110 results about "Hybrid filter" patented technology

The invention discloses an intelligent photoelectric theodolite aerial target positioning and tracking system, which relates to the technical field of photoelectric detection, and comprises a multi-mode photoelectric sensor module integrating visible light, infrared thermal imaging, a laser radar and a polarized light sensor and supporting spectrum adaptive switching; the dynamic noise suppression processing module is used for eliminating environmental interference based on a time-space domain hybrid filtering algorithm; the multi-target tracking control module adopts a time-sharing partition scanning strategy and a graph neural network data association algorithm; the anti-interference servo driving module is used for realizing stable tracking under strong disturbance through inertial navigation-visual fusion compensation; and the edge computing platform is used for deploying a lightweight deep learning model to complete target recognition and trajectory prediction. According to the invention, through interdisciplinary collaboration of quantum dot materials, graph neural networks and physical equation constraints, the bottleneck of a single technology is broken through; and through closed-loop optimization of dynamic anti-interference and edge intelligence, full-link enhancement of'perception-decision-execution 'is realized.

The invention relates to the technical field of battery fault detection, and particularly discloses a new energy automobile battery fault intelligent diagnosis method and system, and the method comprises the steps: collecting the three-dimensional time sequence data flow of the voltage, temperature and internal resistance of a battery pack through a distributed sensor array; the environment temperature, the number of charge and discharge cycles and the vehicle operation condition parameters are synchronously integrated as auxiliary diagnosis dimensions, and a multi-source heterogeneous data sensing system is constructed; the method comprises the following steps: preprocessing original data by adopting a dual-channel hybrid filtering architecture based on a multi-source heterogeneous data sensing system, and establishing an adaptive filtering parameter adjustment mechanism to generate multi-modal data; according to the method, multi-dimensional time sequence data and auxiliary diagnosis parameters of the battery pack are comprehensively collected through a constructed multi-source heterogeneous data sensing system, a rich and accurate data basis is provided for fault diagnosis, noise interference is reduced through a two-channel hybrid filtering architecture and a self-adaptive filtering parameter adjustment mechanism, and the fault diagnosis accuracy is improved. And a solid foundation is laid for subsequent feature extraction and model training.

The invention relates to the field of intelligent warehousing, and discloses an intelligent clothing inventory real-time monitoring and automatic checking system based on RFID, which aims at solving the problems of poor environmental adaptability, high dynamic sensing delay, high cross-scene deployment cost and the like in the prior art, and comprises a reconfigurable RFID tag, an integrated spiral-dipole composite antenna and a temperature compensation circuit, dual-band switching of 860 to 960 MHz and self calibration are supported; a heterogeneous read-write network is formed by a fixed reader-writer and AGV mobile nodes, and signal coverage is enhanced through beam forming; the edge calculation module adopts an LSTM trajectory prediction and hybrid filtering algorithm to realize millisecond-level processing; the cloud platform maps the inventory in real time based on the digital twin model and traces the source of the block chain, the dynamic time slot distribution protocol optimizes the cooperation of the reader-writer, and the transfer learning model realizes cross-scene rapid adaptation. According to the invention, the tag reading rate is 99.7%, the inventory efficiency is improved by 300%, the deployment period is shortened by 80%, and the problems of accurate inventory management and dynamic tracking in a complex environment are solved.

The invention discloses a GPS interference phased array monitoring direction-finding antenna system for a 1575 frequency band, and relates to the technical field of intelligent antennae, comprising a data integration module for integrating data of satellite ephemeris, carrier attitude and airspace coverage through a weighted average method and generating an environment parameter set, a prediction calibration module for predicting the data of the satellite ephemeris, the carrier attitude and the airspace coverage through a weighted average method and generating an environment parameter set, and a direction-finding antenna module for performing direction-finding on the environment parameter set. The phase drift prediction module is used for inputting an environment parameter set into a bidirectional LSTM network, obtaining a phase drift prediction value, carrying out nonlinear calibration on the phase drift prediction value by adopting a Kalman-particle hybrid filtering algorithm, and synchronously monitoring an IQ signal by utilizing a closed-loop feedback mechanism, and the beam generation module is used for carrying out orthogonal modulation and radio frequency up-conversion processing on the IQ signal, and outputting the processed IQ signal. According to the method, the bidirectional LSTM network is combined with the Kalman-particle hybrid filtering algorithm, so that phase drift caused by factors such as carrier vibration and the like can be accurately predicted and calibrated in real time.

The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal, and belongs to the field of gas detection. The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal. The infrared CO2 high-precision detection system comprises a sensing module, a signal conditioning and collecting module and a self-adaptive filtering processing module. According to the method, the problems of contradiction between response speed and stability, discrete signal tracking lag and sensitivity to environmental interference in the prior art are solved, the weight of a filtering channel is adaptively and dynamically adjusted, and the advantages of a fast filtering channel and a slow filtering channel are combined, so that balance between dynamic response and steady-state precision is realized; the problem of tracking lag of discrete signals is solved by analyzing the change rate of the signals in real time and dynamically adjusting a filtering strategy; and through a hybrid filter and an environment compensation algorithm, the influence of temperature and humidity changes on a detection result is reduced, so that the long-term stability of the sensor is improved.

The invention discloses a transformer voiceprint fault identification method and system. The method comprises the following steps: extracting a hybrid filter power spectrum feature vector from a target transformer voiceprint signal; according to a preset multi-granularity dynamic multi-dimensional feature fusion algorithm, fusing the hybrid filter power spectrum feature vector with a preset multi-dimensional feature vector to obtain an MDF vector of at least one frame of transformer voiceprint sub-signal, and splicing the MDF vectors of the frames of transformer voiceprint sub-signals to obtain an MDF vector of the transformer voiceprint sub-signal; generating a fusion feature vector corresponding to the target transformer voiceprint signal; constructing a transformer voiceprint recognition model based on a full-span sparse attention mechanism of a structured factor; and inputting the fusion feature vector into a transformer voiceprint recognition model, and outputting to obtain a fault recognition result. The problems of strong noise interference, weak feature discrimination, poor model robustness and the like in transformer fault voiceprint recognition in a high-noise environment are effectively solved, and the accuracy and robustness of fault recognition are remarkably improved.

The invention relates to the technical field of intelligent control and information security crossing, in particular to an anti-error data injection Kalman filtering method based on neural network enhancement, which comprises the following steps: firstly, constructing a neural network auxiliary correction module for identifying and correcting an extended Kalman filtering intermediate variable affected by an error data injection attack; secondly, designing a hybrid filtering architecture, and combining the learning ability of a neural network with the theoretical advantages of traditional Kalman filtering; and finally, realizing adaptive optimization of model parameters through a mixed training mechanism. Accurate state estimation can be achieved only through limited prior information, and meanwhile the calculation efficiency and interpretability of a traditional Kalman filter are kept. And the anti-interference capability of the system in a non-Gaussian noise environment is effectively improved. The application of the method on an induction motor model is obviously better than that of a traditional anti-error data injection scheme, and breakthrough progress is achieved in the aspects of estimation precision and robustness.

A method for preparing a hybrid filter on a chip with IPD and FBAR, includes: preparing a leakage isolation layer on a supporting substrate by deposition; obtaining an inductor layer on the leakage isolation layer, leaving a window at a bottom of a groove surrounding a cross section of a TGV inductor stack on a mask, and patterning an inductor metal simultaneously; forming a first insulating layer on the inductor metal, and forming lead through holes by photolithography; repeating steps and alternately to obtain a three-layer stacked TGV inductor; depositing a second insulating layer on the TGV inductor; depositing two capacitor layers on the second insulating layer, and depositing a third insulating layer between the two capacitor layers to form an MIM capacitor; and preparing a BAW resonator on the MIM capacitor, and connecting the TGV inductor, the MIM capacitor and the BAW resonator through the lead through holes.

The invention provides a hybrid filtering denoising method and device based on adaptive parameters, and relates to the technical field of three-dimensional point cloud processing. The method comprises the following steps: acquiring three-dimensional point cloud data of a target object; performing voxel segmentation processing on the three-dimensional point cloud data to obtain a plurality of voxels; according to the segmented three-dimensional point cloud data, combining a plurality of voxels by using a density similarity model to obtain a voxel set with different density distributions; based on the merged voxels, a radius filtering parameter and a statistical filtering parameter of each voxel set are adaptively determined, the radius filtering parameter is used for filtering isolated noise in the three-dimensional point cloud data, and the statistical filtering parameter is used for filtering random noise in the three-dimensional point cloud data; performing random noise removal processing on the three-dimensional point cloud data according to the statistical filtering parameters; and performing isolated noise removal processing on the three-dimensional point cloud data after random noise removal according to the radius filtering parameter.

The invention relates to a tunable high-repetition-frequency high-power multi-wavelength optical pulse generation system, which belongs to the technical field of optoelectronic equipment and is structurally characterized in that the output end of a seed pulse source (1) is connected with the input end of a repetition-frequency multiplication module (2), and the output end of the repetition-frequency multiplication module (2) is connected with the input end of a shaping optical path module (3); the output end of the shaping light path module (3) is connected with the input end of the power amplification module (4), and the output end of the power amplification module (4) is connected with the input end of the pulse compression module (5); a multi-wavelength pulse seed source is designed by using a plurality of hybrid filters, and tunable multi-wavelength, high-repetition-frequency and high-power narrow pulse output is realized by using technologies such as an MZI-Sagnac hybrid repetition-frequency multiplication structure and the like.

The invention relates to the technical field of semiconductor devices, in particular to a passive filter and a hybrid filter applying the same. The passive filter comprises a heterogeneous substrate assembly which comprises a supporting substrate, a first dielectric layer and a single crystal film substrate; the first dielectric layer is arranged on the surface of one side of the supporting substrate; the single crystal thin film substrate is arranged on the surface of one side, deviating from the supporting substrate, of the first dielectric layer; the first patterned electrode is arranged on the side, away from the first dielectric layer, of the single crystal thin film substrate, and the first patterned electrode and the heterogeneous substrate assembly at least form a partial circuit structure of an equivalent circuit. The radio frequency loss of the substrate can be reduced, the quality factor of the equivalent circuit is improved, the insertion loss of the passive filter is reduced, the reliability and the integration degree of the device are improved, and the device cost is reduced.

To suppress degradation of characteristics, a high frequency module includes a mounting substrate, a first signal terminal, a second signal terminal, and ground terminals, and a hybrid filter. The hybrid filter is coupled between the first signal terminal and the second signal terminal. The hybrid filter includes an acoustic wave filter having at least one acoustic wave resonator, a first inductor, and a capacitor. The pass band width of the hybrid filter is larger than that of the acoustic wave resonator. A resin layer is disposed on a first principal surface of the mounting substrate. The resin layer covers at least part of the acoustic wave filter. A metal electrode layer covers at least part of the resin layer, and is coupled to the ground terminals. The second inductor is coupled between the hybrid filter and the second signal terminal.

The invention relates to the technical field of aerospace engineering, space robots and intelligent control, and particularly discloses a space debris intelligent capture and treatment method and system based on an SAC algorithm, and the method comprises the steps: obtaining the motion data of a space non-cooperative target and the system parameters of a space robot; constructing a hybrid filtering optimization framework based on the motion data and the system parameters; adjusting a hybrid weight and a noise forgetting factor in the hybrid filtering optimization framework by using an SAC algorithm to obtain self-adaptive estimation of a target attitude; a state space and an action space are defined based on a base of the space robot and a mechanical arm of the space robot respectively, and based on the state space and the action space, a mechanical arm movement path of the space robot is generated through an SAC algorithm in combination with a multi-target reward function; and the self-adaptive estimation of the target attitude is fed back to the motion path of the mechanical arm, dynamic cooperation of filtering and control is achieved, and stable capture of the space non-cooperative target is completed.

A bandpass filter is provided that includes series acoustic resonators and shunt acoustic resonators. The shunt acoustic resonators include a first transversely-excited film bulk acoustic resonators (XBAR) that includes a diaphragm comprising a portion of a piezoelectric layer that is over a cavity of the first XBAR and a first interdigital transducer (IDT) on a surface of the piezoelectric layer. The first XBAR is connected between (i) a node directly between a first series acoustic resonator of the plurality of series acoustic resonators and the input port, and (ii) a ground of the bandpass filter. The series and shunt acoustic resonators include one or more solidly-mounted XBARs that includes a portion of a second piezoelectric layer that is solidly mounted over a substrate with a Bragg reflector disposed therebetween.

The invention relates to the technical field of mobile telecommunication services such as new-generation mobile communication base station equipment, new-generation mobile communication core network and access network construction, networking and the like, in particular to a 6G communication and sensing integration method for multi-dimensional radio frequency characteristic intelligent analysis, which comprises the following steps of: S1, establishing a ground multi-antenna base station, and collecting radio frequency characteristics of a target; s2, establishing a self-adaptive path loss model, and realizing accurate estimation of a target distance by analyzing received signal strength data; s3, estimating an angle of arrival of the target signal in combination with an improved MUSIC-ESPRIT fusion algorithm based on the radio frequency characteristics; s4, based on the frequency change information of the target signal, estimating the distance position and the motion state of the target relative to the ground multi-antenna base station according to a Doppler frequency shift theory in combination with a hybrid filtering architecture driven by environmental perception; and S5, performing information fusion of different levels on the distance position and the motion state obtained by signal feature analysis to obtain a final target tracking result.

The invention belongs to the technical field of positioning and navigation, and discloses a precise single-point positioning method and device based on a single Beidou, and the method comprises the steps: building a three-frequency non-difference and non-combination precise single-point positioning observation model based on a Beidou satellite system, estimating the delay of an ionized layer through a non-difference and non-combination method, and extracting the electron content in a line-of-sight direction; carrying out iterative solution on the electron content in the sight line direction by using a multiplication algebraic reconstruction algorithm to obtain the electron density of the ionized layer; taking ionosphere electron density as prior information, and adding ionosphere constraint estimation to obtain a state vector of a receiver; and calculating a signal quality evaluation coefficient of the Beidou satellite system, and according to the signal quality evaluation coefficient, updating the state vector of the receiver by using a hybrid filter to obtain a final positioning position. According to the invention, high-precision regional ionosphere delay modeling and Beidou three-frequency non-difference and non-combination precision single-point positioning under ionosphere constraint are realized, and the positioning precision and robustness of a single Beidou precision single-point positioning system are effectively improved.

This invention discloses a computer vision-based method for ship traffic situational awareness, comprising: collecting ship traffic data and preprocessing it to obtain a video frame sequence; performing ship target detection and outputting a set of ship detection results; constructing an improved ByteTrack model and outputting a set of trajectory segments; performing a Poisson-Dobernoli hybrid filter to obtain a set of ship tracks; performing coordinate mapping and track element calculation, calculating speed, heading, and position; performing risk event determination and outputting risk event results; and performing graded early warning and interpretable processing to generate early warning information. This invention, through the collaborative processing of the improved ByteTrack model and the Poisson-Dobernoli hybrid filter, achieves graded early warning and interpretable output of risk events for ship targets under complex sea surface imaging conditions.

The invention discloses a lumped element and acoustic resonator mixed filtering balun and radio frequency front end system, which comprises a first module, a second module, a third module, a fourth module, a fifth module, a sixth module and a seventh module, and is characterized in that the first module, the third module and the fourth module are acoustic-electric mixed modules and comprise lumped elements and acoustic resonators; the first module, the fifth module, the sixth module and the seventh module are used for forming a plurality of transmission zero points outside a passband of the filtering balun so as to enhance the selectivity and out-of-band rejection of the edge of the passband, and the second module, the fifth module, the sixth module and the seventh module are electric modules, are formed by lumped elements and are used for realizing the passband of the required filtering balun. Reflection loss caused by impedance mismatching when discrete devices are cascaded can be avoided, insertion loss of a system is remarkably reduced, the size and cost of the system are reduced, the broadband advantage of an electrical filter and the high selectivity advantage of an acoustic filter are integrated, and meanwhile the high-performance filtering balun which is miniaturized, large in bandwidth and high in selectivity is achieved.

The invention provides an efficient image denoising method based on a hybrid filter technology, and belongs to the field of digital image processing. Traditional bilateral filtering and self-defined convolution filtering are fused to denoise an image; the method comprises the following steps: performing bilateral filtering on a noisy image for preprocessing, and performing self-defined convolution filtering on the preprocessed image to obtain a denoised image; the denoising precision can be improved while the real-time performance is ensured, and key pain points in the fields of industry, medical treatment, consumer electronics and the like are solved.

The invention provides a manufacturing method of a hybrid filter, and the method comprises the steps: providing a first substrate, and forming a piezoelectric layer on the first substrate; forming a first electrode and a bonding layer on the piezoelectric layer; an etching groove and a connecting conductive column are formed in the bonding layer, the first electrode at the preset position is exposed in the etching groove, and the connecting conductive column penetrates through the bonding layer and is connected with the piezoelectric layer and / or the first electrode; a second substrate is provided, a passive element and a leading-out conductive column are arranged in the second substrate, the leading-out conductive column is electrically connected with the passive element, the bonding layer and the second substrate are bonded, and the leading-out conductive column is electrically connected with the connecting conductive column; the first substrate is removed, and a second electrode is formed on the side, away from the second substrate, of the piezoelectric layer. According to the manufacturing method of the hybrid filter, the passive element is arranged in the second substrate, integrated connection of the passive element is achieved in the bonding process of the bonding layer and the second substrate, the process is simple, the device size can be reduced, and the cost can be reduced.

The invention provides an intelligent filtering control method for a hydrogen storage tank of a wind-solar coupled electrolytic hydrogen production system, which comprises the following steps: designing a filter, dynamically adjusting the cut-off frequency of the filter according to the time constant of the hydrogen storage tank, and finding the optimal filter order through an optimization mechanism; the current working condition is judged according to the hydrogen charging and discharging state of the hydrogen storage tank, and a proper type is selected from an FIR filter, an IIR filter and a self-adaptive hybrid filter according to different working conditions; the hydrogen production process is filtered, and the hydrogen charging and discharging amount of a hydrogen storage tank is adjusted according to the difference between the target hydrogen production rate and the actual hydrogen production rate, so that smooth hydrogen output is obtained; and evaluating the performance of the hydrogen production system according to the fluctuation ratio in the hydrogen output process, and readjusting the parameters of the filter according to the evaluation result. According to the invention, appropriate filter types are dynamically selected according to different working conditions, so that a relatively smooth hydrogen output rate is realized, the stability of the system is ensured, and the requirements of subsequent large-scale industrial production are met.

The present invention discloses an end-to-end encrypted file search system without privacy leakage, comprising: a client device, used to generate a binary hybrid filter for a file and encrypt it; the encrypted binary hybrid filter is sent to the first and second cloud servers for storage; a distributed multi-point function is constructed according to a query keyword, and a first key and a second key are generated and sent to the two servers; the two servers are used to search the encrypted binary hybrid filter according to their own keys, and return the encrypted search data to the client device, so that the client device obtains the search result according to the first and second encrypted search data. The present invention realizes efficient search on the basis of protecting data privacy.

The invention discloses a hybrid filter, and relates to the technical field of radio frequency. The hybrid filter comprises a substrate, a piezoelectric layer, a transmission line resonator, an acoustic wave device and a connecting layer, wherein the piezoelectric layer is arranged on the surface of the substrate, and the piezoelectric layer is made of a high-dielectric-constant piezoelectric material; the transmission line resonator is arranged on the surface of the piezoelectric layer or arranged in the piezoelectric layer; the acoustic wave device is arranged in the piezoelectric layer; and the connecting layer is arranged on the surface of the piezoelectric layer and is used for connecting the transmission line resonator and the acoustic wave device. Therefore, the transmission line resonator based on the high-dielectric-constant piezoelectric layer and the acoustic wave device in the same piezoelectric layer form a three-dimensional and layer-stacked hybrid filter structure, so that the miniaturization of the hybrid filter formed by the high-dielectric-constant transmission line resonator and the acoustic wave device is realized; therefore, the problems of impedance mismatch, insertion loss superposition and the like are effectively reduced while the excellent performances of high selectivity, wide band and high power tolerance are realized.

Provided in the present application are a preparation method for a bulk acoustic wave monolithic hybrid filter of an integrated passive device, comprising: (1) by means of deposition, preparing a leakage isolation layer on a support substrate; (2) by means of physical vapor deposition, obtaining an inductance layer on the leakage isolation layer prepared in step (1), keeping a TGV inductance stack cross section on a mask to surround a bottom window of a trench, and patterning inductance metal; (3) by means of chemical vapor deposition, obtaining an insulating layer on the inductance metal prepared in step (2) and, by means of lithography, obtaining a lead through hole; (4) alternately repeating step (2) and step (3) to obtain a three-layer stacked TGV inductor; (5) by means of chemical vapor deposition, depositing an insulating layer again above the TGV inductor prepared in step (4); (6) by means of physical vapor deposition, depositing two capacitance layers on the insulating layer deposited in step (5), and depositing an insulating layer between the two capacitance layers to form an MIM capacitor; and (7) preparing a BAW resonator on the MIM capacitor prepared in step (6) and, by means of the lead through hole, connecting the TGV inductor, the MIM capacitor and the BAW resonator.

The present invention discloses a visible light and infrared image fusion method based on feature extraction. First, the infrared image is preprocessed by a hybrid filtering algorithm. Secondly, the gray histogram of the image is extended to fill the entire gray range, highlighting the infrared target and weakening the influence of the background. Then, Gaussian image pyramids are processed for different spectral images respectively, and the significant regions of the images at different scales are obtained through Laplacian pyramids. Next, the infrared region of interest is calculated, and through the dominant information comparison strategy, the significant regions of different spectra are compared to obtain the infrared image regions of interest at each scale. Finally, the infrared regions of interest at different scales are fused into the visible light image to obtain the fusion results of different spectra. The multi-spectral image fusion method of the present invention retains complete detail information and has strong robustness, solving the problem of limited spectral detection range of a single visible light sensor.

Aspects of the present disclosure include a filtration system. The filtration system includes a mask and a hybrid filter for use with an activated carbon-based filter and attachable to the mask. The mask may include an interface around a periphery of the mask for sealing engagement with a skin surface of a user. The hybrid filter may include a chamber configured to receive the activated carbon-based, an electro-ionic filter, and a Faraday cage. The electro-ionic filter is in series with the material-based filtration element and includes a plurality of electrodes arranged in series with each other. The electrodes of the plurality of electrodes are evenly spaced apart from each other in an alternating positive-polarity negative-polarity sequence. The Faraday cage surrounds at least the electro-ionic filter.

This invention provides a performance verification device and method for a ground-to-air frequency domain electromagnetic detection receiving system, belonging to the field of ground-to-air detection technology. It includes a transmission link for generating a standardized single-frequency excitation magnetic field, comprising an inverter and modulation module, a hybrid filtering module, a dynamic power supply amplifier module, and a transmission calibration coil module connected in sequence; and a receiving and processing link for receiving the excitation magnetic field and evaluating coil performance, comprising a receiving coil module, an attitude correction and noise suppression module, a data processing module, and a performance evaluation module. This invention enables rapid verification of the receiving device, especially in high-altitude areas, allowing for the early detection of potential equipment problems through automated processes, reducing time and economic losses caused by equipment failure.

A hybrid filter assembly for an aquatic application is provided in the form of a first filtration stage, a second filtration stage in fluid communication with the first filtration stage, a valve system in fluid communication with the second filtration stage, and a controller. The first filtration stage includes a granular media, and the second filtration stage includes a first membrane filtration module and a second membrane filtration module. The valve system is designed to selectively control fluid flow within the second filtration stage. The controller, which is in communication with the valve system, is designed to direct actuation of the valve system to fluidly isolate the first membrane filtration module from the second membrane filtration module.

In the high-frequency module (100) of the present invention, the hybrid filter includes an elastic wave filter (10) having at least one elastic wave resonator, an inductor (L11) having a winding portion (413), and a capacitor. The elastic wave filter has a plurality of external electrodes including a first input / output electrode (15) connected to a first signal terminal, a second input / output electrode (16) connected to a second signal terminal, and a ground electrode (17) connected to a ground terminal. The inductor (L11) is arranged on a first main surface (41) of a mounting substrate (4) and is adjacent to the elastic wave filter (10) when viewed from above in the thickness direction of the mounting substrate. When viewed from the direction of the winding axis (A4) of the winding portion (413) of the inductor, the inner portion (416) of the winding portion of the inductor does not overlap with any of the first input / output electrode, the second input / output electrode, and the ground electrode.

The embodiment of the invention relates to the technical field of direct current power supply, and discloses an active and passive hybrid filter circuit of a direct current bus. Comprising a passive filtering module, an active filtering module and a power supply module, and the power supply module is used for providing electric energy for the active filtering module; the passive filtering module is used for filtering interference signals on the direct-current bus by adopting a passive device; and the active filtering module is used for detecting current on the direct current bus by adopting an active device, outputting reverse injection current to the direct current bus and inhibiting interference signals on the direct current bus. The passive filtering module adopts CLC or LCLC filtering to suppress alternating current interference on the direct current bus, and the active filtering module adopts a current detection and current injection mode to offset direct current interference on the direct current bus, so that the direct current stability of the direct current bus is improved, and specified requirements are met.