29 results about "Random waves" patented technology

The invention provides a TMD lockout control method for motion suppression of a semi-submersible platform, and the method comprises the steps: carrying out the frequency domain decomposition of a random wave predicted by a target sea condition, obtaining the energy distribution of each frequency component, obtaining the equivalent amplitude of each frequency component according to the energy distribution, considering the amplitude response of the platform under the action of waves of different frequencies, and achieving the motion suppression of the semi-submersible platform. The method comprises the following steps of: calculating a weight ratio of platform motion response caused by each frequency component under the action of random waves by integrating three types of information, namely amplitude, amplitude response and motion suppression effect, and finally carrying out weighted combination on the locking time corresponding to each frequency component according to the weight ratio, so as to obtain the motion suppression effect of the platform. And the optimal locking control time suitable for the current random wave is obtained. According to the method, a high-complexity non-causal control command does not need to be deduced, control parameters can be updated in real time according to short-term sea condition changes, pitching response of a platform is effectively reduced, and comprehensive optimization control over multi-frequency waves is achieved.

The invention discloses a phi-OTDR vibration demodulation method based on double-segment average phase difference, belongs to the technical field of optical fiber sensing vibration demodulation, and solves the problems that in the prior art, phase demodulation is greatly influenced by phase noise such as laser frequency drift, the phase extraction precision and the signal-to-noise ratio are low due to random fluctuation of a phase curve, and the signal-to-noise ratio is low. And phase solving errors are easily caused by interference fading points. According to the method, through band-pass filtering, moving differential positioning, I / Q demodulation after reference point selection, unwinding, mean value removal and calculation of the average phase difference of two segments, the phase variation corresponding to vibration is extracted, and the demodulation precision is improved. Through the two-segment average phase difference method, the influence of phase noise and interference fading is suppressed, and the signal-to-noise ratio and stability of phase demodulation are improved; the frequency modulation pulse is replaced to break through restrictions of spatial resolution and sensing distance, high sidelobe suppression can be realized without windowing the NLFM pulse, the signal-to-noise ratio is not damaged, and the vibration detection positioning accuracy is improved.

The invention discloses a full-coupling numerical simulation system and method for a wind and wave hybrid energy obtaining system, and relates to the field of data analysis, and the method comprises the steps: generating an aerodynamic load of a current period based on incoming flow wind speed and coupling dynamics response data of a previous simulation period; based on preset mooring system parameters and the coupling dynamics response data of the previous simulation period, generating a mooring load of the current period; in the random wave field, determining the hydrodynamic force of the floating foundation entity and the wave energy power generation entity, and generating a wave load; determining a PTO force based on the relative motion between the power generation platform and the wave energy power generation entity; and taking the aerodynamic load, the mooring load, the wave load and the PTO force as external force terms in the same time domain kinetic equation for unified solution, and obtaining a coupling kinetic response of the current simulation period. According to the full-coupling numerical simulation system and method for the wind and wave hybrid energy obtaining system, the simulation precision of the simulation system can be improved, and the overall calculation efficiency of the system is improved.

The invention discloses a multi-physics field coupling numerical method for simulating wave-ocean current-earthquake-seabed interaction, and relates to the technical field of ocean engineering numerical simulation, and the method comprises the following steps: model construction, load application, coupling solution, and result analysis and application. According to the method, revolutionary simulation of collaborative response of a seabed and a structure in a complex marine environment and multi-physics field high-precision bidirectional coupling of random waves, steady-state ocean currents and seismic excitation are realized by constructing a total-factor coupled high-precision numerical model, the problems of incomplete coupling dimensions and excessive model simplification of a traditional method are solved, and the method has the advantages of being high in practicability and high in reliability. According to the wave-induced seabed liquefaction simulation method, the simulation result and the actual working condition coincidence degree are remarkably improved, the frequency domain transfer function method is introduced to analyze the seabed pore pressure response, the cognitive depth and the prediction precision of the wave-induced seabed liquefaction mechanism are remarkably improved, and in addition, through efficient algorithms such as GPU parallel calculation, self-adaptive grids and frequency domain-time domain mixed solution, the wave-induced seabed liquefaction simulation method has the advantages that the wave-induced seabed liquefaction simulation precision is improved. And the calculation efficiency is greatly improved while the precision is ensured.

This invention provides a method for planning a wireless network within a high-speed train, belonging to the field of train communication. The method extracts key internal structural factors affecting radio wave propagation within the train by establishing a geometric model of the target scenario, and then constructs a segmented path loss model. It establishes a communication system model and a channel model based on the asymmetrical structural features inside the carriages, deriving mathematical expressions for wireless network coverage performance indicators. Combining the communication quality requirements within the train and relevant model formulas, it determines the maximum coverage distance of radio waves, determines the initial deployment locations of base stations based on the actual layout within the train, optimizes the size of cell overlap areas using wireless network coverage performance indicators, adjusts base station locations, and obtains the final deployment plan. This invention solves the problem that wireless communication technologies with random fluctuation characteristics cannot meet the high communication quality requirements of next-generation train communication networks.

The invention discloses a physical layer authentication method and system based on random beam scanning and power feedback. The method comprises the steps that a transmitting end randomly arranges a predefined angle set in each round of scanning and transmits test signals one by one, and a receiving end measures power and feeds back an optimal beam label. Although the eavesdropping end can monitor the same signal, the eavesdropping end can only obtain partial power sorting information and cannot accurately deduce the optimal beam. According to the invention, the security of physical layer authentication can be effectively improved, the disguise risk is reduced, and the method is suitable for large-scale MIMO and millimeter wave communication systems.

The invention discloses a wave-light combined energy supply observation buoy for a marine ranch cluster. The wave-light combined energy supply observation buoy comprises a transparent hemispherical shell, a cylindrical shell, a photovoltaic power generation system, an oscillation floater type wave energy power generation device and a mooring system. The photovoltaic power generation unit on the inner surface of the hemispherical shell utilizes sunlight to generate power and inputs the power into the energy storage battery; the bottom of the cylindrical shell is connected with the mooring system and anchored to the seabed; an inertia pendulum power generation module of the wave energy power generation device is installed in two vertical directions, when the inertia pendulum power generation module is excited by random waves, the device captures multi-degree-of-freedom energy in sea waves for power generation, and the multi-degree-of-freedom energy is input into an energy storage battery after being rectified. The energy conversion structure of the power generation device is simple and integrated in the equipment, and the damage of seawater to a core power generation part can be prevented during working; two power generation mechanisms of solar energy and wave energy are combined to realize power generation in different sea areas and under different wave conditions, the energy output efficiency is effectively improved, and the stored electric energy can continuously supply energy to various sensors in the drifting buoy so as to prolong the endurance time of carried observation equipment.

The invention provides a wave beam cooperative scheduling method based on a distributed random wave beam grid, and belongs to the technical field of high-frequency-band communication. The method comprises the following steps: S1, obtaining beam feature information of UE at different positions, and constructing a beam fingerprint database; s2, when the network side receives the beam switching instruction and the UE rough fingerprint information, UE position information is acquired, and a target grid is matched according to the UE position information; s3, the network side inquires a beam fingerprint database by taking the target grid and the UE rough fingerprint information as indexes, and decides a target service beam according to a preset optimization principle; and S4, the network side instructs the UE to switch to the beam ID of the target service beam through downlink signaling, and the UE receives the instruction and directly responds to the switching command. According to the method, operations such as beam switching, optimization and interference coordination can be completed without real-time and full-amount beam scanning measurement of a user, the user experience rate is remarkably improved, the expenditure is saved, and the performance of a high-frequency-band communication system is improved.

The application discloses a fundamental wave extraction method under frequency offset based on a linear neural network, and has the advantages of high extraction accuracy, adaptability to frequency disturbance and the like. A traditional digital band-pass filter cannot change its center frequency after design, when the frequency and amplitude of an input signal are offset, the output signal of the traditional digital filter will be phase-shifted and attenuated to different degrees in amplitude, and even waveform distortion will occur, so the traditional digital band-pass filter needs to be redesigned, which is complicated and greatly increases the design cost. The band-pass digital filter against frequency offset based on the adaptive linear neural network can adaptively filter according to the frequency and amplitude changes of the input signal, and thus has strong robustness for frequency-amplitude random fluctuation signal detection, and can be applied to fundamental wave signal extraction of power grid voltage / current and the like.

The invention discloses a scene-oriented meshless sea wave prediction joint simulation method. The method comprises the following steps: establishing a sea scene model and a ship model by utilizing 3D modeling software; importing the sea area scene model and the ship model into fluid simulation software, and performing particle processing on the sea area scene model; setting the number, the position distribution and the movement speed function of the wedge-shaped wave maker in mathematical calculation software to control the generation of the random sea waves to obtain parameters of the random sea waves; and taking the parameters of the random waves as output contents in fluid simulation software to act on the ship model in the particle sea scene model, calculating the force and moment of force generated by the random waves on the ship body of the ship model, and analyzing the stability of the ship based on the dynamic characteristics and parameters of the ship body. Simulation software and mathematical calculation software are used for joint simulation, the problem of calculation resource consumption caused by grids is avoided, calculation efficiency is improved, sea wave simulation accuracy is high, and the method is suitable for evaluation of ship navigation stability.

The invention discloses a ground-air electromagnetic exploration method and system based on optimized extended harmonic waves, and the method comprises the steps: obtaining a pseudo-random wave current of a transmitting frequency and correspondingly received magnetic field data, and calculating a smoothing coefficient of a magnetic field intensity curve; constructing a harmonic frequency table, and calculating a relative error of curve smoothing coefficients of the transmitting frequency before and after each harmonic frequency is added; if the relative error corresponding to a certain harmonic frequency does not exceed a preset value, the harmonic frequency and the magnetic field intensity data thereof are reserved; constructing a layered medium model according to the emission frequency and the reserved harmonic frequency, and calculating forward magnetic field intensity data in the model; calculating the relative error of the curve smoothing coefficients before and after the addition of the currently reserved harmonic frequencies according to the method, and then screening the harmonic frequencies again; and finally, analyzing the underground medium of the measuring point by using the magnetic field intensity data of the emission frequency and the finally reserved harmonic frequency. The method can improve the longitudinal resolution of underground medium property exploration through an electromagnetic method.

The invention discloses a manufacturing method of chromium-copper alloy coated steel. The manufacturing method comprises the following steps that firstly, a composite material is pretreated; step 2, pre-cooling temperature control treatment; 3, double-stage explosive cladding is carried out; 4, interface stabilization hot pressing; 5, heat treatment of the composite blank; step 6, performing nondestructive testing on the interface; 7, drawing forming is conducted; step 8, solid solution-rapid cooling treatment; and ninthly, second-stage aging strengthening treatment is conducted, specifically, heat preservation is conducted for 0.5-1.5 h at the temperature of 420-460 DEG C, primary aging is conducted, then heat preservation is conducted for 1-3 h at the temperature of 460-500 DEG C, final aging is conducted, and therefore uniform dispersed precipitation particles are formed in a chromium-copper layer, and the interface shear strength is improved. Compared with a random waveform or a thick and large waveform and a deformation phenomenon in the traditional technology, the interface waveform is more regular and continuous, and the interface stress concentration can be remarkably reduced.

The invention relates to the technical field of intelligent sensors, in particular to an insulator defect evaluation method based on vibration acoustics, and the method comprises the steps: analyzing the amplitude difference between each non-backbone component and an acoustic signal, and the discrete degree of all amplitudes in each non-backbone component, determining the noise influence degree according to the number difference between all the non-backbone components and all the backbone components; determining a signal characteristic value based on the proportion of the average frequency spectrum amplitude of each backbone component in the average frequency spectrum amplitude of the acoustic signal and the random fluctuation degree of all the amplitudes in each backbone component, and determining the disturbance degree in combination with the sound influence degree; and based on the confusion degree and the disturbance degree of the acoustic signal, denoising the acoustic signal by adopting a wavelet function so as to evaluate the defect of the insulator. According to the invention, through adaptive denoising, environmental noise interference is suppressed, and the accuracy and reliability of insulator defect evaluation are improved.

The utility model discloses an anti-overturning combined type wave energy conversion device which comprises an outer shell, a sliding frame, a coil, a magnet and a friction nanometer generator, the outer shell is of a hollow structure, and the sliding frame is arranged in the outer shell and can linearly move back and forth; the coils are fixedly arranged on the upper surface and the lower surface in the outer shell; the top face and the bottom face of the sliding frame are provided with magnets used in cooperation with the coil. The friction nanometer generator is arranged in the sliding frame and generates friction charges through sliding of the sliding frame. According to the utility model, the movement of the sliding frame is promoted by using the irregularity of ocean waves to realize the power generation of the electromagnetic generator and the friction nano generator, random wave energy is easy to collect, the responsivity is high, the output is stable, and the energy conversion efficiency is high.

The present disclosure is a vertical position staged self-adjusting wave-resistant anti-ship collision device for a cross-sea bridge, comprising: a collision-proof sleeve box arranged around the bridge foundation near the water surface; a horizontal restraint system arranged between the bridge foundation and the collision-proof sleeve box; a vertical restraint system, one end of which is fixed to the collision-proof sleeve box, and the other end is fixed to the bridge foundation, for providing an action force to the collision-proof sleeve box in the opposite direction of the vertical movement direction or the movement trend direction; an adjusting water tank arranged at the top of the collision-proof sleeve box for adjusting the water entry depth of the collision-proof sleeve box. By using the present disclosure, the collision-proof sleeve box can be locked when small water level changes or small wave actions occur, and vertically adaptive movement is achieved when large water level changes or large wave actions occur, realizing the anti-ship collision function under different water levels, while reducing the up-down high-frequency movement amplitude and cumulative stroke of the collision-proof sleeve box under the random wave action of the marine environment, reducing the wear and tear of the horizontal restraint system, and improving the wave impact resistance and fatigue resistance.

The application discloses a prediction method of a multifunctional radar random waveform sequence, which regards a radar signal sequence as a multi-layer syntax structure of regularly connected mixed "radar word"-"radar phrase"-"radar sentence". The working modes of the radar are transformed into each other according to fixed transition probabilities, each working mode corresponds to a fixed phrase template library, and a phrase is selected from the phrase template library each time to complete the function of the working mode. The prediction method distinguishes the occurrence probability of the radar word under two different situations of mode and mode, and the radar word at the next moment can be predicted according to the historical sequence and the corresponding working mode. The method of the application trains a probability model in a statistical learning mode, has strong anti-noise capability, solves the problem of the reduction of the prediction accuracy rate caused by the random template in an adaptive output mode, and avoids multiple iterations and multiple loops through algorithm optimization and matrix design, so that the calculation efficiency and the anti-noise capability are improved.

This invention provides a method and system for suppressing motion-induced self-noise in hydrophones. Using time-frequency data of the hydrophone's displacement velocity as input, it directly establishes a dynamic mapping relationship between the time-frequency characteristics of self-noise, overcoming the limitations of traditional mechanistic models. This model can uncover the deep nonlinear correlation between motion parameters and noise signals, generating high-precision, full-band acoustic features, providing highly adaptive and reliable data support for subsequent noise suppression. This invention, employing the aforementioned method and system for suppressing motion-induced self-noise in hydrophones, aims to address the core problem of insufficient generalization of traditional empirical formulas in random wave environments.

The invention belongs to the technical field of radar target detection, and particularly relates to a high-frequency ground wave radar target intelligent detection method used in a Weibull clutter environment. The objective of the invention is to solve the problem of low intelligent detection precision of a high-frequency ground wave radar target in a Weibull clutter environment in the prior art. The invention provides a high-frequency ground wave radar target intelligent detection method used in a Weibull clutter environment. According to the method, a plurality of moments are estimated at the same time by adopting a plurality of channels, so that the situation that the estimation accuracy of shape parameters is reduced due to inconsistent moment estimation errors is avoided by utilizing the correlation among the channels. And a shallow mapping network is adopted to replace a table look-up method so as to improve the shape parameter estimation efficiency. In addition, an integrated learning normal form is adopted, variance is reduced through aggregation of multiple models, inherent random fluctuation in a single network is reduced, estimation precision is improved, and therefore target detection performance is improved.

The application discloses a kind of ocean ranching platform based on post-bending pipe and oscillating float type wave energy generation system, including ocean ranching platform, post-bending pipe type power generation device, oscillating float type power generation device;Post-bending pipe is driven by the air movement of water column oscillation and drives turbine and generator to rotate and output electric energy;Oscillating float type power generation device can capture multiple direction vibration energy to generate electric energy.Application, when ocean ranching platform is moved by random wave load, two wave energy generation devices can generate power simultaneously, improve the utilization efficiency of wave energy.This scheme oscillating float type power generation device can be used as the cabin ballast of post-bending pipe type power generation device, realize ocean ranching platform to reduce roll while generating electricity;This scheme can also prevent key components from being eroded and damaged by seawater during power generation, thereby improving the service life of the device, and realizing continuous and stable power supply to the aquaculture equipment carried by the ocean ranching platform, effectively solving the long-term self-power problem of the existing ocean ranching platform.

The application discloses a method for evaluating ship riding wave probability in irregular waves based on AIS data, which comprises the following steps: 1, establishing a probability density function of ship density based on ship AIS data; 2, selecting a representative route and multiple test points at equal intervals, and obtaining the probability of occurrence of a specific random sea state in a target sea area according to a wave scatter diagram of a sea area near the test points; 3, calculating the riding wave probability of a ship in random waves; 4, calculating the riding wave probability of a ship in a specific irregular wave of a test point of the representative route in random waves; 5, calculating the riding wave probability of the ship under each random sea state of the test point, and calculating the riding wave probability of the ship of other test points according to the same steps. The application solves the related problem of solving the riding wave motion of a ship in irregular waves, can predict the probability of the riding wave motion of the ship in irregular waves, the calculation result can directly obtain the riding wave motion probability of the ship in irregular waves, the solving precision is high, the efficiency is high, and the application is suitable for various ship types.

This invention discloses a simulation method and system for ship berthing and unberthing maneuvering considering the combined effects of wind and waves. The method establishes a body-dependent coordinate system with the ship's center of gravity as the origin, constructs three-degree-of-freedom motion equations for the ship's sway, roll, and bow roll in the horizontal plane, and couples the ship's hydrodynamic forces, propeller forces, rudder forces, bow thruster forces, wind loads, current loads, and wave drift forces into the state model. Wind loads are calculated using the wind pressure coefficient method, current loads using the current pressure coefficient method, and wave drift forces are obtained through frequency domain integration of the random wave spectrum and the drift force transfer function. Based on the aforementioned maneuvering forces and environmental forces, the state vector is solved iteratively using the fourth-order Runge-Kutta method, updating the ship's position coordinates, heading angle, and velocities in each direction in real time, and outputting the time histories of environmental forces and maneuvering forces to support berthing and unberthing maneuvering decisions. This invention features complete environmental load modeling, high numerical solution accuracy, and a modular system structure, demonstrating good engineering applicability.

The invention relates to a multi-parameter coupling variable-speed navigation body radiation noise simulation method. According to the method, a continuous spectrum component, a line spectrum component and a modulation spectrum component are respectively generated by initializing a target category and a motion state parameter, and motion parameters such as a target navigational speed and an accelerated speed are innovatively and dynamically coupled with noise characteristics: a continuous spectrum changing along with the navigational speed is generated by using an FIR filter; doppler frequency shift and random fluctuation are introduced into the line spectrum to simulate time-varying characteristics; and dynamically calculating a modulation spectrum according to the propeller rotating speed. And finally, superposing the components to generate a high-fidelity variable-speed target radiation noise signal. The method solves the problem that the traditional model has fixed parameters and cannot reflect the dynamic evolution of maneuvering target noise, and can provide vivid and reproducible data support for sonar system test and target identification research.

A method and system for detecting high-resistance grounding faults based on multi-band variable data windows are disclosed. The method includes: initiating a two-cycle fault data buffer based on the effective value and abrupt change of the zero-sequence voltage; then performing multi-band filtering and decomposition on the fault data; subsequently analyzing the similarity and volt-ampere characteristics of zero-sequence voltage and zero-sequence current data at different frequency bands; performing secondary verification by changing the data window; and finally detecting whether a high-resistance fault has occurred in the line. This invention is applicable to high-resistance fault detection in low-current systems. By performing multi-band analysis of zero-sequence voltage and zero-sequence current data, it more accurately extracts frequency bands with obvious fault characteristics. Combined with variable data window calculation and verification, it avoids misjudgments caused by random fluctuations, demonstrating significant engineering application value.

The application provides a TMD closed-loop control method for semi-submersible platform motion suppression, frequency domain decomposition is performed on random waves of a target sea state to obtain energy distribution of each frequency component, equivalent amplitudes of each frequency component are obtained according to the energy distribution, amplitude responses of the platform under the action of waves of different frequencies are considered, and actual contributions of corresponding closed-loop times to motion suppression under each frequency are considered, weight proportions of each frequency component in platform motion responses under the action of random waves are calculated by comprehensively considering three types of information, i.e., amplitudes, amplitude responses and motion suppression effects, and finally, the closed-loop times corresponding to each frequency component are combined by weighting according to the weight proportions, so that the optimal closed-loop control time suitable for the current random wave is obtained. The method does not need to derive a high-complexity non-causal control command, can update the control parameters in real time according to short-term sea state changes, effectively reduces the pitch response of the platform, and realizes comprehensive optimization control on multi-frequency waves.

To confirm the finished amount of an underground wall in a short time without pulling up an excavator, and to grasp not only the distance to the underground wall but also the strength of the underground wall.SOLUTION: When a transmitter and a receiver (sensor 40) of ultrasonic waves are inserted into an underground hole 10 filled with muddy water and a distance to an underground wall (12) is measured by the ultrasonic waves to confirm a finished shape of the underground wall (12), the transmitter and the receiver (sensor 40) of the ultrasonic waves are arranged on a side surface (frame 26) of an excavator 20 for excavating the underground hole 10. A pseudo random wave of a frequency selected according to the concentration of the muddy water is transmitted from the transmitter toward the underground wall (12), and a distance to the underground wall (12) and an intensity of the underground wall (12) are calculated from a propagation time and a reception amplitude of a reception wave (measurement signal 60) received by the receiver, propagated through the muddy water, and reflected and returned by the underground wall (12).SELECTED DRAWING: Figure 3

This invention relates to a high-precision sub-millimeter deformation detection method for InSAR based on initial phase error elimination, belonging to the field of electronic signal processing. First, a millimeter-wave radar is used to monitor and scan the target area to achieve SAR imaging, dividing the image into primary and secondary images according to the radar scanning cycle. A PS point is selected, and its deformation represents the deformation state of the entire target area. Then, using the distance from the PS point to the image origin as a reference, combined with the radar instantaneous coordinates corresponding to each pulse signal, the phase information of the corresponding PS point is extracted from all range-compressed pulse signals, and the average phase is calculated to eliminate the initial phase error of the transmitted signal. Finally, for the same PS point, the phase difference between the two monitoring and processing results is calculated to obtain the true deformation. This invention reduces the error caused by random fluctuations in the initial phase of the transmitted signal and simplifies traditional calculation methods, improving both computational efficiency and accuracy.

An apparatus includes at least one processor; and at least one memory storing instructions that, when executed using the at least one processor, cause the apparatus to: receive the activation signal including seed information, wherein the seed information is common to seed information in a reader; generate a signal based on at least one predetermined instruction and the seed information from the received activation signal; and transmit the generated signal from the apparatus.

This invention discloses a method and system for simulating stationary non-Gaussian wind fields based on random waves, relating to the field of non-Gaussian wind field simulation in structural wind engineering. It includes: acquiring the autopower spectrum and coherence function of the target wind speed field to construct the target non-Gaussian wavenumber-frequency spectrum; discretizing the wavenumber and frequency, and generating a bottom-level stationary Gaussian random field by combining random wave spectrum representation and two-dimensional fast Fourier transform; reconstructing the target non-Gaussian marginal probability density function and cumulative distribution function based on finite-order statistical moments using the maximum entropy method; embedding a piecewise Hermite polynomial model to construct a piecewise translation mapping function from Gaussian to non-Gaussian; inversely calculating the bottom-level Gaussian correlation structure and determining its spectral characteristics based on the correlation distortion relationship; and applying the piecewise translation mapping function to obtain stationary non-Gaussian wind field samples. This invention eliminates the need to decompose high-dimensional matrices, balancing computational efficiency and numerical stability, characterizing the high-order statistical properties and tail probabilities of strong non-Gaussian wind fields, and ensuring the spatiotemporal correlation of the wind field.

According to the hydrophone motion self-noise suppression method and system provided by the invention, the time-frequency data of the displacement speed of the hydrophone is taken as the input, the dynamic mapping relation of the self-noise time-frequency characteristics is directly established, and the limitation of a traditional mechanism model is broken through. According to the model, deep nonlinear correlation between motion parameters and noise signals can be mined, high-precision and full-band acoustic features are generated, and data support with high adaptability and high reliability is provided for subsequent noise suppression. The method and the system for suppressing the motion self-noise of the hydrophone aim at solving the core problem that a traditional empirical formula is insufficient in generalization in a random wave environment.