103 results about "Filter design" patented technology

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 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.

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.

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.

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 invention provides a corrugated low-pass filter design method and device.The method comprises the steps that an input matching section used for input waveguide port matching, a main suppression section used for wide stop-band suppression and an output matching section used for outlet waveguide port matching are sequentially arranged in the electromagnetic wave direction to form an arrangement structure, the arrangement structure is symmetrical along the narrow side gap of the first width; arranging the band elimination units in the arrangement structure at equal intervals, determining an initial trend of a main suppression section envelope line by using an incremental function, determining initial trends of input matching section and output matching section envelope lines by using a windowing function, and determining heights of all the band elimination units according to the initial trends; and keeping the height of the band elimination unit unchanged, compressing the narrow-side gap at the center position of the filter from the first width to the second width, and adaptively adjusting the width change of the narrow-side gap to obtain the ripple low-pass filter. According to the invention, an additional impedance converter is not needed, a stop band covering a complete frequency band can be formed, and a high-frequency spurious mode is effectively suppressed.

This invention provides a control method and system for a robotic arm used in oil sample collection at a converter station. The method includes: constructing a kinematic model, a dynamic model, and a three-stage cascaded motor system model; designing a non-matched composite disturbance filter; designing a switching preset finite-time time-varying convergence function, and constructing a first control signal generation function based on the switching preset finite-time time-varying convergence function; designing a state constraint function based on dynamic boundaries, and calculating dynamic boundary parameters using the pole placement method, then substituting the dynamic boundary parameters into the state constraint function to obtain the dynamic boundaries; performing expected convergence on the first control signal generation function based on the non-matched composite disturbance filter function and the dynamic boundaries to obtain a second control signal generation function, and obtaining the control signal for the robotic arm based on the second control signal generation function. This invention can meet the requirements of high-precision, stable, and safe oil sample collection operations in the complex environment of a converter station.

The invention discloses a reconfigurable filter design method based on a numerical control adjustable zero point technology, an MOS switch array is directly driven by using a digital control signal, an external DAC is not needed to generate an analog control voltage, the problems that an analog circuit is complex, the precision is limited and the system size is increased are avoided, a mode switching module adopts a programmable multi-switch structure, and the design efficiency is improved. By changing the connection mode of the high-pass filter and the reconfigurable low-pass filter, flexible switching among all-pass, low-pass, high-pass and band-pass modes can be realized, and various filtering functions can be completed by a single chip. The whole filter structure is realized based on a standard CMOS (Complementary Metal-Oxide-Semiconductor Transistor) process, an external transmission line or a variable capacitance element is not needed, the area occupation and the parasitic effect under a low-frequency band are reduced, the system integration level and the reconfigurability are remarkably improved, and the filter realizes the effects of small size, simple control, stable frequency response and easy integration; the defects that in the prior art, the size is large, DAC control is relied on, and frequency band application is limited by a transmission line structure are comprehensively overcome.

The invention discloses a high-temperature superconducting band-pass filter design method and system, a storage medium and equipment. The method comprises the following steps: firstly, determining design indexes including center frequency, relative bandwidth and the like and an extensible structure framework formed by cascading a plurality of coupling lines and more than one branch line; respectively establishing a differential-mode equivalent circuit model and a common-mode equivalent circuit model of the filter according to a transmission line theory; then constructing a multilayer perceptron type circuit-level physical information neural network model with residual connection, inputting design indexes into the model, and embedding an equivalent circuit matrix and a target differential mode transmission function into a loss function to complete training; and outputting coupling line even-mode and odd-mode characteristic impedance and branch line characteristic impedance through the trained model, and generating a filter physical layout according to the output coupling line even-mode and odd-mode characteristic impedance and the branch line characteristic impedance. The method fuses the physical information neural network, can quickly generate the superconductive filter layout, and effectively improves the design efficiency and prediction precision.

The invention discloses an interpolation filter design method based on fuel measurement signal multi-phase decomposition, and belongs to the technical field of filter digital signal processing. According to the method, the cut-off frequency and transition band characteristics of an interpolation filter are optimized through the multi-sampling-rate conversion theory and the multi-phase decomposition technology, and filtering parameters are dynamically adjusted in combination with an adaptive algorithm; the high-precision reconstruction of a fuel measurement signal is realized; the core is that a rear digital low-pass filter is designed, a frequency spectrum compression and expansion technology is used for inhibiting an aliasing effect, and calculation efficiency is improved through a multiphase decomposition structure; the method is especially suitable for an aviation fuel measurement system, can balance data redundancy and signal fidelity under different sampling rates, and significantly improves the measurement precision and the system stability.

A variable fractional delay FIR filter optimization design method based on an intelligent optimization algorithm comprises the steps that S1, the design problem of a Farrow structure variable fractional delay filter is converted into solving of two ill-conditioned linear equation sets; s2, solving the ill-conditioned linear equation set by adopting an improved principal component weighted iterative algorithm, wherein weighting factors of the principal component weighted algorithm are associated with optimization parameters through an exponential mapping relation; s3, constructing a collaborative optimization framework by utilizing a Runge-Kutta optimization algorithm, and performing joint optimization on parameters and orders of a filter by taking an error norm of a filter coefficient vector solution as an optimization target; and iteratively solving the ill-conditioned linear equation set to obtain an optimal filter coefficient sum, and completing the filter design. According to the method, the defect of high calculation complexity of a traditional linear programming method and a second-order cone programming method is overcome, the order of the filter is further optimized while the same performance is obtained, and 28% of hardware resources can be saved.

The application relates to the field of image enhancement recognition, in particular to a construction method of a bilinear residual filter applied in coal powder particle measurement, which comprises the following steps: based on the basic principle of bilinear interpolation, inserting a scaling operator B to design a bilinear residual unit in the bilinear residual filter; from the mathematical point of view, constructing a filter through Taylor expansion and optimizing the filter by combining an optimization objective function; designing a sampling operator to make the scaling operator meet the requirement of low-frequency span in the sampling process; and considering the reciprocal relationship between scaling multiples to obtain the final optimized bilinear residual filter. The filter designed by the application can not only accurately restore edge details in the image scaling process, but also maintain stable segmentation performance in a complex environment, and provides a better solution for image processing, target detection and coal particle size measurement and the like.

The application provides an anisotropic multi-source elastic wave parallel forward method based on one-dimensional transverse grouping convolution, belongs to the technical field of geoscience and seismic detection service, and comprises the following steps: 1, anisotropic elastic wave model preparation; 2, multi-source same kind physical quantity storage reorganization; 3, parallel computing operator based on one-dimensional transverse grouping convolution; 4, parallel dispersion suppression filter design; and 5, anisotropic elastic wave forward numerical simulation precision and parallel computing efficiency test. In the multi-shot forward numerical simulation process, the same kind physical quantity matrix is reorganized into a three-dimensional tensor, parallel computing is carried out by combining a one-dimensional transverse grouping convolution operator, then a filter is used for synchronous processing of the wave field of multiple sources at a specific moment, so that the synchronous calculation of the wave field of multiple sources is realized in one sampling time. The method is a parallel scheme which takes into account the calculation efficiency, simulation precision and application cost.

The invention discloses a miniaturized broadband band-pass filter based on a transformer resonator, a design method and a filter, relates to the technical field of filters, and solves the technical problem of low efficiency caused by complex design of an on-chip filter. The design method comprises the following steps: determining a target performance index of a filter based on an application demand, and converting a prototype of the filter into a coupling matrix; performing one-to-one mapping on each element in the coupling matrix and the physical structure parameters of the filter to obtain a transformer structure layout; importing the transformer structure layout into electromagnetic simulation software for electromagnetic simulation, and outputting a multi-port S parameter model; operating circuit simulation to obtain the overall frequency response of the filter circuit, and verifying the accuracy of the preliminary design; and obtaining a final physical layout of the filter until all the performance indexes meet the requirements. The mapping relation from the coupling matrix theory to the physical layout parameters is established, a large number of simulation iterations in traditional design are avoided, and the design efficiency and the success rate are improved.

The application relates to a symmetric coefficient polyphase decimation filter design method, and belongs to the technical field of signal processing. The method can be used for high-speed signal sampling and down-conversion filtering processing. The method comprises the following steps: configuring a basic operation unit; arranging an operation unit matrix; inputting a signal delay; connecting input data; setting a filter coefficient; and outputting a result. The method adopts symmetric filter coefficients, and can effectively reduce hardware multiplier resource consumption. The method process is simple and convenient to operate, and half of the multiplier resources can be reduced by utilizing the coefficient symmetry.

Disclosed is a filter design method based on pouring data, comprising: obtaining pouring variables and configuration variables in a plurality of filter samples, and determining filtering results of the plurality of filter samples on pouring liquid; screening the plurality of filter samples based on the filtering results, and performing first processing on the pouring variables of the screened filter samples to obtain a plurality of sample characteristics, and constructing a characteristic matrix of the filter samples; constructing a prediction model by using the characteristic matrix and the configuration variables; inputting the required pouring variables after calculation and preprocessing into the prediction model, and designing the filter by using the value interval of the configuration variables output by the prediction model, so that the pouring liquid can flow through the filter faster under the premise of ensuring high impurity filtration rate, thereby improving the filtration efficiency and being conducive to the manufacturing cost control of the filtering device.

The application provides a high-voltage direct-current power supply filter optimization design method, which sets multiple design constraint conditions about insertion loss, temperature rise and magnetic flux density for the comprehensive optimization target including filter product volume, mass and cost, and simultaneously considers source impedance and realizes automatic selection of filter topological structures of all levels through a genetic algorithm in the design, so that many defects existing in the prior filter design method are overcome, and the beneficial effects of sufficiently reducing cost and reducing volume on the basis of improving filter design performance are achieved.

The application discloses a design method of a Fourier filter for semiconductor dark field defect detection, and belongs to the field of semiconductor defect detection. The method is based on Fourier optical principle to solve the spatial spectrum of a wafer surface pattern, corresponding spatial spectrum shielding needles are designed through spatial spectrum distribution, and the wafer surface pattern is filtered to effectively suppress pattern noise, highlight other types of defects on the wafer surface, and assist a dark field detection system to complete defect detection of a wafer with patterns. The method is suitable for wafers with various shapes and sizes, and since spatial spectrum analysis is unique, spectrum analysis and Fourier filter design need to be performed on wafers with different patterns. In addition, the position of filter needles for band pass filtering in the filter, the interval between the filter needles and other parameters can be changed to meet the design requirements of a required modulation wave surface, and the method has a certain degree of design freedom.

The invention discloses a reconfigurable filter design method applying an LC feedback technology, and the method comprises the steps: respectively determining a bandwidth parameter, a filter order, a transmission function parameter, a zero position and a topological structure for a reconfigurable high-pass filter and a reconfigurable low-pass filter; and a target tuning element used for adjusting the zero position is further selected, and the adjusting range of the target tuning element is determined, so that the passband edges and the zero positions of the high-pass and low-pass paths can be flexibly reconstructed in a preset range in a numerical control manner, and a relatively wide frequency and bandwidth reconstruction range is realized under a finite order condition. Meanwhile, according to the suppression degree index of the reconfigurable high-pass filter in the target out-of-band frequency band, an LC feedback network is introduced into the terminal unit, an additional transmission zero point is formed at a preset high-frequency position, out-of-band far-end suppression and frequency selectivity are improved, and high-frequency interference leakage is suppressed.

This invention discloses a design method for a three-dimensional passive lumped low-pass filter based on TSV (Through-Spirit Transformer). The method includes: determining the electrical parameters of each filter element in the passive lumped low-pass filter based on the performance indicators and selection results of the low-pass filter, and constructing the circuit structure diagram of the low-pass filter; determining the process parameters of the TSV three-dimensional integrated inductor using a computational model of a three-dimensional integrated spiral inductor; determining the process parameters of the coaxial TSV capacitor using a computational model of a coaxial TSV capacitor; and performing simulations based on the process parameters of the TSV three-dimensional integrated inductor and the coaxial TSV capacitor to complete the design of the three-dimensional passive lumped low-pass filter. The low-pass filter designed in this invention uses TSV technology to design a three-dimensional integrated spiral inductor and a coaxial TSV capacitor, resulting in good compatibility with integrated circuit processes and ease of three-dimensional integration. Furthermore, the use of a three-dimensional spiral inductor and coaxial TSV capacitor design significantly reduces the area of ​​the inductor and capacitor, facilitating integration and miniaturization.

The invention relates to a local mismatched filter design based on a radar communication integrated waveform. The local mismatched filter design comprises the following steps: acquiring M discrete transmitted waveform vectors planned to be transmitted within a coherent processing interval; constructing a weighted summation optimization problem model based on the M transmitted waveform vectors; carrying out iterative solution on the optimization problem model by adopting an alternating direction multiplier method, and outputting M local mismatched filter coefficient vectors; wherein the M local mismatched filter coefficient vectors are respectively matched with the M discrete transmitted waveforms, and are used for carrying out filtering processing on the received echo signal at a receiving end of the radar communication integrated system so as to suppress distance sidelobe modulation and improve the moving target detection performance. The method can be applied to receiving end processing, the RSM effect can be fundamentally suppressed, clutter responses of different pulses can be effectively aligned and cancelled in cancellation processing, and therefore the moving target detection capacity of a system under the strong clutter background is remarkably improved.

The application discloses a sea depth prediction method and system based on a variational filtering method and a baseband removal method, and a storage medium, relates to the technical field of geographic information data processing, and comprises the following steps: obtaining a gravity anomaly residual frequency domain signal and a ship-surveyed sea depth residual frequency domain signal; performing filter design to obtain a sea depth filter and a gravity anomaly filter; performing filtering to obtain a ship-surveyed sea depth mid-wave frequency domain signal and a gravity anomaly mid-wave frequency domain signal; obtaining a target area mid-wave predicted sea depth, a target area long-wave predicted sea depth and a target area short-wave predicted sea depth; and obtaining a target area predicted sea depth. In the scheme, the existing discrete data is used to obtain the target area predicted sea depth from the signal decomposition angle based on the semi-physical set and the semi-data fusion driving mode, the existing data is constrained in a fuzzy and wide range, the application range is widened, the experience interference is reduced, the time consumption is reduced while the result convergence is ensured, and the sea depth prediction effect is good.

The invention relates to an acousto-optic tunable filter (Acoustical-optical tunable filter-AOTF), which is an electrically controlled tunable spectrum light splitting device, and is characterized in that the acousto-optic tunable filter (Acoustical-optical tunable filter-AOTF) is an electrically controlled tunable spectrum light splitting device. In a complex task, single-band information is often insufficient to support a decision, so that the invention provides a design method of a single transducer-dual-band acousto-optic tunable filter, a numerical calculation model is established through a dual-band wave vector geometry principle, and a dual-band tuning relationship under different cutting types is obtained. And furthermore, the design of the dual-band AOTF device with high diffraction efficiency and low power consumption is realized through the size optimization design of the transducer. Compared with an existing AOTF device design method, the single-transducer-dual-waveband AOTF device design method can utilize a single simple single-transducer AOTF device to obtain dual-waveband spectral data at the same time, the spectral range is expanded, the spectral detection efficiency is improved, and the detection capacity for a dynamic target is improved. Meanwhile, the dual-band detection can reduce the frequency of electrical power loading of the transducer, the thermal load of the device is reduced, and the working stability of the device is improved.

The application discloses a kind of optimization distributed filtering method of target tracking system under work cycle scheduling strategy, the method is as follows: one, the dynamic model of target tracking system with state constraint and probability quantization is established;Two, distributed filter design is carried out to dynamic model under work cycle scheduling;Three, the upper bound of one-step prediction error covariance matrix is calculated;Four, filter gain matrix is calculated;Five, it is obtained in distributed filter by substituting, whether the total length of sensor network is reached, if, then execute six, if, then end operation;Six, the upper bound of filtering error covariance matrix is calculated;Let, execute two, until meet. The application solves the problem that existing distributed filtering method cannot simultaneously process sensor network with state constraint, probability quantization and work cycle scheduling, leading to the problem of reduced filtering performance.

The utility model belongs to the technical field of industrial automation measurement and control, and discloses an isolation type thermal resistance temperature signal conditioning system, which comprises a constant current source circuit; an amplification circuit; a VF conversion circuit; an FV conversion circuit; a low-pass filter circuit; and a linearization circuit. According to the utility model, the instrument amplifier with a high common-mode rejection ratio is adopted to suppress common-mode noise, the hardware filtering design is optimized, multi-stage low-pass filtering is adopted to eliminate power frequency harmonic waves, and a mirror image constant current source is adopted to enhance the stability; a reverse protection circuit is added in a double-TVS diode clamping mode, and a wide input voltage range power supply chip is properly selected. VF / FV conversion time sequence control is adopted, a scheme of dynamically adjusting cut-off frequency is adopted, filtering parameters are automatically switched according to a signal variable rate, and noise suppression and response speed are balanced.