249 results about "Pulse parameter" patented technology

A tracking and adaptive compensation method for power fluctuation of a pulse load of a ship is provided. The method includes: based on a microgrid topology model of the ship, a pulse load model of the pulse load, and an interharmonic power and pulse parameter relationship model, performing power fluctuation tracking, frequency selection and a power spectrum analysis to obtain filtering parameters of a low-pass filter and filtering parameters of a band-pass filter; performing waveform adaptation to eliminate a phase delay caused by the low-pass filter and the band-pass filter, and obtaining a control command for a power compensation strategy; and generating, by a power loop, a pulse width modulation (PWM) signal to control a switching tube in a bidirectional direct current (DC) / DC converter of each of an energy storage battery pack and a supercapacitor of a hybrid energy storage system.

The patent application describes an adaptable neuromodulation device for transcranial electrical brain stimulation. The system can generate complex poly-modulated waveforms by combining multiple pulse parameters in a randomized manner across dimensions like amplitude, frequency, phase, timing, and polarity. It leverages both digital and analog modulation techniques for waveform versatility. The device features pathway optimization algorithms that tune stimulation using neural feedback data to target specific brain region shapes with greater precision. It also enables closed-loop operation for responsiveness to physiological changes. The application details the mathematical and computational foundations, spanning graph theory to generate digital twins. It highlights applications from cognitive enhancement to seizure control. Overall, the innovation promises versatility and precision in non-invasive neuromodulation through adaptable, optimized waveforms grounded in sophisticated modeling.

The invention provides a double-pulse high-frequency switching power supply control method and system for precise electroplating, and relates to the field of electroplating, and the method comprises the steps: collecting area surface data through a three-dimensional scanner, and obtaining a three-dimensional model; extracting a high-curvature area grid according to the three-dimensional model, and calculating to obtain a surface concave-convex degree index; performing current field simulation, and calculating current density vector distribution; when the deviation of the current density vector distribution exceeds a preset deviation threshold value, pulse parameters are optimized through a genetic algorithm; selecting a pulse parameter which is most matched with the surface concave-convex degree index, and carrying out iterative calculation to obtain updated current density vector distribution; based on the difference between the updated current density vector distribution and the initial distribution, predicting a coating thickness value, and determining a preliminary evaluation index; and optimizing pulse parameters to obtain a final control scheme of uniform current distribution. According to the method, pulse parameters can be dynamically optimized according to the geometrical shape of the workpiece, and uniform current distribution and stable plating quality are realized.

The invention discloses a control method and system of an automatic dispenser, and relates to the technical field of automatic control, and the control method comprises the following steps: collecting and preprocessing a dielectric loss factor and a temperature change rate of glue, calculating the dynamic viscosity, the shear temperature rise and the phase change rate of the glue through a time-frequency conjoint analysis method, and generating a phase change parameter matrix; inputting the phase change parameter matrix into a soliton kinetic model, obtaining a soliton waveform of the colloid under a nonlinear effect and a dissipation effect, optimizing the soliton waveform in combination with real-time viscosity, generating a pulse parameter and a dispersion compensation coefficient, and forming a soliton driving instruction set; loading the soliton driving instruction set to an FPGA (Field Programmable Gate Array) controller of the electric valve, generating a high-voltage pulse waveform, executing high-precision dispensing, monitoring a jet waveform and carrying out dynamic calibration; according to the method, the waveform is optimized through the soliton kinetic model and the step-by-step Fourier method, and accurate balance between the colloid dissipation effect and the nonlinear effect is achieved.

The invention provides an acupoint positioning and electric pulse regulation and control device and method based on electrical impedance feedback, and the device comprises a bioelectrical impedance detection module which is provided with a flexible wearing hardware part, and the flexible wearing hardware part is provided with an electrode for collecting a skin electrical impedance signal, the bioelectrical impedance detection module determines a target acupuncture point area for placing an electrode according to the electrical impedance signal; the initial pulse output module is used for outputting a preset initial electric pulse signal to an electrode of the flexible wearing hardware part; the dynamic cooperative control module is used for adjusting an electric pulse parameter according to a real-time skin electrical impedance signal acquired by the electrode after the initial electric pulse signal is applied to the target acupuncture point area through the electrode; the electric pulse output module outputs electric pulse signals to an electrode according to the adjusted electric pulse parameters, acupuncture points can be accurately positioned, the electric pulse output parameters can be accurately adjusted, stimulation output is dynamically optimized through a feedback mechanism under the condition that the skin state of a patient changes or the characteristics of the acupuncture points are different, and the treatment effect and the comfort of the patient are improved.

A method of double-contrast magnetic resonance fingerprinting including: optimizing, using Cramér-Rao lower bound (CRLB) via a computer system, radiofrequency (RF) pulse parameters in an MRF sequence; loading, via the computer system, the RF pulse parameters optimized into an MRI scanner; and capturing raw k-space data by selecting different signal contrast modules for dual-contrast encoding at varying repetition times (TR); reconstructing, via the computer system, at least one image including a plurality of pixels; defining, via the computer system, a dynamic range and step size for tissue parameters; and creating, via the computer system, a dictionary based on Bloch equations, the dynamic range, and the step size; and comparing, via the computer system, signal evolution for each of the plurality of pixels in the at least one image to the dictionary to determine quantitative parameters for each of the plurality of pixels, and generating a quantitative parameter map.

The invention relates to the technical field of radar waveform optimization, in particular to a synthetic broadband waveform optimization method based on reinforcement learning. According to the method, a deep reinforcement learning framework is adopted, and end-to-end optimization is carried out on the center frequency and amplitude parameters of multiple sub-pulses. The method comprises the following steps: constructing a synthetic broadband waveform signal model, and parameterizing sub-waveforms to determine a search space of an optimization problem; converting a waveform optimization problem into a reinforcement learning form, and defining a state space, an action space, a reward function and a state transition mechanism; based on a deterministic soft action value iteration strategy algorithm, point spread function features are extracted in combination with a Transform encoder, and sub-pulse parameters are dynamically adjusted. Through the method, the main lobe resolution can be effectively suppressed and improved, the target detection performance of a radar system is improved, and the method has good global optimization capability and environmental adaptability and is suitable for cognitive radar and adaptive waveform design scenes.

The invention discloses a direct current B code wave recording alarm analysis device and method based on an FPGA, and relates to the technical field of power system automation and signal analysis, and the device comprises an FPGA collection module which is used for collecting a TTL level signal of a direct current B code in real time at a preset sampling frequency, recording a high-precision timestamp of each sampling point, and carrying out the subsequent pulse parameter calculation; the pulse width measurement module is connected with the FPGA acquisition module, is used for calculating the pulse width of the current pulse based on the rising edge timestamp and the falling edge timestamp of the signal, triggering a wave recording module, and is used for starting wave recording operation when the pulse width is detected to exceed a preset threshold range or abnormity occurs for a plurality of times continuously; collecting complete waveform data before and after the fault; the DC B code wave recording alarm analysis device and method based on the FPGA improve the intelligent level, response speed and fault visualization capability of a B code monitoring system, and are especially suitable for high-reliability monitoring and management scenes of key synchronization signals in a DC system.

The invention provides a wake flow redirection control method and system based on cabin type laser radar prediction, and relates to the technical field of laser radar remote sensing detection, and the method comprises the steps: obtaining first wake flow propagation path data of a target unit at different spatial positions and first wake flow speed data of different time points through a cabin type laser radar; performing correlation analysis on the first wake flow propagation path data, the first wake flow speed data and a preset unit wake flow speed attenuation coefficient to obtain a correlation analysis result; obtaining a wake flow prediction result based on the first wake flow propagation path data and the correlation analysis result; obtaining wake flow redirection control demand data based on a preset wake flow control target and the calibrated first wake flow speed data; converting the pulse parameter into a pulse control signal based on wake flow redirection control demand data; based on the pulse control signal, accurate redirection control over the wake flow of the wind turbine generator is achieved, cross interference of the wake flow is reduced, and the overall power generation efficiency of a wind power plant is improved.

The invention discloses a pulse electrochemical reactor control method for treating complex water in an oil and gas field, which is applied to a control system comprising a pulse power supply, a pulse electrochemical reactor and a controller, an electrode system is arranged in the pulse electrochemical reactor, and during the operation period of the pulse electrochemical reactor, the pulse electrochemical reactor is connected with the controller. Periodically interrupting the treatment pulse applied to the electrode system, controlling the pulse power supply to apply a preset alternating current disturbance signal to the electrode system, and collecting an electrochemical response signal fed back by the electrode system; based on the parameters of the alternating current disturbance signal and the parameters of the electrochemical response signal. By monitoring the electrochemical state of an electrode interface in real time and dynamically adjusting pulse parameters and adaptive water quality changes, efficient and stable operation of the reactor is realized; the technical problems of dynamic response lag, insufficient control precision and shortened equipment service life caused by static parameter setting in a pulse electrochemical reactor control method in the prior art are effectively solved.

The invention discloses an anesthesia process real-time data acquisition and analysis system, which relates to the technical field of medical detection and comprises a data acquisition module, a transmission module, an analysis module, a display module and a warning module, the data acquisition module comprises various sensors and a pulse monitoring unit and is used for acquiring physiological parameters and pulse conditions of a patient in an anesthesia process; the transmission module transmits the physiological parameters and the pulse conditions which are collected in real time into the analysis module; and the analysis module analyzes the physiological parameters acquired by the patient based on a linear regression model, analyzes the pulse condition, and comprehensively analyzes and judges whether the patient is in a safe anesthesia state in the anesthesia process in combination with the physiological parameters and the pulse parameters of the patient. According to the method, anesthesia hidden dangers of a patient can be found in time through analysis, an early warning signal is provided for a doctor, the doctor can take measures in advance for adjustment, the safety of the patient is guaranteed, real-time analysis and early warning are achieved, and judgment and decision making are provided for the anesthetist.

The present application relates to a kind of respiratory synchronous diaphragm nerve electric stimulator in vitro, belong to medical equipment technical field.The technical scheme of a kind of diaphragm nerve electric stimulation based on real-time breathing signal synchronization trigger is proposed for the problems of high weaning failure rate and quality of life decline caused by VIDD.The technical scheme points include: detecting inspiration negative pressure signal through nasal cavity air pressure sampling tube, control unit dynamically adjusts trigger threshold according to negative pressure signal, when negative pressure is lower than preset value and waveform slope meets the standard, trigger electric stimulation module to output biphasic pulse, pulse parameters include positive and negative alternating waveform, width 0.1ms to 1ms, frequency 10Hz to 50Hz and current intensity 5mA to 30mA, and strictly limit electric stimulation to be only output in inspiration cycle, and expiration cycle is completely blocked stimulation by hardware switch circuit.It is mainly suitable for intensive care and rehabilitation therapy scene, effectively prevent and treat VIDD, improve patient weaning success rate and quality of life.

The invention discloses a radar working mode recognition method and system based on a graph neural network, and relates to the related technical field of radar signal processing, and the method comprises the steps: carrying out the pulse arrival time detection of a received radar signal, and constructing a pulse parameter set; extracting a multi-dimensional pulse feature vector; constructing a pulse parameter similarity graph; inputting into a multi-relation graph neural network to execute graph feature aggregation, and outputting a high-dimensional embedding representation of each pulse node; dividing the high-dimensional embedding representation into N time sub-blocks based on a pulse time sequence, and executing weighted aggregation of graph embedding pooling results; and performing confidence identification according to global pulse sequence embedding, and outputting a working mode identification result. The technical problems of insufficient multi-mode radar signal classification precision and poor working mode recognition accuracy caused by difficulty in effective modeling of inter-pulse relevance and insufficient anti-interference capability in the prior art are solved, and the technical effect of improving the multi-mode radar signal classification precision and the working mode recognition accuracy is achieved.

The invention relates to the technical field of display driving, and discloses a self-adaptive refresh rate method and system for display driving, and the method comprises the steps: carrying out the charge distribution data collection of pixel points of an OLED display screen, and obtaining first pixel charge distribution data; performing differential compensation parameter calculation on the driving circuit to obtain a micro compensation pulse parameter; applying the micro-compensation pulse parameter to a driving circuit and collecting second pixel charge distribution data; executing pixel aging rate matching to obtain an initial pixel driving signal; and performing content perception analysis on the initial pixel driving signal, identifying a static display area, and performing periodic micro-offset processing on the static display area to obtain a target pixel driving signal, thereby solving the problem of inaccurate description of charge accumulation characteristics in the prior art, optimizing a compensation strategy on the premise of ensuring an anti-burn-in effect, and improving the image quality. Extra power consumption is controlled at a low level, and power saving and burn-in prevention under a low refresh rate are realized.

The invention relates to the technical field of magnetic shielding, and provides a demagnetization method and device for a magnetic shielding device, electronic equipment and a readable storage medium, and the method comprises the steps: collecting a feedback circuit signal of a target magnetic shielding device through a voltage and current collection unit; analyzing the feedback circuit signal by using a signal acquisition processor, determining the current degaussing demand of the target magnetic shielding device, and calculating a degaussing pulse parameter matched with the current degaussing demand; a pulse generating unit is used for generating a target pulse with the adjustable pulse width according to the degaussing pulse parameters, the target pulse is a bipolar square wave pulse, and the adjusting interval of the pulse width comprises the millisecond level and the nanosecond level; and utilizing a pulse switching unit to act the target pulse on the target magnetic shielding device, so that the target magnetic shielding device is subjected to magnetic saturation or magnetic fading. According to the technical scheme provided by one or more embodiments of the invention, the average power demand of the degaussing power supply can be reduced, and the degaussing effect can be improved.

The invention discloses a tube well lid or rod line vibration signal space-time validity verification receiving system. The system comprises an acquisition scheduling module, an emission control module, a spectral line fusion module, a feature analysis module, a parameter optimization module and an alarm storage module. The acquisition scheduling module is used for synchronously acquiring well lid or rod line vibration signals and strain temperature signals through an optical fiber sensing link; the emission control module dynamically adjusts pulse parameters according to strain temperature distribution and emits a detection signal; the spectral line fusion module carries out fusion processing on the vibration and strain temperature signals, inhibits interference and generates high-precision vibration data; the feature analysis module extracts time and space features to generate a validity event; the parameter optimization module automatically adjusts detection parameters according to event characteristics and historical errors; and the alarm storage module stores and outputs alarm data including the well lid or rod road position, the vibration intensity, the temperature change and the confidence coefficient to the monitoring platform, thereby realizing accurate monitoring and low false alarm identification of well lid or rod road abnormity.

The invention discloses an energy storage black-start load identification method based on dynamic response and related equipment, and aims to solve the technical problem of high secondary collapse risk of a system caused by blind closing and power transmission of an unknown load in an energy storage black-start process in the prior art. According to the method, before formal switching-on power transmission, customized safety test pulses are generated through a pulse parameter model according to physical parameters of a power line, and dynamic response signals of loads are collected and analyzed, so that prospective recognition of the health states of the loads is achieved. According to the method, the load recovery in the energy storage black start is changed from blind closing to a controllable process of first diagnosis and then power transmission, so that the risk of secondary collapse of the system due to fault load access is fundamentally reduced.

The invention discloses a data error rate reduction method for a memory, and relates to the technical field of memorizers, the method comprises the following steps: classifying a single event causal chain into three types of error codes of a physical degradation type, a crosstalk type and an environmental interference type, and screening a core feature subset through frequency statistics and mutual information analysis; utilizing the sparse feature capsule network to predict the bit error rate, generating a pulse parameter dynamic model in combination with the two-dimensional emergency degree matrix, and adjusting the pulse amplitude and width; and delimiting an error code field through physical connection relevance, and implementing dual-stage repair. According to the method, accurate error code classification, dynamic feature screening and targeted repair are realized, and the reliability of the memory is improved.

The invention discloses a method and system for testing electromagnetic radiation characteristics of an IGBT module for a converter valve, and the method comprises the steps: selecting an inductive load connection mode according to the position of an IGBT to be tested during testing: testing an upper IGBT, and connecting the two ends of an inductive load with a first wiring terminal and a second wiring terminal (the first wiring terminal is a neutral point between the upper IGBT and a lower IGBT) of the converter valve; and when the lower tube IGBT is tested, the first wiring terminal and the positive terminal of the bus capacitor are connected. A combined electromagnetic field probe is arranged around the IGBT to be detected, a probe shell is grounded, and a lead is connected with a signal conversion device. Firstly, a bus capacitor is charged to a stable voltage, and environmental background noise is collected by a probe when no gate pole is triggered. And pulse parameters are set by the upper computer and are sent to the driving board through the optical fiber to trigger the IGBT double-pulse action. Electric signals output by the probe are converted into optical signals through the photoelectric converter and transmitted to external equipment through the optical fiber to be restored. And subtracting background noise from a double-pulse measurement result, extracting a net radiation electromagnetic signal, and separating electromagnetic interference signals in different processes according to the switching time of the IGBT. The invention aims to accurately measure the radiation electromagnetic interference signal of the IGBT in the converter valve module in the switching-on, switching-off and diode follow current processes, and provides a basis for the electromagnetic compatibility design and shielding reinforcement of the converter valve module.

The invention discloses a nanosecond steep pulse excitation system and a nanosecond steep pulse excitation method. The nanosecond steep pulse excitation system comprises a high-voltage pulse generation module, a controller, an impedance detection module and a treatment electrode, the high-voltage pulse generation module is used for receiving a control signal monitored by the controller and outputting a high-voltage pulse to the treatment electrode; the impedance detection module comprises a measuring electrode, tissue impedance data are collected through the measuring electrode, and the impedance data are dynamically fed back to the controller; the controller dynamically adjusts parameters of the high-voltage pulse generation module according to impedance data to form closed-loop control, the Marx circuit is optimized, the high-voltage pulse generation efficiency is high, nanosecond-level accurate triggering is achieved through embedded control, effective deposition of high-frequency energy is ensured, transient voltage spikes are reduced, impedance changes are detected in real time through the impedance detection module, and the control precision is improved. The pulse width or amplitude is dynamically adjusted, pulse parameters are adjusted in real time based on impedance changes, and excessive ablation or insufficient treatment is avoided.

The invention relates to a control method and device of perfusion equipment, a controller and an endoscope system. According to the method, firstly, a composite pulse signal is obtained, the composite pulse signal comprises at least two different pulse signals, and at least one of pulse parameters corresponding to the two different pulse signals is different. And then perfusion control information is determined according to the composite pulse signal. And finally, controlling the perfusion equipment to adjust the perfusion flow of the perfusion equipment according to the perfusion control information. Thus, targeted hydrodynamic force can be formed, different pulses can generate irregular perfusion flow states and form irregular turbulence, adaptive deposition conditions of the target object can be broken, the risk that the target object is in a gathering state to form blockage is reduced, and therefore the possibility of secondary residue of the target object is reduced, and the target object quality is improved. And the operation effect of the perfusion equipment on the target object is improved.

The invention belongs to the technical field of machining and intelligent manufacturing, and particularly relates to an intelligent regulation and control system and method for discharge energy of a spark machine. Comprising a multi-mode gap state sensing module, a high-throughput data synchronous acquisition and preprocessing module, a discharge pulse real-time classification and feature extraction module, an LSTM-based gap state trajectory prediction module, a multi-target model prediction control module and a high-frequency pulse power supply execution module. By fusing the electrical parameters and the in-situ optical turbidity signal, multi-dimensional perception of the discharge state is realized, the future discharge trend is predicted by using an LSTM network, and an optimal pulse parameter combination is solved online by combining an MPC controller. By the adoption of the technical scheme, dynamic optimal balance of the material corrosion rate, the surface quality and the stability in the machining process can be achieved, and the overall machining benefit is improved.

The invention relates to the technical field of circuit board processing, and discloses a circuit board precision processing method, system and device and a storage medium, and the method comprises the steps: carrying out the heat conduction characteristic detection of a plurality of circuit boards of first ceramic substrates with different thicknesses, and obtaining the relation data of the thickness and the heat conductivity; performing thermal diffusion velocity coupling calculation on the second ceramic substrate with the target thickness to obtain a coupling control relation model; laser pulse power decline processing is carried out based on the coupling control relation model, and pulse power decline control parameters are obtained; performing multi-parameter collaborative optimization based on the pulse power decline control parameters to obtain an optimal pulse parameter combination; and real-time temperature feedback regulation and control are conducted on the heat affected zone of the second ceramic substrate in the laser cutting process based on the optimal pulse parameter combination, a pulse sequence control instruction is output, the pulse parameters can be dynamically adjusted according to the actual machining state in the laser cutting process, and the machining precision of the circuit board is improved.

The invention discloses a rail transit charging and discharging service life prolonging method based on an energy storage system health state attenuation model, and belongs to the technical field of rail transit energy management. The method comprises the following steps: acquiring data through a multi-dimensional sensor to construct a coupling tensor, extracting a main coupling singular value sequence, and establishing an advanced prediction model of an instantaneous attenuation rate and a system health state; dynamically setting a target threshold value based on a real-time monitoring result, and solving an optimal charging and discharging parameter boundary in the digital twin through double-engine simulation optimization; adopting the Pontryagin minimum principle to generate a reverse reference trajectory meeting the life constraint; and finally, quantizing the track into a pulse sequence, introducing power grid fluctuation and health attenuation rate as adjusting variables, and executing after dynamically adjusting pulse parameters through a fuzzy rule. Advanced sensing of the health state of the energy storage system and accurate optimization control of the charging and discharging process are achieved, and the service life of the system is remarkably prolonged.

The invention relates to a radar signal sorting method based on improved OPTICS and PRI sequence correction matching, belongs to the technical field of radar signal pattern recognition, and solves the problems of low sorting accuracy and sorting efficiency caused by factors such as serious signal pulse parameter overlapping, more pulse loss and more interference pulses of a radar signal sorter. Comprising the following steps: 1, preprocessing an input signal; 2, pre-sorting the pre-processed signals, and outputting a plurality of clusters; and step 3, main sorting is carried out on each cluster, and an identification result of the radar signal type in the input signal is obtained. For eight common radar signals, the average accuracy of signal sorting reaches 98% under the noise proportion and the pulse loss rate of 50%, the jitter signals with the PRI jitter range of 1-50% can be accurately recognized, and the high efficiency of radar signal sorting is further verified.

The invention relates to the technical field of circuit boards, in particular to an intelligent die cutting system for a flexible circuit board. The system comprises a data acquisition module used for acquiring traction data, laser heat effect data and material characteristic data of a material in a processing process; the data analysis module is used for determining the dynamic stress distribution of the material in the machining process based on the material characteristic data and according to the traction data, and determining the local expansion or contraction trend of the material based on the material characteristic data and according to the laser heat effect data; the data analysis module is further used for determining compensation parameters according to the dynamic stress distribution and the local expansion or contraction trend of the material; the laser cutting equipment is further connected with the data analysis module; and the laser cutting equipment is used for determining pulse parameters and a cutting track according to the compensation parameters and the material characteristic data, and cutting the flexible circuit board.

The embodiment of the application provides a parameter inversion method, device and electronic equipment, wherein the parameter inversion method comprises: performing interference suppression on a received incomplete SAR signal to obtain a non-interference signal matrix; wherein the non-interference signal matrix comprises a plurality of non-interference pulse signals with time sequence continuity, and the incomplete SAR signal represents that the SAR signal is incomplete; sequentially performing data processing on each non-interference pulse signal to obtain pulse parameters of each non-interference pulse signal; the pulse parameters at least comprise a stationary phase center position, a termination point, a pulse bandwidth, a pulse signal frequency modulation rate and a peak position; based on the pulse parameters of each non-interference pulse signal, signal parameters of the incomplete SAR signal are inverted to obtain transmission parameters of the incomplete SAR signal; the signal parameters at least comprise a pulse width, a bandwidth, a frequency modulation rate, a pulse repetition interval and a pulse repetition frequency.

Embodiments of the present application provide a duodenum-based electric field ablation method, system and device, the method comprising: in the case of determining a target tissue corresponding to a target object, determining the narrow pulse parameters required by the target tissue; wherein the target tissue is the position of the target object's duodenum that needs to be subjected to pulse electric field ablation; determining the state information of the main control system; detecting the state information, and in the case that the state information meets the preset condition, generating a first pulse and a second pulse based on the narrow pulse parameters through the driving of the H-bridge circuit; wherein the preset condition is that the state information of the main control system meets the preset state; performing phase shift control processing based on the first pulse and the second pulse to determine the narrow pulse corresponding to the narrow pulse parameters; and achieving electric field ablation of the target tissue through multiple electrodes based on the narrow pulse. In the above scheme, the stability of the output of the narrow pulse is improved, thereby improving the electric field ablation effect on the duodenum.

The invention provides an intermediate frequency signal processing unit for generating a radio frequency characteristic simulation decoy signal, which belongs to the field of radar signal processing, and comprises a signal receiving and parameter measuring module for completing orthogonal frequency mixing, detection, DDC and extraction on a target radar signal, pulse time domain parameter measurement, frequency measurement and intra-pulse parameter measurement are carried out on the signals to obtain detection signals, PDW information and frequency information; the matching tracking module is used for filtering irrelevant pulses in a signal environment according to the detection signals, the PDW information and tracking parameters, and performing frequency matching and PRI tracking on the received detection signals; the time sequence control module is used for generating time sequence control parameters and time sequence control signals according to the working parameters, the detection signals and the tracking gate; the signal storing and playing module is used for storing and playing the target radar signal according to the time sequence control signal; and the decoy interference generation module is used for generating a decoy interference signal according to the target radar signal, the frequency information and the time sequence control parameter.

The invention relates to the technical field of unmanned aerial vehicle interference, in particular to a multi-band optical interference control method based on an unmanned aerial vehicle platform, and solves the technical problems of limited confrontation scene, easiness in ambient light interference and serious self-interference caused by single-band interference in the existing unmanned aerial vehicle countering technology. According to the invention, composite interference light covering the wavebands of 450 nm, 650 nm and 850 nm is emitted through the multispectral explosion flashing module; laser irradiation and radio frequency interference signals are detected in real time by using the threat sensing subsystem; a pulse control unit synchronous with a flight control system clock is adopted, and a phase locking trigger signal is generated according to exposure period characteristics of enemy optical equipment; self-interference suppression is realized through polarization orthogonal design and a mechanical shutter; spectrum combination and pulse parameters are dynamically adjusted based on enemy equipment types, full-spectrum confrontation of visible light and infrared equipment is achieved, and the method can be widely applied to the fields of military anti-unmanned aerial vehicle, important facility protection and privacy protection.