to be measured in the measuring tube and a fixed stress for fixing the measuring tube; the measuring tube is used for measuring the mass flow of to-be-measured fluid; determining the strength index of the measuring tube according to the physical property parameters and the initial structure parameters; performing analogue simulation on the to-be-measured fluid and the measuring tube according to the physical property parameters and the initial structure parameters so as to determine a nonlinear coefficient of a relation function between the phase difference parameters of the measuring tube and the mass flow and pressure loss data of the to-be-measured fluid; and according to the initial structure parameter, the nonlinear coefficient of the relation function, the pressure loss data, the strength index and the fixed stress, determining a target structure parameter of the measuring tube.

The invention discloses a cable accessory interface pressure characteristic spectrum construction method based on a longitudinal ultrasonic nonlinear effect, and the method comprises the steps: carrying out the spectrum characteristic adaptive ultrasonic excitation parameter optimization of a pre-constructed ultrasonic detection system, and obtaining an optimized ultrasonic detection system; performing ultrasonic detection on a pre-prepared cable accessory composite interface sample under different interface pressures by using the optimized ultrasonic detection system, and collecting a reflected wave signal; extracting multi-dimensional characteristic parameters including ultrasonic nonlinear coefficients in the reflected wave signals, and constructing a characteristic parameter data set; and generating a standardized characteristic spectrum set corresponding to the interface pressure based on the characteristic parameter data set.

The application discloses a large dynamic reverse demodulation method and device based on a TDMA system, which comprises the following steps: maintaining a terminal image lookup table for storing statistical quantities of receiving power of each terminal; before a target time slot of a terminal arrives, predicting the receiving power distribution of the terminal based on the image, constructing a risk target function balancing overload risk and quantization loss, and determining the optimal pre-cut gain by optimizing the function; in a login time slot, using a coded power reference pilot, further estimating the absolute gain deviation and the nonlinear coefficient of the receiving link on the basis of the pre-cut gain, calculating the quadratic scaling gain and the linearization compensation parameter, and applying the quadratic scaling gain and the linearization compensation for demodulation in subsequent service time slots. After demodulation, the terminal image is updated by using the measured power closed loop. Through the predictive risk minimization gain decision and the nonlinear online compensation, the application realizes accurate and adaptive gain control, and improves the receiving performance and dynamic range of the system.

The present application relates to the technical field of pod, and discloses a kind of geographic tracking error automatic correction method, including the longitude and latitude high coordinate of calibration target point is obtained and input to photoelectric pod;Calibration target is locked in image center by ground station image tracking, and photoelectric pod receives error automatic correction instruction;Real-time calculation is carried out to the space guide angle between current pod and calibration target;When pod actual image locks calibration target, the current attitude angle is measured by inertial navigation in pod, and the error observation value of the point is calculated;N total error observation values corresponding to different space guide angles are continuously collected in smooth flight stage;System zero offset, scale factor error and nonlinear coefficient are obtained by using least square method, and it is stored;When executing geographic tracking task, the current space guide angle is calculated in real time, and the corresponding error prediction value is obtained to realize real-time correction.The present application continuously offsets time-varying error such as temperature drift and structural deformation by real-time data collection in flight, and precision no longer deteriorates with time.