1494 results about "Frequency response" patented technology

The invention relates to the technical field of anti-electromagnetic interference, in particular to an anti-electromagnetic interference method for a flywheel energy storage system of a data center, which comprises the following steps: acquiring change rate data of the rotating speed and the angular speed of a flywheel, judging the attribution of a disturbance interval, recording change characteristics, extracting an interference identifier, comparing the interference identifier with impedance change, and generating a switching node. Frequency response and reflection coefficient characteristics of the filtering unit are detected, a coupling channel generation label is identified, and output fluctuation is evaluated to generate an anti-interference capability state label. According to the method, the surface resistivity of the shielding layer is dynamically switched according to the comparison result of the specific interference triggering identification bit and the signal link impedance change state in each disturbance stage through classification judgment and correlation marking of inertial disturbance, so that the effect of suppressing electromagnetic interference in real time is optimized; the influence degree of electromagnetic interference can be dynamically evaluated in the system operation process, and the adaptability of the energy storage system to the electromagnetic interference is judged and adjusted in real time.

The invention discloses a network construction type energy storage capacity optimal matching method based on a frequency response model, and belongs to the technical field of gas turbine power plant financial supervision and artificial intelligence, and the method comprises the steps: S1, quantifying the power vacancy of a typical station under an extreme short-circuit fault, determining a virtual inertia constant and a virtual droop coefficient of network construction type energy storage, and carrying out the calculation of the virtual inertia constant and the virtual droop coefficient; setting an initial output coefficient and adjusting a step length; s2, constructing and integrating a system frequency response model based on the inertia and frequency modulation characteristics of the conventional unit, the wind turbine generator and the network construction type energy storage; s3, applying power disturbance to the system, gradually increasing an initial output coefficient and performing simulation, and recording the maximum frequency deviation, the maximum frequency change rate and the quasi-steady-state frequency deviation; and S4, when the maximum frequency deviation, the maximum frequency change rate and the quasi-steady-state frequency deviation are respectively smaller than or equal to set threshold values, the energy storage capacity proportion corresponding to the current initial output coefficient is the optimal proportion. According to the method, the problem of accurately measuring the optimal configuration proportion of the network construction type energy storage in the new energy station is solved.

The invention relates to the field of power system automatic control and new energy grid-connected operation, and provides an energy storage-containing new energy field station frequency modulation optimization method based on deep reinforcement learning. The method comprises the following steps: firstly, establishing a frequency response model containing an energy storage new energy field station, constructing a frequency modulation problem into a Markov decision process, and defining a state space containing a charge state and frequency deviation, an action space taking a charge and discharge power instruction as an element, and a multi-target reward function fusing a frequency regulation effect and charge state management; and then designing an intelligent agent network based on a long short-term memory network and an improved soft actor-commentator algorithm, constructing an online training framework with priority experience playback and a sliding time window, and realizing adaptive optimization of the strategy. And finally, generating a robust frequency modulation instruction in real time based on the trained model. Simulation shows that the frequency long-term regulation and control capability and the intelligent level can be remarkably improved, and the frequency modulation performance and the frequency modulation margin are effectively coordinated.

The invention relates to the technical field of defect diagnosis, in particular to a production defect diagnosis method and system for a quartz crystal resonator. The method comprises the following steps: extracting a micro-acoustic response signal of each processing stage based on an ultrasonic excitation and response monitoring device, and carrying out acoustic time-frequency structure analysis and response track trend analysis and extraction to obtain a multi-stage crystal voiceprint behavior track sequence; deploying a multi-angle structured light interferometer array to carry out acoustic monitoring and synchronous visual acquisition, carrying out light stripe form response deviation calculation, and extracting a light stripe form response deviation section; and sound-light behavior frequency response analysis is carried out on the multi-stage crystal voiceprint behavior track sequence and the light texture form response deviation section, acousto-optic mismatch index fitting is carried out, and an acousto-optic fusion feature deviation database is constructed. Through accurate and efficient defect diagnosis and positioning, the production yield of the quartz crystal resonator is improved, and waste and energy consumption of a production line are reduced.

The invention discloses an electric power utilization anomaly detection and early warning method based on the Internet of Things, which relates to the technical field of electric power utilization and comprises the following steps of: performing fitting comparison on identified inductive current fluctuation and a behavior residual error template generated based on a real load behavior; analyzing a response time window, a fluctuation amplitude track and a behavior continuity characteristic, and judging whether the inductive current fluctuation generated by a non-target loop belongs to a real load change behavior or not under the condition that a plurality of loops are grounded together according to the response time window, the fluctuation amplitude track and the behavior continuity characteristic; and combining the behavior residual error fitting score, the phase consistency value and the frequency response stability value to generate a signal credibility judgment sequence, and carrying out credibility grade division on the inductive current fluctuation. According to the method, the problem of false fluctuation misjudgment caused by inductive signal interference under the condition that multiple loops share the grounding condition is solved, accurate identification and dynamic regulation and control on the authenticity of inductive current fluctuation are achieved, and therefore the accuracy and reliability of power utilization anomaly detection and early warning are improved.

The invention discloses a column type distribution transformer winding abnormity detection system and detection method. The detection system comprises a frequency response detection instrument, a signal coupling assembly, an impedance matching module and a data processing module. The frequency response detection instrument is used for outputting a frequency sweep excitation signal and collecting a winding response signal; the signal coupling assembly is used for isolating power frequency voltage and filtering low-frequency interference; the impedance matching module is used for adjusting output impedance and input impedance to realize matching with electrical characteristics of different windings; and the data processing module is used for constructing an equivalent detection loop model, completing frequency response simulation calculation and carrying out frequency domain analysis and anomaly identification on an actually measured response curve. According to the invention, electrified state diagnosis of distribution transformer winding structure abnormity (such as deformation and loosening) can be realized.

The invention provides an electric energy storage power station virtual inertia optimization method considering inertia space-time distribution characteristics, and the method comprises the steps: carrying out the virtual inertia optimization of an electric energy storage power station under the scene of considering the non-uniform inertia distribution of an electric power system under the high-proportion new energy access; constructing a source measurement frequency response characteristic model considering load power mapping and a load node frequency response characteristic model considering source measurement frequency mapping; the system small interference stability based on the characteristic root method is used as a frequency safety constraint condition; taking the minimum inertia and frequency modulation energy of the energy storage power station as a target, considering the physical constraint, the frequency security constraint and the system stability constraint of the energy storage power station, and proposing a network tracking / constructing energy storage power station inertia coordination optimization strategy considering the frequency dynamic space-time distribution; wherein the objective function is that the sum of the integral quantity of the load node frequency deviation and the inertia kinetic energy of the following / constructing network energy storage power station is minimum. According to the method, aiming at the characteristic of frequency space distribution differentiation in a novel power system, it is ensured that all nodes can meet double security constraints of frequency deviation and frequency change rate.

The invention discloses a vacuum breaking type GIS operating mechanism multi-scale fatigue damage real-time monitoring and residual life prediction method and system, equipment and a medium, and relates to the technical field of intelligent state monitoring and operation and maintenance management of power equipment, and the method comprises the specific steps: collecting and preprocessing a signal, and constructing a multi-dimensional feature vector; establishing a multi-scale fatigue damage identification model to obtain a damage grade classification result; and collecting an accumulated damage historical sequence for preprocessing, calculating through a calculation module, constructing a life prediction model, and predicting the life of the GIS operating mechanism. Through multi-source data collaborative analysis, multi-scale fatigue damage identification and life prediction model construction, the problems that a traditional method cannot realize continuous tracking and prediction of the damage evolution process of the operating mechanism and cannot fully capture multi-frequency response and local damage signals in the operating load are solved; the problems of diagnosis lag, low accuracy and weak generalization in the prior art are solved, and the operation safety and the maintenance scientificity of the high-voltage electrical equipment are remarkably improved.

The invention relates to a system inertia boundary backstepping method based on frequency dynamic indexes and distributed node equivalent inertia analysis, and belongs to the field of power optimization. The method comprises the following steps: dividing a frequency response process into an inertia response stage, a primary frequency modulation stage and a secondary frequency modulation stage; constructing a multi-source frequency response unified equivalent model; an equivalent inertia boundary inversion method based on RoCoF and Nadr dual constraints is provided, a frequency safety boundary is converted into a constraint expression for the equivalent total inertia of a system, and an inertia boundary required under given power disturbance is reversely deduced; the method further comprises the steps of introducing static load voltage characteristic correction during inertia boundary inversion; the method further comprises the step of constructing a frequency support-oriented regionalization control strategy. According to the method, the safety support boundary of the low-inertia emergency power supply system is researched from the overall level and the regional level, and a theoretical basis is provided for refined frequency control and resource optimization layout.

The invention discloses a wind power plant inertia damping adaptive regulation and control method and system fused with a deep Q network, and belongs to the technical field of power systems. The method comprises the following steps: establishing a doubly-fed wind turbine generator, a converter mathematical model and an interaction model of a wind power system connected to a power grid, and analyzing the grid-connected stability of the wind power system; the dynamic response characteristic of providing inertia support by the VSG system under different conditions is researched, and the primary frequency modulation capability is improved; a depth Q network is adopted to select rotational inertia and a damping coefficient, a damping inertia adaptive control strategy is improved, cooperation of inertia support and frequency response capability improvement of a wind turbine generator and continuous and smooth adjustment of active power is realized, the stability of a power grid is improved, and the operation performance of a wind power plant is optimized. According to the method, dynamic optimal matching of inertia response, primary frequency modulation and the running state of a unit is achieved, auxiliary services are provided, meanwhile, the running safety and service life of a draught fan are guaranteed, and smooth and impact-free adjustment of active power is achieved.

The invention provides a temperature compensation method and system of a mass flowmeter, and relates to the technical field of mass flowmeters.The method comprises the steps that a space temperature field and a strain field covering a whole measuring pipe body are obtained, and a distributed heat-force coupling state is constructed; configuring a primary disturbance parameter set, projecting the primary disturbance parameter set to a natural vibration mode space, and constructing an equivalent temperature disturbance quantity; configuring the excitation frequency of dual-frequency vibration excitation; inputting a double-frequency response result into a temperature-flow decoupling model, and inversely constructing a temperature compensation factor; calculating an original estimated value of the flow, constructing a temperature compensation amount, fusing the original estimated value of the flow, and outputting a measurement result. The technical problem that in the prior art, due to the fact that single-point temperature measurement cannot accurately decouple the temperature effect under the complex working condition, measurement of the mass flow meter is inaccurate is solved, the space temperature field and the strain field of the whole measurement pipe body are obtained, self-adaptive compensation is conducted on sensitivity drifting of the measurement pipe, and the measurement accuracy is improved. And the measurement precision of the mass flow meter is improved.

The invention discloses a data standardization method based on different electroencephalogram acquisition systems, which comprises the following steps: firstly, denoising EEG signals acquired by different electroencephalogram acquisition systems by adopting a spectral subtraction method to obtain denoised signals, and then, carrying out amplitude-frequency response correction on the denoised signals to obtain a data standardization result. According to the method, signals acquired by different electroencephalogram acquisition systems are corrected from the angles of noise and amplitude-frequency response, so that standardized processing of electroencephalogram data acquired by different electroencephalogram acquisition systems is realized, and the influence of data inconsistency caused by performance difference of the electroencephalogram acquisition systems is effectively reduced; and a new technology for standardizing data acquired by different electroencephalogram acquisition systems is provided for solving the difficulty of multi-center electroencephalogram acquisition in a cross-center standardization process.

The invention discloses a power system frequency risk quantification and coordination control method and system, and belongs to the technical field of power systems and automation thereof. The method comprises the following steps: collecting power grid online operation data and system working conditions; frequency response curves of the system after different faults are obtained through fault simulation; dividing the frequency into different frequency bands according to a binary criterion formed by a plurality of frequency threshold values and corresponding duration time, and distributing an initial weight coefficient for each frequency band; obtaining a dynamic weight coefficient of each frequency band by combining the frequency change rate in the frequency band and a preset weight gain coefficient; based on the dynamic weight coefficient of each frequency band, performing time integration on the frequency deviation value in each frequency band to obtain a transient frequency risk assessment value; and judging the system stability and the risk level, and giving a corresponding frequency control strategy according to the risk level so as to coordinate and control resources. According to the method, the short-time power disturbance and the permanent power disturbance can be effectively distinguished, and a basis is provided for on-line and off-line safe and stable control.

The invention discloses a frequency stability control method for accessing new energy to an offshore energy platform, and the method comprises the steps: firstly carrying out the state recognition and parameter extraction of frequency modulation resources, building a frequency-power response model of the frequency modulation resources, carrying out the superposition construction of a system frequency response total model, and carrying out the packaging of a dictionary structure; based on a frequency safety index, disturbance occurrence and grade are judged in real time, and a frequency change trend is dynamically estimated; according to the disturbance level and the response characteristics of various resources, a fast-medium-slow layered frequency modulation control strategy is constructed, different types of resources are scheduled in stages for cooperative adjustment, the frequency state is monitored, and control parameters are dynamically corrected; constructing a fuzzy logic controller to process nonlinear disturbance, and introducing a whale optimization algorithm to set and optimize parameters of the fuzzy controller; and finally, dynamically correcting the control strategy according to the frequency control result and the resource utilization rate index. The method can guarantee the frequency stability, reduces the frequency modulation cost, and improves the frequency control precision, the response speed and the overall operation toughness.

A circuit simulation method partitions circuits into linear and nonlinear subcircuits, obtains frequency responses of the linear portion, and applies causality-enforcing corrections to eliminate non-physical artifacts from band-limited data. The corrected responses enable construction of equivalent circuit models using voltage / current sources with passive elements, where source values update via convolution with port histories. This approach improves simulation accuracy and stability compared to direct frequency-inverse methods while maintaining compatibility with standard platforms including SPICE, PSCAD, and Simulink. Applications include power system transients, RF circuits, and high-speed digital interfaces.

The invention discloses a virtual power plant collaborative optimization scheduling method and system based on deep reinforcement learning, and the method comprises the steps: building a multi-time scale dynamic model covering second-level frequency response and hour-level economic scheduling through collecting the operation data of a virtual power plant, constructing a mixed sensing network, and taking the multi-time scale dynamic model as the input, extracting multi-scale time sequence features by combining a multi-head hierarchical attention encoder, obtaining equipment dynamic association features through a dynamic heterogeneous graph neural network, and generating comprehensive feature representation; constructing a hierarchical deep reinforcement learning control framework based on comprehensive feature representation, optimizing energy storage charging and discharging power, a load regulation instruction and a unit output strategy by adopting a deep reinforcement learning algorithm based on an experience playback mechanism, and constructing a multi-target reward function; and finally performing training-deployment process and simulation verification. According to the method, the response time of a protection mechanism can be shortened to be within 0.1 second under the working condition that the SOC is lower than 20%, the comprehensive operation cost of the system can be reduced under the normal working condition, and the signal-to-noise ratio of input signals of a control layer is remarkably increased.

The invention discloses a frequency response modeling method, system and device based on power grid planning and a storage medium, and relates to the field of power system planning operation, and the method comprises the steps: employing an improved K-means algorithm based on data intensity, and carrying out the clustering of water, fire, wind and light units according to characteristic parameters; predicting a long-sequence meteorological scene based on historical meteorological data by using a three-layer BP neural network and reducing the long-sequence meteorological scene to obtain a typical operation scene; establishing an optimization model to obtain a power supply total output plan by combining unit clustering, a typical scene and a power grid boundary condition; a mixed integer optimization model is constructed to determine a synchronous unit starting scheme, equivalent inertia is calculated, new energy and stored energy equivalent inertia is calculated, and system frequency response model identification parameters are established and simplified; the method can improve the frequency stability of the power grid, reduce the operation risk caused by new energy access, optimize the power supply and net rack configuration in the planning stage, reduce the frequency out-of-limit and load loss during a fault, and enhance the safety and economy of the power grid.

The invention relates to the technical field of power quality monitoring, in particular to a method and system for constructing a power quality disturbance recognition model based on multidimensional data, and the method comprises the steps: obtaining voltage and current waveform data and environmental parameter data of a key node of a power transmission line, carrying out the hardware defect self-inspection and phase compensation of the voltage and current waveform data, and obtaining a power quality disturbance recognition model; clean transmission electric energy data is obtained; and performing multi-scale noise suppression and time sequence correlation analysis on the clean transmission electric energy data, and constructing a high-fidelity disturbance sequence. According to the method, through the hardware defect self-inspection and phase compensation steps, denoising preprocessing is carried out by utilizing wavelet packet transformation, the frequency response deviation of equipment is identified through Fourier transformation, a frequency domain interpolation method is adopted to reconstruct a frequency-closed defect mark segment, the phase deviation error can be accurately compensated, and the detection accuracy is improved. And self-systematic errors of hardware are eliminated from a data acquisition source, high fidelity of clean transmission electric energy data used for subsequent analysis is ensured, and a foundation is laid for high-precision identification.

The invention discloses a full-field-domain structure high-precision deformation and vibration measurement system based on a microwave interference radar, and the system comprises an observation configuration module which is used for obtaining radar observation parameters and completing the signal transmission and reception; the signal processing module is used for preprocessing the echo signal and constructing an interference phase matrix; the phase unwrapping module is used for generating a continuous phase sequence and calculating the displacement of a reflection point; the frequency spectrum extraction module is used for extracting the frequency component and the vibration amplitude of each reflection point; the response clustering module is used for extracting reflection point clusters with similar frequency responses and constructing a vibration distribution diagram; the modal identification module is used for generating a vibration modal feature vector and marking a difference region; and the track generation module is used for generating a dynamic deformation track diagram of the full field domain structure. According to the invention, high-precision deformation and vibration mode synchronous measurement of a complex structure under full-field-domain and non-contact conditions is realized, and the precision, efficiency and intelligent level of structure monitoring are effectively improved.

The invention discloses a photovoltaic power generation frequency response control method considering different time scales, and relates to the field of power system automation control, and the method comprises the steps: integrating a frequency deviation feature and an illumination load disturbance feature to obtain a state feature vector, and determining a disturbance type according to the state feature vector; adaptively selecting a frequency response control mode based on the judgment result of the disturbance type, and reasoning and outputting an optimal control parameter combination in the frequency response control mode by using a pre-constructed disturbance-response causal atlas; a four-state progressive switching control strategy is generated in combination with a spectrum analysis technology, and smooth switching between frequency response control modes is realized through the four-state progressive switching control strategy. According to the invention, the response capability and the adjustment precision of the photovoltaic system under the power grid frequency disturbance can be improved, the dynamic coordination of fast frequency response and slow frequency response and parameter self-optimization control are realized, and the whole-process supporting capability of the photovoltaic system to the frequency disturbance is effectively improved.

The invention belongs to the technical field of electric power energy storage systems, and discloses a multi-element energy storage cooperative adjustment method, system, device and medium, and the method comprises the steps: constructing a discrete time dynamic equation based on the power system frequency response characteristics of a multi-element energy storage system; constructing a cost function of model prediction control according to a state matrix output by the discrete time dynamic equation, and solving the cost function to obtain a model prediction controller; outputting a target value through a deep learning model, substituting the target value into the model prediction controller, and generating a learnable model prediction controller; and calculating a prediction trajectory by using the learnable model prediction controller, comparing the prediction trajectory with a reference prediction trajectory obtained by pre-calculation, and updating deep learning model parameters according to a prediction trajectory comparison result. According to the learnable model prediction controller provided by the invention, the reference target of the model prediction controller is adaptively adjusted based on the deep learning model, so that the control effect of the model prediction controller is improved.

A sensorless method for machine tool chatter detection. A motor torque signal is analyzed in the time domain to determine whether a bit is currently cutting workpiece material. When not cutting material, an air-cut reference signal is stored for later use. When cutting material, the motor torque signal is converted to the frequency domain and filtered in a multi-step process. After removal of the air-cut reference signal via spectral subtraction, and removal of spindle harmonic components, additional filtering is performed to address aliasing and encoder error effects. The aliasing filtering removes artificial peaks in the frequency response spectrum resulting from interaction between sampling frequency and cutting frequency. The encoder error filtering removes frequency response peaks related to encoder design and interaction with motor speed. After filtering, indicator criteria are evaluated to detect chatter, and corrective action is taken when chatter is detected.

The invention discloses a method, a system, equipment and a medium for evaluating stable operation capability of an isolated network of a regional power grid. The method comprises the following steps: acquiring related data of an isolated network system; based on related data of the isolated network system, initial equivalent inertia and initial power deviation are obtained through calculation; based on the frequency deviation value of the isolated network system, operating equipment of the isolated network system is adjusted, and equivalent inertia and power deviation are calculated and updated; calculating a disturbance frequency change rate according to the equivalent inertia and the power deviation; and judging a corresponding relation between the power deviation and the disturbance frequency change rate, and obtaining an evaluation result of the stable operation capability of the isolated network system. According to the isolated network stability quantitative evaluation method constructed based on the frequency change rate, only two core parameters of the system inertia and the new energy proportion are needed, complex modeling and time-consuming simulation are not needed, and the evaluation efficiency is improved through a dynamic parameter updating mechanism of high-frequency generator tripping and low-frequency load shedding in combination with a simplified frequency response model; whether the isolated network is endangered to collapse is determined in real time, and an emergency control decision basis is provided for power grid personnel.

The invention discloses a frequency response prediction method and system under an anticipated fault of a power system, and the method comprises the steps: generating sample data in different operation modes and fault scenes through the simulation of the power system, carrying out the normalization processing, and dividing the sample data into a training set and a test set; constructing and training a physical guidance neural network model; in an online state, inputting a power grid operation mode and anticipated fault information at a future moment into the trained physical guidance neural network model, predicting a system frequency response curve, and judging whether a frequency instability risk exists or not according to the frequency response curve; according to the method, the physical guidance neural network and the data driving method are combined, the problems that a traditional data driving model is poor in interpretability and depends on a large amount of data are effectively solved, accurate prediction of the power system frequency response under the anticipated fault is achieved, and prediction efficiency and reliability are remarkably improved.

A system for millimeter RADAR object recognition and classification using sub-band frequency interference and resonance effects from primary targets signals and reflected signals from secondary target preferably in the form of Wideband Chaos Generating Material (WCGM) objects, preferably detecting frequency dependent absorbing material, frequency dependent resonance effects from the second and primary target objects, frequency signal resonance effects caused by water molecule dipole effects in different sugar solutions, impedance of material, shape of metamaterial, and interference effects due to combination of signal sources resulting in a wider range of transmitter and scanning frequency band for RADAR based interrogation of target objects. The RADAR system makes opportunistic use of traditionally seen problematic interference signals, as extra signal sources providing extended range and frequency bandwidth for frequency-based interrogation of target object signatures in a frequency-intensity plane, a frequency-polarization plane, and a frequency-phase shift plane for doppler effects.

A coordinated optimization method for VSC-HVDC Frequency Synchronization Control and primary frequency regulation of hydropower includes: obtaining optimal PI parameters of the VSC-HVDC Frequency Synchronization controller from a first layer output of a dual-layer optimization model for coordinated parameters of VSC-HVDC Frequency Synchronization and primary frequency regulation; and obtaining a target PID control parameters from a second layer output of the dual-layer optimization model. The coordinated optimization method further includes adjusting the optimal PI parameters of the synchronization controller based on the target selection range and updating the PID control parameters of the primary frequency regulation system of hydropower based on the target PID control parameters. This approach aims to address the challenge of balancing the frequency response speed between the VSC-HVDC synchronization system and the primary frequency regulation system of hydropower.

The invention provides a method and system for diagnosing high-frequency magnetic disturbance in a quasi-ring symmetrical star simulator, and relates to the technical field of star simulators, and the method comprises the steps: designing the three-dimensional size of a magnetic probe body in combination with a physical research target and a vacuum chamber space limiting condition, and preparing a magnetic probe entity adaptive to an experimental environment; designing a magnetic probe array space layout according to the triangular magnetic configuration characteristics of the CFQS star simulator to obtain a positioned magnetic probe array; a positioned magnetic probe array is utilized to construct a signal transmission link, and a calibration qualification system is formed; generating a multi-channel time domain voltage signal set according to a calibration qualified system; and performing frequency response correction on the multi-channel time domain voltage signal set in combination with a transfer function database, analyzing a disturbance mode structure and a propagation direction through time-frequency spectrum analysis and array phase difference, and finally outputting three-dimensional magnetic disturbance evolution characteristics. The three-dimensional high-frequency magnetic disturbance measuring device has the beneficial effects that the three-dimensional high-frequency magnetic disturbance measuring capability is realized, multi-channel high-fidelity signal acquisition can be realized, and the experimental data quality and the physical analysis capability are improved.

The invention discloses an SAR (synthetic aperture radar) fast multi-moving target deception jamming method and a related device, and relates to the technical field of synthetic aperture radar countermeasure. Comprising the following steps: acquiring a first frequency response function which is related to the position of a jammer and is generated by the jammer; obtaining a target frequency response function; performing phase multiplication on the first frequency response function and the target frequency response function at corresponding moments to obtain a jammer frequency response function; and performing convolution modulation on the jammer frequency response function and the SAR signal intercepted by the jammer to obtain a deception jamming signal. Wherein the first frequency response function is a frequency response function generated in real time during the main beam irradiation period of the SAR antenna; the target frequency response function is a frequency response function pre-generated based on SAR parameter information, an SAR target image, Fourier transform, a deramp function and keystone transform.

A computer-implemented sound calibration method, a system and a storage medium are provided. A test audio is played by a subwoofer and a main speaker, transmitted audio is collected by an audio collection device at a primary listening position, a sound generation delay and a volume parameter difference are analyzed, and the subwoofer is calibrated based on of a frequency response curve of a scenario, so as to solve the problem in the related art where the user experience is adversely affected due to low sound calibration accuracy between the subwoofer and the main speaker.

The invention discloses a cable high-frequency impedance characteristic analysis method based on bipolar trapezoidal wave excitation, and belongs to the technical field of power equipment state monitoring and fault diagnosis. In order to solve the problems of low test efficiency, insufficient high-frequency parameter modeling precision and weak anti-interference capability in cable high-frequency impedance characteristic analysis of a traditional sine wave excitation method, the method comprises the following steps: generating an odd-symmetry bipolar trapezoidal wave excitation signal with specific frequency and amplitude, and injecting the signal into the head end of a cable to be tested through a coupling device after power amplification; synchronously acquiring a high-frequency response signal of the key position of the cable under the excitation of the bipolar trapezoidal wave by using a data acquisition system; preprocessing the high-frequency response signal, converting the high-frequency response signal into a frequency domain through Fourier transform, calculating input impedance of the cable under different harmonic frequencies, and synthesizing a broadband impedance spectrum; based on the broadband impedance spectrum, the amplitude-frequency characteristic and the phase-frequency characteristic of impedance are analyzed, and cable state evaluation, partial discharge detection, insulation defect diagnosis or fault point positioning are realized. The method is used for an electric power system.