187results about How to "Improve calibration accuracy" patented technology

The application relates to the field of sanitation operation scheduling, in particular to a sanitation operation scheduling method based on the Internet of Things, which comprises the following steps: determining an iterative stop condition of a load CEEMDAN model based on time local weighted variance of load data, so as to generate vehicle load characteristics; generating vehicle oil consumption characteristics through an oil consumption CEEMDAN model based on statistical values of load data residuals and oil consumption data residuals, so as to calculate oil consumption channel residual signals; generating comprehensive vehicle carrying characteristics through a feature extraction model based on a multilayer perception machine, a gating mechanism and a cross-modal attention mechanism; and generating corrected vehicle garbage load through a long short-term memory network and a fully connected layer architecture. The application realizes efficient noise reduction and accurate decomposition of non-stationary time series data of oil consumption and load, realizes accurate processing of Internet of Things data of garbage transfer vehicles, improves the operation efficiency of the garbage transfer vehicles and reduces the operation cost.

The application belongs to the technical field of sensor calibration, and provides a sensor batch calibration method and system based on multi-vision fusion. First, all-around vision information of the sensor and the detection table is acquired. Pose estimation is performed by fusing the all-around vision information. Then, on the basis of the pose estimation, the sensor barycenter position, the grabbing point intensity and the avoidance of sensitive areas are considered, the grabbing point selection is optimized, the impedance control algorithm is used for flexible grabbing, the grabbing force size is automatically adjusted according to the sensor material and the surface friction coefficient, and the sensor lofting is realized. The problem of sensor deformation or damage caused by excessive grabbing force is avoided, the calibration demand of different specifications of sensors is realized, and the batch sensor calibration precision and efficiency are improved.

The invention provides a distance measurement method in a calibration process of a laser vision system, which belongs to the field of distance measurement, and comprises the following steps: shooting a positioning plate image with a laser point through a camera, and arranging a plurality of positioning identifiers with known world coordinates on the positioning plate; identifying a positioning identifier in the image, and acquiring a pixel coordinate of the positioning identifier; calculating a three-dimensional coordinate of the positioning identifier in a camera coordinate system; fitting a plane equation of the positioning plate in a camera coordinate system; pixel coordinates of laser points in the image are detected and extracted; converting the pixel coordinate of the laser point into a space ray equation in a camera coordinate system, and calculating an intersection point of the space ray and the plane equation to obtain a three-dimensional coordinate of the laser point in the camera coordinate system; calculating the distance from the laser point to the optical center of the camera. According to the method, all calculations are carried out in a unified camera coordinate system, alignment errors caused by non-unified coordinate systems of multiple devices are thoroughly eliminated, and the consistency of distance measurement and the overall calibration precision are improved.

The invention discloses a wafer-level test probe station environment temperature calibration method, system and device and a medium. The method comprises the steps that a heat conduction block is controlled to be placed at any test point position on the surface of a probe station tray; the detection part of the control temperature sensor is inserted into the hollow hole channel of the heat-conducting block; the probe station is controlled to be heated to a target temperature value, and temperature time sequence data are collected through a temperature sensor; when a temperature stable state is reached, calculating a temperature calibration difference value based on the temperature time sequence data; controlling each test point of the heat conduction block and the temperature sensor on the surface of the tray to obtain a temperature calibration difference value of each test point; and according to the temperature calibration difference value of each test point, determining an overall temperature calibration value and carrying out temperature calibration. According to the invention, the problems that errors are caused by small contact area in traditional contact measurement, and temperature stable nodes cannot be judged and the uniformity of a tray temperature field cannot be evaluated are solved, the temperature quantification precision and calibration accuracy of a wafer-level test environment are improved, and the reliability of a chip test result is guaranteed.

This invention discloses a calibration method, apparatus, electronic device, and storage medium for an image sensor chip. The calibration method includes: acquiring at least one frame of target image data of an optically dark area, and a digital signal reference value corresponding to the target image data; calibrating each first pixel unit according to the first image signal and digital signal reference value of the first pixel unit in the target image data to determine a reference pixel unit characterizing noise stripes; and calibrating each second pixel unit according to the reference pixel unit, based on the row or column distribution of noise stripes in the image sensor chip. This invention utilizes image data of the optically dark area to calibrate the row or column stripes of the image sensor chip, eliminating the need for calibration based on image data of the photosensitive area, reducing calibration computation, and effectively improving stripe calibration efficiency. Furthermore, calibration can be performed automatically in real time as needed, effectively improving stripe calibration accuracy.

The application discloses a kind of weak steady-state energy conservation's coal-fired boiler calorific value correction method and device, the method includes the following steps: extracting weak steady-state parameter main parameter from the real-time data of unit operation, each main parameter is filtered in time detection window and weak steady-state condition is judged, when all main parameters meet weak steady-state judgment condition during detection, the mean value of energy conservation parameter under the corresponding detection number is output;Using the mean value of energy conservation parameter carries out boiler heat balance calculation, obtains the actual fuel heat value corresponding to current unit load;Actual fuel heat value Q net.ar The ratio COR of the original design fuel heat value Q design Of unit is used as coal-fired boiler calorific value correction amount, and the fuel quantity of unit is adjusted by coal-fired boiler calorific value correction amount;The application has the advantages that: avoid system repeated oscillation, improve calorific value correction precision.

This invention discloses a calibration method and device for a spectroscopic laser-induced phosphorescence imaging system. The calibration method includes: selecting a homogenizing plate as a standard light source and placing the emitting surface of the homogenizing plate at the focal plane of the imaging system; setting the acquisition frequency, total acquisition time, and N different exposure times, and acquiring N sets of grayscale images obtained by the imaging system under different exposure times; averaging the pixel values ​​of the N sets of grayscale images to obtain the image grayscale matrix of each set of grayscale images; performing linear fitting using the least squares method on the set of grayscale matrices under the N exposure times to obtain the bias correction matrix and gain correction matrix; and correcting the original response grayscale matrix obtained under the test state based on the obtained bias correction matrix and gain correction matrix.

The application discloses a kind of calibration devices for strapdown inertial measurement unit, solve the technical problems of the prior art, such as large size and weight of calibration tool, poor stability, which affects the final test accuracy, and the need to replace the turntable with larger volume and load for overturning calibration, leading to increased resource costs, comprising a calibration bracket, four calibration bracket package angles and a positioning locking device.The calibration bracket is fixedly connected to the inertial measurement unit body through the positioning locking device.The calibration bracket is fixed on the inertial measurement unit body through the positioning locking device, achieving miniaturization design, reducing the weight of the calibration device by about 90%, reducing the volume by about 40%, and greatly saving the resource cost and labor cost of strapdown inertial measurement unit calibration work.

The present disclosure provides a kind of calibration method, device, equipment, medium and product for telecentric camera.The present disclosure relates to the field of optical measurement, and the calibration method for telecentric camera includes: based on the multiple calibration images obtained by using the telecentric camera to be calibrated to calibrate board image acquisition, using beam adjustment method determines the initial calibration parameter of telecentric camera to be calibrated;The three-dimensional reconstruction is carried out to the calibration board using initial calibration parameter, and the initial reconstruction coordinates of multiple calibration points on the calibration board in world coordinate system are obtained;Based on the absolute coordinates of multiple calibration points in world coordinate system and initial reconstruction coordinates, the initial reconstruction deviation of multiple calibration points is determined;With initial reconstruction deviation as initial value, with minimizing the coordinate deviation and distance deviation of multiple calibration points as target, the initial calibration parameter is optimized using nonlinear optimization method, and the target calibration parameter of telecentric camera to be calibrated is obtained.

The utility model provides a confocal microscopic Raman spectrometer wave number correction device, and belongs to the technical field of Raman spectrum detection. The correction device comprises a laser used for emitting laser; the lens assembly comprises a plurality of lenses, and the lens assembly is used for collimating and focusing the laser; the reflector assembly comprises a plurality of reflectors, the plurality of lenses and the plurality of reflectors are alternately arranged, and the reflector assembly is used for adjusting the light path direction of the laser; the attenuation sheet is arranged on a reflection light path in the reflector assembly and is used for attenuating the energy of the laser; the slit is arranged at a confocal position in the lens assembly, and the slit is used for screening Rayleigh scattering light in the attenuated laser; wherein the reflector assembly reflects the Rayleigh scattering light to the rotating grating assembly in the spectrometer. The correction device realizes a convenient and fast calibration process, and improves the calibration precision.

The utility model discloses a calibration mechanism for a wide-range torquemeter, which comprises a calibration arm connected with the torquemeter and used for transmitting and applying torque; the gradienter is arranged on the calibration arm and used for monitoring whether the calibration arm is in a horizontal state or not; the speed reducer is connected with the calibration arm through a force sensor, and the speed reducer provides power for vertical linear motion; one end of the first rotating connecting rod is movably connected with an output shaft of the speed reducer, and the other end of the first rotating connecting rod is connected with one end of the force sensor; one end of the second rotating connecting rod is connected with the other end of the force sensor, and the other end of the second rotating connecting rod is movably connected with one end of the calibration arm; through the above mode, the calibration error can be reduced, the operation difficulty in the calibration process can be reduced, the use of weights can be avoided, the calibration efficiency can be improved, and the calibration device can be suitable for the calibration of a wide-range torquemeter.

This invention belongs to the fields of water environment monitoring, watershed pollution simulation, and smart water management. Specifically, it provides an integrated air-space-ground small watershed water pollution monitoring system, comprising: an airborne monitoring module for collecting spatial distribution data of water quality across the entire small watershed; a ground-based monitoring module for collecting continuous temporal water quality and hydrological baseline data of the small watershed; a multi-source data management module for data processing; a model engine module for constructing and running a distributed hydrological and water quality mechanism model of the small watershed; an adaptive parameter optimization module for automatically calibrating and dynamically updating the parameters of the distributed hydrological and water quality mechanism model of the small watershed; an early warning and source tracing module for obtaining early warning and source tracing results; a long-term prediction module for obtaining water quality prediction results; and a visualization decision module for displaying early warning and source tracing results as well as water quality prediction results. This invention realizes the monitoring, early warning, source tracing, and long-term prediction of water pollution in small watersheds.

The application provides a high-precision camera calibration method and system based on multi-modal feature fusion and a medium. The method comprises the following steps: selecting a calibration board with known three-dimensional coordinates, placing the calibration board at different positions and angles of a camera, shooting multiple groups of images, and pre-processing the multiple groups of shot images to obtain image data and point cloud data; extracting two-dimensional coordinates of circular mark points of the calibration board and phase information of each pixel point based on the image data, and obtaining three-dimensional coordinates of the circular mark points based on the point cloud data; generating geometric features based on the two-dimensional coordinates of the circular mark points, generating phase features based on the phase information, constructing a multi-parameter projection model, projecting the three-dimensional coordinates based on the multi-parameter projection model, and synchronously adjusting internal and external parameters of the camera by using a bundle adjustment optimization algorithm; and obtaining the geometric features and the phase features in the images through the calibration board, so that the projection distortion information is accurately analyzed, and the camera calibration precision is improved.

The invention provides an automatic calibration method and device for a detector tester, electronic equipment and a medium, and relates to the field of calibration measurement test.The initial moment T0 of a detector for obtaining a damped oscillation signal is obtained through the detector tester, and the method comprises the steps that i-M, i-M + 1 and i-M + 2 are obtained, and sample point signals x [i-M], x [i-M + 1], x [i-M + 2]... x [i] corresponding to the moment i are obtained, and calculating a filtered signal y [i-1] through a formula, when x [i] is greater than G * y [i-1] and G is a multiple of a threshold coefficient, determining a starting moment T0 of a damped oscillation signal, obtaining a damping coefficient, a natural frequency and sensitivity based on T0, and automatically calibrating a detector tester based on the damping coefficient, the natural frequency and the sensitivity. According to the method, the detector tester is automatically calibrated, complicated operation of calibration personnel is avoided, and the calibration precision and the calibration efficiency are improved.

The invention discloses a structured light camera calibration method and device, electronic equipment, a storage medium and a product. Relates to the technical field of image processing. The method comprises the steps that a calibration plate is moved to different positions, calibration plate images of all the positions are obtained, all identification points in the calibration plate correspond to a circle of a first radius and a circle or concentric circle of a second radius, and the first radius is larger than the second radius; determining circle center coordinates of the feature points in the calibration plate according to the calibration plate image at each position; performing stereoscopic vision calibration according to the circle center coordinates to obtain camera parameters; and if the error between the projection point obtained based on the camera parameters and the circle center coordinate meets the requirement, the structured light camera calibration is completed. According to the scheme, a checkerboard calibration board is upgraded into a composite calibration board composed of circles and concentric circles of different sizes, stereoscopic vision calibration is carried out through the feature points, the calibration result is verified based on the projection points, light spot interference can be reduced, errors can be reduced, and the robustness and calibration precision of the calibration process are improved.

This invention discloses a fully automated atmospheric and topographic radiometric correction method and device for high-resolution remote sensing imagery, belonging to the field of remote sensing science and technology. The method includes: constructing a fully automated batch processing framework; developing an atmospheric correction module based on the 6S radiative transfer model to automatically retrieve atmospheric parameters and eliminate their influence; and developing a topographic radiometric correction module based on the digital elevation model (DEM) and VECA model to compensate for radiometric distortion caused by complex terrain. The key innovation lies in constructing a joint correction framework and integrating a geomorphic feature recognition algorithm, which can automatically identify and select to execute either single atmospheric correction or a combined atmospheric-topographic correction process based on the degree of topographic relief in the image. This invention achieves fully automated batch processing from data input to result output, requiring no manual intervention, significantly improving the processing efficiency, intelligence level, and adaptability to different terrain scenarios in high-resolution image radiometric correction.

The invention discloses a light plane high-precision rapid calibration method and system for multi-line structured light, and belongs to the technical field of structured light three-dimensional measurement, and the method comprises the steps: obtaining camera parameters in a to-be-calibrated multi-line structured light system; wherein the camera parameters comprise an internal parameter matrix, a distortion coefficient matrix and an external parameter matrix of a camera; selecting a main laser ray; wherein the main laser line is any laser line in a to-be-calibrated multi-line structured light system; based on the camera parameters, a light plane equation of a main laser ray is obtained through fitting solution; and calculating a light plane equation of each laser line except the main laser line in the to-be-calibrated multi-line structured light system based on the light plane equation of the main laser line by utilizing a fixed parallel relationship among the laser lines. According to the scheme, the calibration efficiency can be greatly improved, the light plane parallelism is ensured, personal errors are reduced, and the method is suitable for industrial field rapid deployment.

The application discloses a converter station valve side sleeve pipe resistance divider self-calibration method and system, relates to the technical field of resistance divider self-calibration, and comprises the following steps: configuring a sensor, and collecting resistance divider data; a model of the relationship between the resistance value of the valve side sleeve pipe resistance divider and measurement error is established; the output resistance data is input into an optimized IABC algorithm, and iterative search is performed according to the model and the input data to determine the optimal resistance value setting and realize the predetermined calibration target. The converter station valve side sleeve pipe resistance divider self-calibration method provided by the application considers the interactive effect of voltage and temperature, considers the influence of the actual working environment on the resistance, and selects the optimal resistance under the actual working state. The IABC algorithm improves the efficiency and precision of calibration by simulating the behavior of bees searching for food and the judgment of collective fitness, so that the resistance divider can be automatically adjusted to the optimal state under different conditions, and the stable operation of the converter station is ensured.

The problem of the present invention is to provide a battery pack that improves the SOC estimation accuracy of battery cells. To solve the above problem, the battery pack includes a storage unit that stores the following (A1) and (A2) and a battery state estimation unit. (A1) OCV versus SOC characteristic diagram (A2) HF versus SOC initial characteristic The battery state estimation unit estimates the initial SOC corresponding to the detected OCV according to (A1) at the start of charging, measures the current HF versus SOC characteristic during charging, senses the peak value of the differential characteristic of the measured current HF versus SOC characteristic, calculates the sensed peak SOC as SOC(HF) according to (A2), calculates the charging capacity from the start of charging to the peak sensing time according to the detected charging current and charging time, calculates SOC(OCV) according to the calculated charging capacity and the estimated initial SOC at the start of charging, and corrects (A1) if SOC(OCV) deviates from SOC(HF) by a predetermined value or more.

The application provides a biomimetic robot dexterous hand tactile calibration method, device and equipment, through adopting closed cavity precise limiting clamping and full-coated flexible air bag self-adaptive curved surface uniform pressure fitting, multi-stage gradient air pressure steady-state pressure control and full-channel synchronous data acquisition, single-channel independent quadratic polynomial fitting and closed-loop error checking, the problems that the existing rigid calibration method cannot adapt to the special-shaped curved surface sensor of the dexterous hand, there are many blind areas in calibration, the pressure distribution of the sensor is uneven, the flexible sensing structure is easy to be damaged, the calibration error is large, the pressure control precision is low, the multi-channel calibration consistency is poor, and the global calibration efficiency is extremely low are solved, the standardized precise calibration of the biomimetic robot dexterous hand five fingers is realized, the calibration benchmark of all sensing channels is effectively unified, the multi-channel data dispersion is reduced, and the calibration precision and mass production calibration efficiency of the flexible curved surface tactile sensor are improved.

Embodiments of the present disclosure provide a zero point calibration method, device, equipment and medium for a pipe cutting machine. The method comprises the following steps: determining a plurality of to-be-calibrated supporting shafts in the pipe cutting machine, a basic zero point position of each supporting shaft, and a torque determination value; determining a calibration zero point position of each supporting shaft according to the basic zero point position and the torque determination value of each supporting shaft in a preset calibration sequence; determining a zero point offset value of each supporting shaft according to the basic zero point position and the calibration zero point position of each supporting shaft, and calibrating each supporting shaft in a numerical control system according to the zero point offset value. The zero point offset value of each supporting shaft is automatically determined according to the torque feedback of each supporting shaft, so that each supporting shaft is calibrated according to the zero point offset value, and each supporting shaft can be kept on the same horizontal plane during work. The problem of manual debugging and error checking in the prior art is solved, and the zero point calibration efficiency of the supporting shaft of the pipe cutting machine is effectively improved.

This application relates to the field of medical device technology, and provides a calibration device for a pressure guidewire, including a vascular simulation circuit and a pressure testing device. The vascular simulation circuit includes a connecting pipe, and a pump and a control valve connected sequentially through the connecting pipe. A biomimetic solution is placed inside the connecting pipe, and the pump provides power to drive the biomimetic solution to circulate. The pressure testing device is connected to the connecting pipe and has a head end for acquiring the liquid pressure in the connecting pipe. The control valve includes a main pipe and a first branch pipe and a second branch pipe respectively disposed on the main pipe. The connecting pipe includes a first pipe and a second pipe. One end of the first pipe is connected to the pump and the other end is connected to the second branch pipe. One end of the second pipe is connected to the pump and the other end is connected to the main pipe. The second branch pipe is used for inserting the pressure guidewire to be tested. The vascular simulation circuit simulates the real human intervention environment, reduces the influence of environmental errors, and improves calibration accuracy.

The application discloses a kind of arbitrary multiport S parameter calibration and de-embedding method, belong to multiport calibration field.Method includes: using network analyzer respectively on interpolation after S parameter data base of calibration piece each single-port measurement, error term of each single-port is solved;Using network analyzer respectively on calibration piece multiport measurement, determine the arbitrary multiport S parameter measurement data of switch item and isolation item correction completion;Based on the multiport error of target through path generated by radiation, and using the multiport error of target through path, the multiport error of other path outside target through path is completed, to combine the error term of each single-port to the arbitrary multiport S parameter measurement data of switch item and isolation item correction completion is calibrated and de-embedded, and the multiport calibrated S parameter matrix is obtained.This scheme can improve calibration accuracy and calculation efficiency.

The invention belongs to the technical field of lithium batteries, and particularly relates to a module structure reliability checking method for cell expansion. Comprising the following steps: S101, acquiring cyclic expansion force data of a battery cell group; s102, processing the cyclic expansion force data and extracting characteristic values in sections; s103, establishing a simulation model and calculating an initial state; s104, calculating the stress state of the module in stages; and S105, calculating and checking fatigue damage. According to the method, the expansion force change curve under the real working condition is obtained by implementing the multi-cell cyclic expansion experiment, the maximum expansion force and the minimum expansion force are extracted in a segmented mode based on the curve, and the fatigue damage accumulated value of the structural part under the alternating load is calculated in a segmented mode in combination with the simulation model. Therefore, accurate and efficient checking of the structural reliability of the battery module in the whole life cycle is realized.

The application discloses a kind of modular configurable tooling detection methods, belong to tooling detection field, specifically include: module configuration step, automatic detection step, detection result processing step.Before detection, detection group leader configures detection hardware according to detection plan, software platform.When the unit to be detected is placed in the area to be detected, detection personnel start main control machine, and start automatic detection process according to the configuration parameters of detection scheme module, detection strategy module and detection alarm module after authentication.After detection, whether the detection data is entered into database according to the parameters configured by data analysis module is processed by main control software;Whether detection report is saved or printed;The application is adapted to the detection needs of the unit to be detected constantly upgrading iteration by the modularization and configurability of detection hardware and software platform, and the problem that error reproduction is difficult, error chain is deep and difficult to locate is solved by error tracing module.

The utility model discloses a circuit for automatically calibrating pressure sensors in batches. The circuit comprises an MCU main control circuit, a data acquisition circuit and a plurality of output selection circuits. The MCU main control circuit is used for executing a program instruction stored in the memory, processing an input signal and controlling external equipment through an output signal; the data acquisition circuit is electrically connected with the MCU main control circuit, converts an analog signal into a digital signal, acquires and processes the digital signal, and transmits the digital signal to the MCU main control circuit; the input ends of the multiple output selection circuits are electrically connected with the MCU main control circuit, the output ends of the multiple output selection circuits are connected with the sensors, and the MCU main control circuit controls output lines of the multiple output selection circuits so as to calibrate the pressure sensors. The circuit for automatically calibrating the pressure sensors in batches can calibrate the sensors in high precision, eliminates personal errors through digital control, improves calibration precision, and is high in batch calibration efficiency.

The utility model discloses an engineering equipment calibration tool convenient to disassemble and assemble, and relates to the technical field of engineering equipment. The engineering equipment calibration tool convenient to disassemble and assemble comprises a frame body, a movable frame is arranged on the frame body, a limiting groove is formed in the movable frame, a sensor is arranged on the movable frame, the sensor is located in the limiting groove, one end of the movable frame is in threaded connection with a threaded rod, the threaded rod extends into the movable frame, and a limiting mechanism is arranged between the movable frame and the sensor. Through the limiting mechanism, the sensor is limited and fixed, the tool can adapt to limitation of different sensors with the same size and model, the universality and flexibility of the tool are improved, workers can conveniently and rapidly install and disassemble the tool, and the influence on calibration efficiency is reduced.

The application discloses a kind of intelligent automobile vehicle-mounted inertial navigation system calibration device, belongs to inertial navigation technical field, including test frame, the test frame side fixed installation has test with sensing equipment, the test frame inner chamber bottom four corners are all fixedly connected with support leg, the test frame inner chamber fixed installation has test track.The navigation calibration car body can be moved upward under the limiting effect of one side ramp plate and fall into the curved part of test track, and enter into lateral track mechanism under the extension abutment effect of rear track arc part, the reciprocating rotary motion of navigation calibration car body in test track curved part and staggered track main body, so that the reciprocating turning motion of navigation calibration car body in test track curved part and staggered track main body is simulated to turn, improve the simulation effect of navigation calibration car body in different calibration conditions under indoor condition, meet the adjustable of navigation system calibration.

The application discloses a suspended ceiling profile calibration welding equipment and relates to the technical field of welding. The equipment comprises a welding mechanism, a feeding mechanism and a calibration mechanism. The welding mechanism and the feeding mechanism are installed on a rack. The welding mechanism, the feeding mechanism and the calibration mechanism are in electrical communication with a control system circuit. The calibration mechanism comprises a pair of traction assemblies and a calibration circuit. The pair of traction assemblies are symmetrically arranged in the rack. Each traction assembly comprises a steel cable, a winding machine and a support machine. The steel cable is connected between the winding machine and the support machine. The support machine is arranged outside the rack. The calibration circuit comprises a pair of sliding variable resistance elements. The pair of sliding variable resistance elements are respectively arranged in the pair of winding machines. The feeding mechanism and the welding mechanism work cooperatively to realize automatic feeding, positioning and peripheral welding. An operator only needs to simply control to complete a plurality of welding, thereby guaranteeing uniform and consistent welding seams, improving welding speed and product quality and being applicable to batch and on-site rapid construction requirements.

The application provides a direct current offset correction circuit based on a lookup table, a zero intermediate frequency receiver and a direct current offset correction method based on a lookup table. The direct current offset correction circuit based on a lookup table comprises a storage module, an analog coarse correction module and a digital fine correction module. In the receiving channel of the zero intermediate frequency receiver, the analog coarse correction module is used to perform analog coarse correction on the direct current offset in the analog signal, and the digital fine correction module is used to perform digital fine correction on the direct current offset in the digital signal. The analog intermediate frequency correction and the digital baseband correction are considered, and the correction precision of the direct current offset is improved. Meanwhile, the direct current offset correction lookup tables generated by radio frequency and intermediate frequency devices are separately established. During correction, indexing and operation are performed based on the analog coarse correction module and the digital fine correction module. Only a small number of calculation input correction parameters need to be saved, the total capacity of the lookup table is reduced, and the storage load of the storage module is reduced.