134 results about "Amplitude correction" patented technology

The invention provides a multispectral fusion-based valve optical image enhancement identification method and system in severe weather, and the method comprises the steps: obtaining multispectral optical image data and mechanical dynamic response characteristics of an industrial pipeline valve in severe weather; based on the mechanical dynamic response characteristics, separating the multispectral optical image data to extract multiband texture characteristics associated with the reflection characteristics of the valve material; double amplitude correction of a spatial domain and a frequency domain is carried out on the multiband texture features; distributing a spectrum fusion weight for the multispectral optical image data according to the corrected multiband texture features; and generating an enhanced optical image matched with the actual mechanical state of the valve based on the spectrum fusion weight and the corrected multiband texture features. According to the method, the recognition accuracy of defects such as valve surface cracks and deformation in severe weather is improved.

The invention discloses a road video event rapid detection method based on edge calculation, particularly relates to the field of computer vision and image processing, and is used for solving the problem of motion evidence distortion caused by frame-level sequential disorder and content gaps in a road monitoring video. The method comprises the following steps of: reading a video clip, constructing a time sequence correction graph according to inter-frame content similarity and boundary continuity, rearranging to generate a corrected sequence, outputting a frame consistency index, estimating a stable motion field and a continuity score on the corrected sequence, and writing back an image stabilization amplitude correction time anchor point; generating an event evidence sequence according to the stable motion field, combining track breakpoints according to a time sequence correction graph, initiating backtracking revision to return candidate event segments, and if consistency verification is executed on candidate events, performing cross-level revision on the time sequence correction graph and image stabilization amplitude to trigger the stable motion field to re-estimate and output a confirmation event; and issuing a trigger result and establishing a mapping index as a new fragment to initialize priori acceleration time sequence correction and judgment convergence.

The invention provides a method and system for improving the flutter derivative recognition precision of a large-span bridge, and relates to the technical field of road and bridge safety, and the method comprises the steps: obtaining basic data and section geometric parameters of a target bridge; according to the geometric parameters of the section, constructing a model by combining the bluff body streaming characteristics of the section of the bridge to obtain a virtual model; performing forced vibration simulation on the virtual model based on preset working condition parameters to obtain a simulated self-excitation force amplitude; obtaining a virtual model based on the simulated self-excitation force amplitude and the actually measured self-excitation force amplitude, and outputting a simulated phase difference; based on the simulation phase difference and the actually measured phase difference, phase compensation is carried out on the virtual model after force amplitude correction, and individual digital twin bodies are constructed and obtained; and performing global digital twinborn construction according to the individual digital twinborn to obtain a flutter derivative global prediction model. According to the method, the global prediction model is established, the flutter derivative recognition precision is remarkably improved, and an analysis tool considering reliability and high efficiency is provided for bridge wind resistance design.

The invention provides an electro-hydraulic servo pump control method and system for controlling hydrogen compression based on fuzzy nerve, and relates to the technical field of hydrogen compression, and the method comprises the steps that the current state of a hydraulic cylinder controlled by an electro-hydraulic servo pump is determined, and an input control variable is obtained; determining an output control variable, establishing a fuzzy control rule, and dividing a basic discourse domain; performing composite defuzzification, and obtaining a corrected weight coefficient through a feedforward neural network; the discrete rule amplitude correction factor and the weight coefficient correction are dynamically optimized and corrected; neural network training is established, a loss function evaluation model is utilized, and hydrogen compression control is achieved through a double-buffering mechanism. Fuzzy PID control is adopted, composite defuzzification is carried out according to the real-time state change of a system in combination with fuzzy logic, a membership function output by the fuzzy PID is divided according to regions, a control signal of a driver is synthesized, and hydrogen compression control is achieved; system output is adjusted according to different working conditions, power loss is reduced, and system control precision is improved.

The invention relates to the technical field of wireless communication, and discloses a compensation method for electronic radio frequency communication. According to the compensation method for the electronic radio frequency communication, the radio frequency signal and the channel state information are acquired, the original data set is generated, and the preprocessing steps of denoising, signal amplitude correction, phase correction and the like are performed, so that the data quality is improved, accurate parameter evaluation is performed by adopting the minimum mean square error, the accuracy of channel characteristic parameters is ensured, and the communication quality is improved. A mathematical model constructed based on the parameters enables calculation of compensation parameter gain and phase deviation to be more accurate, so that attenuation and distortion caused by signal propagation in a channel are effectively compensated, and finally, quality evaluation is carried out on the bit error rate and the signal-to-noise ratio of the compensated signal, so that the compensation effectiveness is ensured, and the signal quality is improved. And if the compensation is invalid, the calculation can be returned in real time for recalculation, so that the quality of the whole signal is improved.

The invention provides a transformer partial discharge positioning method and device based on bushing CT acquisition. The method comprises the following steps: acquiring a high-frequency partial discharge pulse signal of a current transformer at a transformer bushing; background noise of the pulse signal is removed, amplitude correction is carried out, and a corrected pulse signal is obtained; judging whether the partial discharge belongs to external interference or internal partial discharge based on the polarity distribution rule of the corrected pulse signal; if the interference is external interference, comparing the amplitudes of the correction acquisition signals corresponding to the bushings, and taking the position corresponding to the current transformer with the maximum amplitude as an interference source injection position; if partial discharge occurs in the transformer, calculating the distance proportion from the partial discharge position to the head end of the winding according to the attenuation characteristic of the pulse signal propagating in the winding and the pre-injected calibration square wave signal so as to determine the discharge position. According to the method, the method for determining the partial discharge position of the transformer is simplified, external interference and internal partial discharge signals can be quickly identified, and misoperation of a protection device is avoided.

The invention relates to a multi-parameter estimation algorithm combining a disturbance quantification model and a rooting method in interference measurement. In order to solve the problems that in the prior art, the disturbance degree of a sequence is difficult to quantify, and harmonic key parameters are influenced by spectrum leakage, the invention provides the following innovative scheme: firstly, a sequence multi-classification measurement entropy quantification model is constructed, and quantitative evaluation of the signal noise degree is realized; secondly, through a Hankel matrix construction and rooting parameter estimation method, realizing accurate estimation of the harmonic frequency of the real-value signal; meanwhile, an amplitude correction algorithm based on window function characteristics is designed, and the signal sampling condition is effectively judged; and finally, through matrix weighting operation of a phase demodulation function, efficient reconstruction of an optical surface shape is realized, the problems of spectrum leakage and disturbance quantification in a traditional method are solved, and the method has relatively high measurement precision.

The invention discloses a wind turbine generator impeller anomaly detection method and system based on sound vibration signal identification. According to the method, firstly, impeller response is collected through a microphone / vibration sensor, and a Mel spectrogram is generated; then, a Teager-Kaiser energy operator and self-correlation analysis are utilized, and under the condition of not depending on a rotating speed signal, the rotating period of the impeller is recognized, and frequency spectrum segmentation is carried out; calculating a cross-period Mel frequency spectrum dynamic deviation, and normalizing the cross-period Mel frequency spectrum dynamic deviation through an amplitude correction coefficient related to the rotating speed; generating a periodic coherent energy diagram by adopting an improved structural similarity algorithm; performing filtering enhancement by using a harmonic resonance template, performing morphological deconstruction and parameterization on an abnormal region in the graph, and extracting geometric features; and finally, calculating a comprehensive abnormal score based on the multi-dimensional features and realizing automatic early warning. According to the method, the problems of variable working condition interference and rotating speed dependence are effectively solved, and accurate and stable detection of early abnormality of the impeller can be realized.

The invention provides a user behavior intention recognition method and device based on multi-modal data fusion, and relates to the technical field of data processing.The method comprises the steps that a multi-modal observation sequence is obtained, initial features are formed through time synchronization and mutual information screening, a cross-space initial offset vector is generated in combination with virtual space offset parameters, and the cross-space initial offset vector is obtained; establishing an association relationship between a real action and a virtual action through nonlinear mapping to obtain a cross-space registration feature; generating a correction coefficient according to the proportion of the real action amplitude and the virtual action amplitude, and performing amplitude correction to obtain a cross-space correction feature sequence; compensating rendering delay and synchronous drift by using weighted fusion of the current feature and the lag feature to obtain a time sequence correction feature; outputting cross-space fusion features through a unified embedding space and a cross-modal attention mechanism; and non-linear intention mapping is constructed based on the fusion features, and a user behavior intention result is inferred and output in combination with time smoothing. According to the invention, the accuracy of user behavior intention analysis in a virtual field scene can be improved.

A multi-channel amplitude and phase correction method for a radio frequency receiving end based on an FPGA (Field Programmable Gate Array) comprises the following steps: S1, in a large-scale MIMO (Multiple Input Multiple Output) system, the radio frequency receiving end groups signals received in real time, each group comprises a reference channel signal and a to-be-calibrated channel signal, and the steps S2-S3 are respectively executed by taking the group as a unit to carry out signal correction; s2, preprocessing each group of received signals to obtain preprocessed sampling signals; s3, constructing an amplitude phase correction model, calculating a phase correction factor and an amplitude correction factor to carry out iterative correction operation on the to-be-calibrated channel signal based on the preprocessed sampling signal, and outputting a corrected signal; and S4, after all groups are corrected, M groups of corrected signals are obtained, and the signal correction of the round is completed. According to the design, the calculation resource consumption of the FPGA is reduced while the amplitude phase correction precision is ensured, and meanwhile, the problem that the correction precision is reduced under the condition that the number of sampling points is a non-signal period integer is avoided.

The invention belongs to the field of electric energy meters, particularly relates to an automatic compensation calibration method for electric energy metering errors of an electric energy meter, and aims to solve the technical problems that a CORDIC algorithm is difficult to give consideration to efficiency and precision and an existing compensation method is difficult to correct multi-dimensional nonlinear errors under wide temperature and wide flow. Outputting an uncorrected x-axis component and a final accumulated phase angle, wherein the improved CORDIC iterative operation comprises M times of coarse rotation iteration and P times of fine rotation iteration; s2, performing amplitude correction on the uncorrected x-axis component to obtain a corrected instantaneous current amplitude; and S3, performing reconstruction by using the corrected instantaneous current amplitude and the final accumulated phase angle to obtain a corrected instantaneous current value, multiplying the corrected instantaneous current value by the instantaneous voltage value to obtain instantaneous active power, and performing accumulated integration on the instantaneous active power to obtain a compensated and calibrated electric energy value. According to the invention, high-precision metering performance of the electric energy meter in a wide current range and a wide temperature change range can be ensured.

The invention discloses a lightning return stroke current inversion method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a lightning electromagnetic field waveform, position information of a lightning stroke point and position information of a detection station for positioning the lightning stroke point in a lightning stroke research area during a lightning occurrence period; extracting a plurality of sampling values from the lightning electromagnetic field waveform according to a preset sampling frequency; aiming at each sampling value, correcting the current sampling value according to the amplitude correction coefficient and the time delay correction coefficient, and generating each corrected sampling value; and performing inversion according to each corrected sampling value, the position information of the lightning stroke point and the position information of the detection station for positioning the lightning stroke point, and generating each lightning return stroke current. According to the invention, the accuracy of lightning return stroke current inversion can be improved.

The invention provides a multi-modal fusion radar tide level intelligent adaptive filtering method, which belongs to the technical field of radar tide, and comprises the following steps: through dual-polarization radar signal acquisition, performing three-layer wavelet decomposition on vertical and horizontal polarization digital intermediate frequency signals, and marking clutter coefficients based on variance and skewness threshold values; performing adaptive soft threshold processing, evaluating residual clutter confidence coefficient by using a convolutional neural network, dynamically adjusting suppression intensity, calculating a polarization phase difference sequence, inputting the polarization phase difference sequence into a long-short-term memory network to identify a false target distance unit, and calculating multipath path parameters by combining ray tracing of a digital elevation model to perform phase compensation and amplitude correction; finally, an accurate tide level height value is obtained by detecting a real tide level distance Doppler spectrum peak value, and the technical problem that the measurement precision is reduced due to the fact that radar tide level measurement cannot effectively distinguish clutter interference and multipath false targets in a complex marine environment is solved.

The application discloses a multi-octave wideband frequency conversion assembly, which comprises a frequency conversion circuit, an amplitude control circuit and a switch filter set, wherein the frequency conversion circuit expands the input radio frequency to an intermediate frequency signal through two local oscillator frequency points for the input radio frequency signal and outputs the intermediate frequency signal to the amplitude control circuit; the amplitude control circuit adjusts the amplitude of the intermediate frequency signal output by the frequency conversion circuit; the switch filter set filters the signal output by the amplitude control circuit through a multi-path filter set, filters out harmonics and stray signals, and performs amplitude correction to obtain a multi-octave intermediate frequency output signal. The 3-4GHz signal is expanded to a ten-octave signal of 0.2-2GHz which can be directly processed by a digital circuit through the two local oscillator frequency points of 4 / 5GHz, the output power reaches 10dBm, the harmonic suppression reaches more than 48dBc, the power flatness reaches ±1dB, the dynamic range reaches more than 60dB, and the step is only 0.25dB.

One embodiment is a method of deconvolving overlapping first and second pulses in a photon-counting CT scanning system, the method comprising detecting a first pulse event having a first detected level; detecting a second pulse event having a second detected level; determining an amount of time that elapses between the detected first pulse event and the detected second pulse event; and reconstructing the first pulse and the second pulse using the first and second detected levels, the duration of time between the first and second pulse events, and a known pulse shape.

Embodiments of the present invention disclose a method, device, equipment and medium for determining a structural trap volume correction coefficient. Among them, the method includes: determining the trap type of the structural trap to be measured, and determining the standard cross-section of the structural trap to be measured according to the trap type; the trap type includes anticline type, faulted anticline type and fault block type, and the standard cross-section is used to represent the plane where the bottom surface of the structural trap to be measured is located; determining the target parameter information of the structural trap to be measured on the standard cross-section, and determining the reference correction coefficient of the structural trap to be measured according to the target parameter information; the reference correction coefficient includes at least two of amplitude correction coefficient, fault correction coefficient and reservoir correction coefficient; determining the volume correction coefficient of the structural trap to be measured according to the reference correction coefficient. The technical solution can quickly and accurately obtain the volume correction coefficient of the structural trap approaching the underground real situation based on the standard cross-section of the structural trap, which helps to improve the prediction speed and prediction accuracy of the resource volume of the structural trap.

The application discloses a satellite attitude-orbit integrated control method for on-orbit capture, and belongs to the technical field of micro-satellite attitude-orbit integrated control. The application aims at the problem that the control accuracy is influenced by the cooperative delay of discrete actuators in the attitude-orbit integrated control. The application comprises the following steps: eight inclined thrusters are symmetrically arranged on two mounting surfaces and are symmetrically arranged on diagonal lines; based on the expression of the thrust and the force moment of the thrusters on the tracking star, a target function is constructed under the constraint condition, the thrust output meets the task requirement as a prerequisite, and the maximum moment output capacity is taken as a target to determine the mounting angle of the thrusters; a limiting amplitude correction factor is calculated by using a limiting amplitude method based on the thrust envelope, and the output capacity of the thrusters is maximally utilized as a target; a hybrid target function of the minimum fuel consumption and the minimum residual error of the moment distribution is constructed, the thrust value of each thruster is calculated, and the control of the thrusters is realized. The application is used for the satellite attitude-orbit integrated control.

The invention relates to a system comprising a first and second generator (E1, E2) delivering excitation signals to a first and second resonator (R1, R2) generating chaotic signals. The resonators (R1, R2) are structurally different and coupled to one another. Advantageously, this system makes it possible to synchronize the chaotic signals and comprises: ● a dissipation correction module acting on the modulation frequencies fm1, fm2 of the excitation signals, ● a non-linearity correction module acting on the amplitudes of the excitation signals, ● a resonant frequency correction module acting on the carrier frequencies fc1, fc2 of the excitation signals, ● an amplitude correction module acting on the amplitudes of the chaotic signals. The invention also relates to a synchronization method based on this system.

The invention discloses a system and a method for testing current transformers among transformer substations. The system comprises a mobile master station unit, a plurality of field data acquisition units and a portable standard current transformer. All the units are synchronized to coordinated world time through a global navigation satellite system; the mobile master station unit sets future absolute trigger time, and realizes synchronous acquisition of secondary signals of the current transformer to be detected and the portable standard current transformer by multi-station hardware; based on a standard truth value obtained by a main station self-monitoring loop, amplitude correction factor and phase correction calculation is carried out on each substation signal, and error compensation is completed; furthermore, high-precision and traceable ratio error and angle error results are output through frequency adaptive interception, windowing interpolation spectrum analysis and uncertainty evaluation. According to the invention, power failure is not needed, synchronous, high-precision and traceable comparison of multi-station current transformers can be realized in a wide area range, and the reliability of a power grid metering and protection system is improved.

The invention relates to a casing wave relative amplitude correction method and system based on well cementation cement density, and the method does not consider the influence of the cement density change on the casing wave amplitude during the actual well cementation quality evaluation, and simulates the full-wave waveform of sound waves received in a well through the methods of real axis integration and the like. The classic elastic wave theory and the slip interface theory are combined, and the method which is high in universality and is used for correcting the wave amplitude of the casing with the actually-measured cement density to the wave amplitude of the casing with the compared cement density is determined; according to the simulation result of the sound field in the well, the correction method has a reliable theoretical basis; the actual stratum and the rock physical model are combined, calculation is convenient and simple, universality is high, and applicability is wide.

The invention belongs to the technical field of magnetic resonance signal processing, and aims to provide a spoke image correction method and system based on a constant gradient CPMG sequence. The method comprises the following steps: scanning a specified standard motif by adopting a constant gradient CPMG sequence, and obtaining a frequency-amplitude correction curve according to a scanning result; acquiring a frequency range of a specified standard motif, and fitting the correction curve according to the frequency range to obtain a fitted frequency-amplitude correction curve; a constant gradient CPMG sequence is adopted to scan a to-be-detected sample, and spoke images of the to-be-detected sample at multiple echo moments are obtained; and adopting the fitted frequency-amplitude correction curve to correct the spoke images of the sample to be measured at the plurality of echo moments to obtain the corrected spoke images of the sample to be measured at the plurality of echo moments. The spoke image of the to-be-tested sample can be corrected, and the analysis accuracy of the to-be-tested sample can be improved.

The invention discloses a GIS partial discharge rapid positioning method based on a multi-normal projection principle, and relates to the technical field of partial discharge on-line monitoring, a three-dimensional photoelectric array formed by silicon optical semiconductor sensors is used for obtaining a partial discharge signal amplitude, a direction vector is constructed, and a unit direction is obtained through solving a local intersection point. And further combining with least square optimization of multi-unit rays to obtain initial position estimation of the partial discharge source. On the basis, an amplitude correction and iteration updating mechanism is introduced, observation data are corrected, and a real position is gradually approached, so that high-precision three-dimensional partial discharge source positioning in a complex electromagnetic environment is realized. Through the combination of the silicon optical sensor three-dimensional array and the improved multi-vector projection iterative algorithm, high-precision partial discharge positioning can be realized in a complex electromagnetic environment, the operation reliability and the operation and maintenance efficiency of equipment are remarkably improved, and the method has a wide engineering application prospect.

The embodiment of the present invention discloses a method, device, equipment and medium for determining the volume correction coefficient of anticline type trap. The method includes: determining the target parameter information of the anticline type trap to be measured on the standard cross section; the standard cross section is used to represent the plane where the bottom surface of the anticline type trap to be measured is located; determining the reference correction coefficient of the anticline type trap to be measured according to the target parameter information; the reference correction coefficient refers to the amplitude correction coefficient and the reservoir correction coefficient; determining the volume correction coefficient of the anticline type trap to be measured according to the reference correction coefficient. This technical solution can quickly and accurately obtain the volume correction coefficient of the anticline type trap that is close to the actual underground situation based on the standard cross section of the anticline type trap, which helps to improve the resource prediction speed and prediction accuracy of the anticline type trap.

The present invention discloses a method and system for detecting surface defects of turbine components of an air cycle machine, comprising: building a detection basis through image preprocessing and edge extraction, enhancing defect feature contrast in combination with grayscale value and gradient amplitude correction, realizing refined regional division using a region growing algorithm, quantifying defect judgment criteria with a scoring coefficient, and optimizing detection results through overlapping region screening, thereby effectively improving the accuracy and reliability of defect detection, being able to accurately identify minor defects and avoid misjudgment, and at the same time, the automated processing flow significantly improving detection efficiency, providing efficient and intelligent technical support for turbine component quality control.

The application discloses a digital BPM channel amplitude correction method and device, equipment and a storage medium thereof, and relates to the technical field of particle accelerators. The method comprises the following steps: receiving amplitude information and filter initial coefficients of a filter in a digital beam position probe, wherein the amplitude information is obtained by collecting the amplitude of each channel after the digital beam position probe receives a linear frequency modulation signal sent by a correction signal generator, and the linear frequency modulation signal is an analog bandwidth signal of the digital beam position probe; generating a correction coefficient array based on the amplitude information; performing convolution processing on the correction coefficient array and the filter initial coefficients to obtain the latest filter coefficients, and sending the latest filter coefficients to the digital beam position probe, so that the digital beam position probe performs amplitude correction between channels based on the latest filter coefficients. In other words, the amplitude information of the overall frequency band of the digital BPM is combined to improve the accuracy of the digital BPM amplitude correction.

The present application discloses an amplitude-preserving seismic imaging method, apparatus, electronic device, and medium. The method may include: performing angular decomposition on the source wavefield and the geophone wavefield in reverse time migration to obtain an unilluminated-corrected non-amplitude-preserving angular domain image gather; calculating an angular domain illumination compensation factor of the acquisition system; and performing imaging amplitude correction based on the angular domain illumination correction factor and the unilluminated-corrected non-amplitude-preserving angular domain image gather to obtain an amplitude-preserving seismic image gather. The present invention combines reverse time migration and one-way wave illumination analysis to accurately correct the imaging amplitude distortion problem caused by uneven illumination of the imaging propagation operator and the acquisition system, and obtains an angular domain amplitude-preserving gather, providing a reliable data basis for subsequent elastic parameter inversion.

A multi-channel amplitude and phase correction method for a radio frequency receiver based on an FPGA includes steps S1, where the radio frequency receiver groups the real-time received signals in a large-scale multi-input multi-output system, with each group including a reference channel signal and a channel signal to be calibrated. Steps S2 and S3 are then executed for each group to perform signal correction. Step S2 preprocesses each group of received signals to obtain a preprocessed sampled signal. Step S3 constructs an amplitude and phase correction model, calculates phase and amplitude correction factors based on the preprocessed sampled signal, performs iterative correction operations on the channel signal to be calibrated, and outputs the corrected signal. Step S4 completes the correction for all groups, obtaining M groups of corrected signals, and completing this round of signal correction. This design reduces FPGA computing resource consumption while ensuring amplitude and phase correction accuracy, and avoids the problem of decreased correction accuracy that occurs when the number of sampling points is not an integer of the signal period.

The present invention provides a method and device for locating transformer partial discharge based on bushing CT data acquisition. The method comprises: acquiring high-frequency partial discharge pulse signals from current transformers at the transformer bushings; removing background noise from the pulse signals and performing amplitude correction to obtain corrected pulse signals; determining whether the partial discharge is caused by external interference or internal partial discharge based on the polarity distribution of the corrected pulse signals; if the partial discharge is caused by external interference, comparing the amplitudes of the corrected acquired signals corresponding to each bushing; the location corresponding to the current transformer with the largest amplitude is the location where the interference source was injected; and if the partial discharge is caused by internal transformer partial discharge, calculating the distance ratio from the partial discharge location to the winding head end based on the attenuation characteristics of the pulse signal propagating through the windings, combined with a pre-injected calibration square wave signal, to determine the discharge location. The present invention simplifies the method for locating transformer partial discharge, facilitates rapid identification of external interference and internal partial discharge signals, and prevents malfunction of protective devices.

The application discloses a road video event fast detection method based on edge calculation, and particularly relates to the field of computer vision and image processing, and is used for solving the motion evidence distortion problem caused by frame-level time sequence disorder and content gap in road monitoring video. The method is achieved by reading a video segment, constructing a time sequence correction graph according to interframe content similarity and boundary continuity, rearranging a corrected sequence by generating a frame consistency index, estimating a stable motion field and a continuity score on the corrected sequence, and writing back a stable image amplitude correction time anchor point. According to the stable motion field, an event evidence sequence is generated, a track breakpoint is merged according to the time sequence correction graph, backtracking revision is initiated, a candidate event segment is returned, consistency verification is performed on the candidate event, if there is a conflict, a time sequence correction graph and a stable image amplitude are revised across levels, a stable motion field is re-estimated, an output confirmed event is triggered, a trigger result is published, a mapping index is established as a new segment initialization priori, and acceleration time sequence correction and judgment convergence are achieved.

The invention discloses a near-field test calibration method for a radar cross-sectional area RCS, and the method comprises the steps: carrying out the unified modeling of the overall error of a test system into a system error, and sequentially carrying out the phase correction, distance threshold screening, low-pass filtering, amplitude correction, near-far field conversion and the like of original test data. On the basis, a cascade filtering calibration method capable of decomposing filtering layer by layer is provided and is used for accurately calibrating converted data and effectively inhibiting residual noise and disturbance signals in the data, so that high-precision reckoning amplitude and phase information is obtained. In the calibration filtering process, a cascade least mean square (LMS) algorithm is adopted, and the accuracy and stability of a near-field RCS test result are remarkably improved by inhibiting and filtering uncertain noise in a system layer by layer.