306 results about "Filter design" patented technology

The invention discloses a dual-compensation active common-mode EMI filter based on impedance mismatch and a design method thereof, and belongs to the technical field of filter design, the dual-compensation active common-mode EMI filter is connected between an interfered end and an interference source end, the dual-compensation active common-mode EMI filter comprises a voltage sampling circuit, a signal amplification circuit and a compensation circuit, the compensation circuit comprises a voltage injection module and a current injection module, the first end of the voltage injection module is connected with the first end of the voltage sampling circuit, the second end is connected with the second end of the signal amplification circuit, and the third end is connected with the first end of the interference source end; the first end of the current injection module is connected with the second end of the signal amplification circuit, the second end is connected with the third end of the voltage injection module, and the third end is connected with the second end of the interference source end. According to the invention, the insertion loss of the filter can be significantly improved, the filter has an effective bandwidth enough to cover and conduct electromagnetic interference, has better attenuation on full-band noise signals, and has the advantages of small size and high insertion loss.

The invention belongs to the technical field of information security, and particularly relates to an unmanned surface ship fusion filtering method with sensor saturation under FDI attack. Constructing a discrete time multi-sensor network system model, constructing a real number matrix inequality optimization filter design based on linear and nonlinear functions, and enabling filtering to show exponential stability under the mean square meaning; and according to local filter parameters, a distributed fusion filter is designed to resist FDI attacks. The anti-interference capability and the data fusion precision of the unmanned surface ship in a severe environment are improved by using an optimization design and a distributed strategy.

The invention discloses an online iterative learning control method and device based on bidirectional frequency binary search, and belongs to the technical field of tracking control, and the method comprises the steps: building a piezoelectric positioning system, and enabling the piezoelectric positioning system to have a certain low-frequency disturbance suppression capability while keeping stable through adjusting the parameters of a proportional-integral controller; constructing a control structure combining a YK parameterization method and iterative learning control; constructing a robust filter in iterative learning control by adopting a filter design method of a parallel cascade composite structure; a differential parameter constraint space is set for each filter based on a bidirectional frequency binary search method, and iterative updating of filter parameters is driven in a time domain by taking norm minimization of system errors as an optimization target, so that continuous optimization of online disturbance suppression performance is realized. According to the method, YK parameterization and an iterative learning control structure are combined, and the stability of the piezoelectric positioning system in the whole frequency domain can be ensured.

The invention relates to the technical field of electromagnetic compatibility, in particular to a new energy automobile electronic part EMC (Electro Magnetic Compatibility) multi-dimensional simulation verification method, which comprises the following steps of: based on a geometric structure and material attributes of a new energy automobile electronic part, identifying an abnormal field intensity region, extracting a signal path and an electromagnetic wave incident direction, and analyzing an overlapping relationship between the signal path and the electromagnetic wave incident direction; according to the method, the electromagnetic field distribution and the interference source of the parts are accurately modeled and analyzed, the shielding and filtering design is optimized, the electromagnetic compatibility is improved, the interference coupling point is identified, the shielding effectiveness and the filtering effect are evaluated, the optimization policy is identified, the electromagnetic field distribution after optimization is analyzed, the fluctuation data of the external electromagnetic field is captured, and the influence evaluation list of the external electromagnetic field is generated. The reliability of the design under actual working conditions is ensured, electromagnetic interference is prevented, stable work of parts in a variable electromagnetic environment is ensured, the electromagnetic compatibility of the whole automobile is improved, the influence of electromagnetic interference on the functions of the new energy automobile is reduced, the design effect is optimized, and the performance and safety are improved.

The invention discloses an LTCC Ka-band millimeter wave broadside coupling band-pass filter and a simulation optimization method thereof, relates to the field of filter simulation, and remarkably improves the performance of the LTCC Ka-band millimeter wave band-pass filter through an integrated thermal management strategy and accurate parasitic parameter control in combination with a multi-objective optimization algorithm. The thermal stability and long-term reliability under high-frequency operation are ensured, meanwhile, the design process is optimized, and high precision and high efficiency of filter design are achieved.

The invention discloses an intelligent design method for a low-pass filter based on reinforcement learning. The method comprises the following steps: step 1, obtaining structural parameters of the low-pass filter for matrix representation; 2, constructing a reinforcement learning environment based on a deep reinforcement learning framework, and taking a result of the step 1 as state input; 3, designing an intelligent agent, and enabling the intelligent agent to interact with the environment established in the step 2 based on a deep reinforcement learning framework; step 4, according to an interaction result of the step 3, converting a performance index of the low-pass filter into corresponding reward functions # imgabs0 # and # imgabs1 #, and taking a difference value # imgabs2 # between a reward corresponding to a current state and a reward corresponding to a previous state as a final reward to guide an optimization process; and step 5, after the model reaches a predetermined training target, determining final parameters of the low-pass filter according to the structure parameters obtained by final adjustment. Through the systematic steps, intelligent optimization of the low-pass filter design can be achieved, and the design efficiency and the filter performance are remarkably improved.

The invention discloses a joint design method for an MIMO radar and interference integrated system transceiver, and belongs to the technical field of radar signal processing and electronic warfare. Aiming at the problems of spectrum resource waste, equipment redundancy and electromagnetic compatibility caused by separation of radar detection and interference functions in the prior art, the invention provides an AOFP-based combined waveform and filter design method. A multi-target optimization problem is constructed under energy constraint and peak-to-average ratio limitation, SJNR of a minimum interference target and SJNR of an IRAJ system are taken as targets, a closed-form solution is generated by using a scaling technology, fractional programming and a PML method, and dynamic balance of radar detection and interference functions is realized. The designed waveform has high anti-interference capability and concealment, supports space diversity and time-frequency joint modulation of an MIMO system, and analyzes and verifies strong target echo characteristics and interference suppression performance through a fuzzy function. The calculation complexity of the algorithm and the number of antennas are in a cubic relationship, the convergence speed is high, the comprehensive efficiency of a combat platform in a complex electromagnetic environment can be remarkably improved, and the method is suitable for a new generation of cognitive electronic warfare systems.

The invention discloses a system Gaussian filter design method for multi-step measurement of random delay and colored measurement of noise. A first-order autoregression model is introduced to whiten the colored measurement noise, and a system with the colored measurement noise is converted into a nonlinear system with normal white noise; modeling delay measurement data by means of a Bernoulli random variable, processing multi-step random delay by taking new system measurement noise as a state increment, realizing one-step prediction of delay measurement information, and finally establishing a nonlinear system state model and a measurement model with multi-step measurement random delay and colored measurement noise. And an unscented transformation mode is adopted to approximate non-Gaussian weighted integral, and an unscented Kalman filtering algorithm under the conditions of multi-step measurement random delay and colored measurement noise is provided. According to the method, the accuracy of the filter in processing multi-step measurement random delay and colored measurement noise is improved, the deviation in a filtering result is reduced, and higher precision and better numerical stability are achieved.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The disclosure provides a method and a device for filtering-based channel estimation. A method comprises configuring a filter design with a stopband region between at least two bandpass regions in a time domain associated with channel behavior, suppressing, via the filter design, multi-user interference (MUI) or orthogonal cover code (OCC) interference in the time domain, and providing frequency domain-based channel estimation (CE) based on the filter design.

The invention discloses an LLCL filter design method, and relates to the technical field of power electronics. The method comprises the following steps: acquiring an initial filter capacitance, an initial inverter side filter inductance, a power grid side filter inductance and a target frequency; calculating filtering branch inductance based on the filtering capacitance and the target frequency; calculating a positive harmonic peak frequency based on the filter capacitor, the inverter side filter inductor, the power grid side filter inductor and the filter branch inductor; calculating damping resistance, damping inductance and damping capacitance based on the positive harmonic peak frequency, the filter capacitance, the resonant frequency value constraint, the first value range constraint and the second value range constraint of the quality factor; and when the target parameter does not meet the grid-connected current harmonic standard, updating the filter capacitor and / or the inverter side filter inductance, and skipping to the step of calculating the filter branch inductance based on the filter capacitor and the target frequency so as to carry out iteration until the grid-connected current harmonic standard is met. According to the embodiment of the invention, the design optimization of the parameter value of the filter element in the LLCL filter is realized.

The invention provides a high-frequency filter for a silicon carbide controller and a design method of the high-frequency filter, the high-frequency filter comprises a large runway type magnetic ring, a small runway type magnetic ring, an X capacitor, a Y capacitor and an integrated filter structure for loading the filter elements, and the miniaturization of the filter is realized. The design method specifically comprises the following steps: calculating the frequency of an interference source and a conducted interference voltage transfer gain upper limit; determining an initial topological structure and an optimization sequence; initializing the element value of each element of the filter circuit; carrying out element value iterative optimization by a genetic algorithm; modifying a contemporary optimal element individual; judging whether the element composition can be optimized or not; changing the sequence or topological structure of filtering elements; and calculating whether each element meets the optimal filter scheme of the constraint condition. The invention aims to solve the problem that the traditional filter design is difficult to effectively deal with high-frequency electromagnetic interference caused by a silicon carbide controller for a new energy vehicle.

An apparatus (10, 110) comprising: means for transmitting, to a second apparatus (120), first information (901) indicative of a capability of the apparatus to adapt at least one of: a design of a frequency-domain spectral shaping, FDSS, filter (902) for FDSS-based orthogonal frequency division multiplexing, OFDM, transmission, or a spectral extension parameter (903) for use in FDSS-based OFDM with spectral extension transmission; means for receiving, from the second apparatus based at least in part on the transmitted first information, second information (904), wherein the second information comprises information for configuring the apparatus to operate in an operational mode (906) for generating training data for training a machine learning, ML, based FDSS filter; and means for operating in the operational mode, wherein the operation in the operational mode is based at least in part in on the second information, and wherein operating in the operational mode comprises: transmitting, using at least a first configuration of the FDSS filter design (909) or a first spectral extension parameter (910), at least a first FDSS-based OFDM transmission (908) to the second apparatus.

A method and device for filtering-based channel estimation. A method comprises configuring a filter design with a stopband region between at least two bandpass regions in a time domain associated with channel behavior, suppressing, via the filter design, multi-user interference (MUI) or orthogonal cover code (OCC) interference in the time domain, and providing frequency domain-based channel estimation (CE) based on the filter design.

The invention discloses a fusion type distributed optical fiber vibration sensing system with broadband response, which is suitable for high-precision acoustic signal measurement and spatial position positioning. The system comprises an acoustic measurement unit, a position measurement unit and a data acquisition synchronous control module which are respectively used for acquiring high-frequency vibration information and positioning low-frequency signals, has the sensing capabilities of wide band, high resolution and high signal-to-noise ratio, and realizes signal synchronization by adopting phase-locked control and high-sampling-rate data acquisition, so that the accuracy of signal synchronization is improved. And the signal stability and the signal-to-noise ratio are improved through polarization control and filtering design. The method supports frequency feature extraction, accurate identification and spatial positioning of the vibration event, and is suitable for pipeline structure monitoring, fault diagnosis and other engineering application scenes in a complex environment.

The invention discloses a PCB electromagnetic compatibility evaluation method and system, and the method comprises the steps: obtaining first feature data corresponding to a target PCB, and analyzing the first feature data to obtain a first training data set of different dimensions, the dimensions comprising a lamination design, a layout design, a wiring design, a ground design, an interface filtering design and a shielding case design; performing parameterization processing on the first training data set to obtain a second training data set, and training the second training data set through a full-connection network to obtain an electromagnetic compatibility evaluation model; acquiring second feature data corresponding to the PCB to be evaluated, and analyzing the second feature data to obtain a feature vector; and inputting the feature vector into the electromagnetic compatibility evaluation model to obtain an evaluation result. According to the invention, the accuracy and efficiency of PCB electromagnetic compatibility evaluation can be improved, the quality and efficiency of PCB design are further improved, and the applicability is wide.

The invention relates to the field of inter-satellite ranging, in particular to a GRACE-FO inter-satellite ranging data processing method based on improved CRN filtering, and the method comprises the steps: constructing an LRI1A data preprocessing process in a low-order gravity satellite detector, reading LRI1A-M and LRI1A-T phase measurement original data, and carrying out the phase unwrapping and time mark correction processing; calculating a gain fluctuation level at an orbit frequency, and selecting a low-pass filter design parameter index; constructing an FIR digital filter based on a window function method, calculating time domain tap coefficients of a CRN filter and an improved filter, and carrying out normalization processing at an orbital frequency; according to an LRI biased distance calculation principle, calculating an inter-satellite biased distance and an inter-satellite distance, a rate and an acceleration after low-pass filtering; zero filling is carried out on the offset distance between satellites, the amplitude-frequency response and phase-frequency response characteristics of the offset distance between the satellites are calculated, and the improved filtering algorithm has great advantages in the aspects of improving passband flatness, enhancing high-frequency noise suppression and shortening the order of the filter. According to the invention, the precision and stability of gravitational field inversion are significantly improved.

A method of processing video data performed by a decoder includes: decoding a bitstream to obtain video data and coding information, the coding information comprising weighting map indication information for defining a weighting map and filter coefficients optimized for the weighting map; obtaining a picture block based on the video data; upsampling the picture block; determining the weighting map using the weighting map indication information; and obtaining an enhanced picture block by applying a signal enhancement filter using the filter coefficients, together with the weighting map, to the upsampled picture block.

The invention provides a reverse design method for a multi-layer frequency selective surface filter based on machine learning, which combines topology modeling and parameter modeling and comprises the following steps of: constructing a multi-layer frequency selective surface microwave filter structure, namely constructing a filter structure comprising a metal resonance patch and key physical parameters; a training data set construction step: constructing a training data set including an input and output data set; and a machine learning model training and reverse design step: training the data set by using a Res-MLP network, inputting a target electromagnetic response on the trained model, fitting a filter structure through the Res-MLP network, and realizing reverse design. According to the method, hybrid modeling is realized by combining topology modeling and parameter modeling, the FSS filter with a specific layer number and structure is deduced according to requirements, the filter design with higher design freedom and application frequency band is realized, and the FSS filter design outside the training frequency band can be realized based on the frequency band offset of the FSS under the low-dispersion or non-dispersion material.

The invention relates to the technical field of radio frequency filters, in particular to a 13GXBAR filter design method based on a lithium niobate film. The Euler angle of the lithium niobate thin film is subjected to simulation setting in finite element simulation software, admittance responses under different cutting angles are obtained, an admittance curve with a large electromechanical coupling coefficient and complete stray mode suppression is obtained, the tangential angle is used for simulating an electrode material, the interdigital logarithm, the interdigital distance, the thin film thickness and the metallization ratio, and an admittance curve with a large electromechanical coupling coefficient and complete stray mode suppression is obtained. The method comprises the following steps of: constructing a plurality of resonators, obtaining impedance of each resonator, obtaining material parameters of the corresponding resonator, constructing a three-dimensional force-electricity coupling model of the lithium niobate resonator, carrying out layout design on the physical model in finite element simulation software through a field-circuit coupling method, and coupling force-electricity-sound multi-physical fields to obtain an S parameter curve of the designed XBAR filter; and whether the S parameter result is consistent with the target is verified, so that the forward design of full-simulation driving is realized.

The invention discloses a design method and device for an angle filter of a non-periodic multilayer film structure and the filter, and the design method comprises the steps: constructing a fitness function, the input quantity of the fitness function being transmissivity, and the output quantity of the fitness function being a fitness value representing the performance of the angle filter; within a preset thickness range, determining the initial thickness of each layer of dielectric film as the current thickness; importing the current thickness into a transmission matrix to calculate the transmissivity of the corresponding aperiodic multilayer film structure; inputting the transmissivity into a fitness function, judging whether an output fitness value reaches a preset threshold value or not, if the output fitness value does not reach the preset threshold value, optimizing the current thickness of each dielectric film, and recalculating the corresponding transmissivity according to the optimized thickness so as to iteratively calculate the fitness function, and taking the current thickness of each layer of dielectric film as a design result until the fitness value output by the fitness function reaches a preset threshold value. The filter designed by the invention can realize good bandwidth and thickness robustness.

This invention discloses a filter physical perception optimization method based on residual attention and transposed convolution, comprising the following steps: constructing a filter characteristic prediction surrogate model based on residual self-attention mechanism and transposed convolution decoding to establish a nonlinear mapping relationship between filter geometric parameters and electromagnetic response parameters; training the filter characteristic prediction surrogate model using an S-parameter weighted mean square error loss function to obtain a trained filter characteristic prediction surrogate model; and using a physical perception-improved differential evolution algorithm, employing the trained filter characteristic prediction surrogate model as a predictor to find the optimal combination of geometric parameters that satisfies the filter design specifications in the solution space. This method is a filter optimization design method that balances high-precision prediction and high-efficiency optimization. This method can predict the S-parameters of microwave filters more accurately than traditional neural networks, effectively replacing time-consuming full-wave electromagnetic simulation.

The present invention provides a method for designing a pass-stopband response weighted constrained adaptive spatial filter, which belongs to the field of array signal processing technology. The present invention performs weighted constraints on the passband response error and constrains the stopband response at the same time, so that the overall output response is minimized. By designing a spatial filter through an optimization problem and converting it into a solution to the optimization problem, the optimal solution of the filter is obtained mathematically. The filter design described in the present invention is highly efficient and has a wide range of applications. It can suppress interference signals of various spatial incident models and can achieve a balance in the response errors in all directions of the passband.

A robot force control method based on a diffusion model belongs to the field of robot control, and comprises the following steps: collecting 6D force / torque data and pose data of a robot end effector, and preprocessing the collected data; constructing a diffusion model and training; designing and integrating a dynamic system filter; force control instruction generation and robot control closed loop: collecting a current tail end pose and historical five frames of 6D force / torque data in real time, inputting the data into a diffusion model for reasoning, and inputting a predicted value output by the diffusion model into a dynamic system filter to generate a real-time force control instruction; and the force control instruction is converted into the pose adjustment amount of the robot end effector according to the robot dynamic model, the pose adjustment amount is sent to the robot controller, the robot is driven to execute actions, and the force control effect is verified through the next round of data acquisition. According to the method, the zero sample migration capability and robustness are remarkably improved, the real-time performance and the control frequency matching degree reach the standard, the task application range is expanded, and the economic and social benefits are remarkable.

The application belongs to the technical field of electromagnetic compatibility control design, and particularly relates to a marine low-ground-capacitance filter design method. The method specifically comprises the following steps: firstly, using an inductor as a main filter device, for a low-frequency band below 100 kHz, a magnetic core of the inductor uses an iron-based nanocrystalline material, for a low-frequency band from 100 kHz to 1 MHz, the magnetic core of the inductor uses MnZn magnetic material, and for a high-frequency band above 1 MHz, the magnetic core of the inductor uses NiZn magnetic material; secondly, based on the designed inductor, a multi-stage filter circuit combining low frequency and high frequency is designed; the filter circuit comprises: a plurality of common-mode inductors connected in series, a differential-mode capacitor Cx connected in parallel to both ends of the common-mode inductor, a common-mode capacitor Cy connected in parallel between a live wire and the ground, and a common-mode capacitor Cy connected in parallel between a zero wire and the ground; finally, modular packaging and glue filling are performed, so that the inductor of the filter circuit is parallel to the shell, the center position of the filter circuit is located at the center position of the shell, and overall insulation glue filling is not performed.

The utility model relates to the technical field of thermal steady-state salt treatment devices, in particular to a detachable pre-filtering cleaning device for removing thermal steady-state salt, which comprises a pretreatment box, a plurality of groups of longitudinal parallel filter screens which are detachably mounted and a pH (potential of hydrogen) adjusting bin. The filter screen is of a two-section type plate frame structure, plate frames on the two sides are connected with inserting plates through inserting grooves and provided with supporting and moving assemblies, a screw cylinder is rotated to drive a screw rod, and the plate frames are controlled to move relatively so as to compress the end buffering sealing gasket or be separated and detached. The supporting transfer rods and the fastening plates are matched with the inner wall of the pretreatment box to achieve stable positioning. According to the device, quick mounting and dismounting are realized through modular design, the problem that a traditional fixed filter screen is inconvenient to clean is solved, meanwhile, the multi-stage filtering design is adaptive to different particle impurities, and the pre-filtering efficiency and the stability of an amine liquid treatment system are improved.

The invention discloses a pouring data-based filter design method, which comprises the following steps of: acquiring pouring variables and configuration variables in a plurality of filter samples, and determining a pouring liquid filtering result of the plurality of filter samples; screening a plurality of filter samples based on the filtering result, performing first processing on pouring variables of the screened filter samples to obtain a plurality of sample features, and constructing a feature matrix of the filter samples; constructing a prediction model by using the feature matrix and the configuration variables; the required pouring variables are calculated and preprocessed and then input into the prediction model, and the filtering piece is designed according to the value interval of the configuration variables output by the prediction model, so that the pouring liquid flows through the filtering piece more quickly on the premise of ensuring the high impurity filtering rate, the filtering efficiency is improved, and meanwhile, the manufacturing cost control of the filtering device is facilitated.

An apparatus (10, 100) comprising: means for transmitting, to a second apparatus (120), first information (1101) indicative of a capability of the apparatus to adapt at least one of: a design of a first frequency-domain spectral shaping, FDSS, filter (1102) for FDSS-based orthogonal frequency division multiplexing, OFDM, transmission, wherein the first FDSS filter design is matched with a design of a second FDSS filter of the second apparatus, and wherein at least one of the first or second FDSS filter designs has trainable operational parameters; or a spectral extension parameter (1103) for use in FDSS-based OFDM with spectral extension transmission; means for receiving, from the second apparatus based at least in part on the transmitted first information, second information (1104), wherein the second information comprises information for configuring the apparatus to operate in an operational mode (1106) for training the operational parameters of at least one of the first or second FDSS filter designs; and means for operating in the operational mode, wherein the operation in the operational mode is based at least in part in on the second information, and wherein operating in the operational mode comprises: transmitting, using at least a first configuration of the first FDSS filter design (1109) or a first spectral extension parameter (1110), at least a first FDSS-based OFDM transmission (1108) to the second apparatus; receiving, from the second apparatus, third information (1112), for use in training the operational parameters of the first FDSS filter design, wherein the third information is based at least in part on the first FDSS-based OFDM transmission received at the second apparatus via the second FDSS filter design; and training the operational parameters of the first FDSS filter design based at least in part on: the first FDSS-based OFDM transmission, and the third information.

This invention discloses a miniaturized, wide-stopband low-pass filter design method, covering 3D model design, simulation optimization, circuit fabrication and testing, and design verification based on dielectric integrated suspension line technology. The core of the low-pass filter design is based on dielectric integrated suspension line technology. Furthermore, the core circuit of this filter employs three layers of surface-mount capacitors and a double-layer spiral inductor to reduce circuit size, while combining a honeycomb structure to extend the stopband. Compared to traditional circuit designs, the implemented filter exhibits self-encapsulation characteristics, achieving low insertion loss and an ultra-wide stopband range, providing an important basis for filter performance optimization.

The present invention discloses a high-performance sonar bandpass filter design method. The method uses a dual-channel operational amplifier and two universal filter chips in cascade, configures the peripheral resistors and peripheral capacitors of each second-order filter module according to system indicator requirements, and then performs fine-tuning through simulation to achieve the design of an ultra-high-order bandpass filter that can meet the ultra-high performance bandpass filter requirements of most sonars. At the same time, the number of configured peripheral components is relatively small, which facilitates design and debugging.

The invention relates to an accurate photodetector measurement for LIDAR. A light ranging system may include a laser device and an imaging device having a light sensor. A laser device irradiates a scene with laser pulsed radiation that is reflected from an object in the scene. The reflection may vary greatly depending on the reflective surface shape and reflectivity. The signals measured by the light sensor may be filtered with several matched filters designed according to the curves of different reflected signals. The best matched filter can be identified, and thus information about the reflective surface and accurate ranging information can be obtained. The laser pulse radiation may be emitted in coded pulses by allowing weights of different detection intervals. Other enhancements include interleaving laser pulses and changing the operating state of a photodetector of a pixel sensor, as well as efficient signal processing using a sensor chip including processing circuitry and a photosensor.