16 results about "Unit impulse response" patented technology

The invention discloses a flood discharge gate structure dynamic load time domain rapid identification and dynamic response field inversion method comprising the following steps: 1) carrying out a vibration test of a flood discharge gate structure, and obtaining a multi-source vibration response signal of the flood discharge gate structure; 2) constructing a unit impulse response matrix H and a load shape function matrix N; 3) establishing an inverse analysis model X = HNA for dynamic load time domain identification of the flood discharge gate structure; 4) inversely solving the load shape function coefficient matrix A to obtain a dynamic identification load of the flood discharge gate structure; and 5) inputting the identification load as an external load of the sluice structure to obtain an overall dynamic response field of the sluice structure.The method is based on the multi-source actual measurement vibration response of the sluice structure, the improved dynamic load time domain identification method based on the shape function is adopted, the time domain load of the sluice structure can be rapidly and effectively identified, and the identification accuracy is high.

The application provides a lateral control method and device based on a vehicle dynamic prediction model, and the method comprises the following steps: inputting a first steering wheel steering angle in a target time window obtained in advance into the vehicle dynamic prediction model; performing convolution on the input first steering wheel steering angle in the target time window and a unit impulse response of the vehicle dynamic prediction model, to obtain a predicted yaw rate; and obtaining a predicted steering wheel steering angle based on the predicted yaw rate and a pre-established cost function. The application improves the accuracy of the predicted steering wheel steering angle, reduces the adjustment of an actuator while ensuring the accuracy, improves the durability of the actuator, and reduces the total cost of ownership (TCO); in addition, a large amount of operation data is used to iteratively optimize the constraint conditions in the algorithm, so that the automatic driving behavior is more accurate.

The embodiment of the application relates to the technical field of cognitive radar, and provides a cognitive radar constant modulus waveform design method and device based on maximum signal-to-clutter-noise ratio, the method comprising: obtaining a feedback signal echo obtained after a cognitive radar transmitting signal, wherein the feedback signal echo comprises a target echo component and a clutter echo component, the target echo component is output after the transmitting signal is convolved with a unit impulse response of a target, and the clutter echo component is output after the transmitting signal is reflected by a clutter scattering point; calculating a signal-to-clutter-noise ratio of an output signal after a matched filter based on the feedback signal echo; obtaining an optimal energy spectrum density of the transmitting signal when the signal-to-clutter-noise ratio is maximum under a preset energy constraint condition; and determining a target constant modulus signal waveform based on the optimal energy spectrum density. Therefore, the radar waveform is dynamically adjusted through the interaction between the radar and the environment, better adaptability is achieved in a complex clutter environment, the balance between time domain and frequency domain characteristics is maintained, and target detection performance is improved.

The invention discloses a non-stationary pupil signal blind source separation method based on a Gamma unit impulse response model. Compared with the prior art, the method has the advantages that the ecological effectiveness of clinical evaluation is improved; high-precision verification with zero hardware cost is realized; and the problem of time sequence asynchronization of physiological signals is solved.

The present invention relates to the field of wind tunnel testing technology, and in particular to a method and device for dynamic calibration of a model force measurement system, wherein the method comprises: horizontally suspending a model; obtaining multiple sets of hammer input data and output data of each component by tapping to solve the six-component unit impact response function corresponding to the axial force, normal force and pitching moment; rolling the model 90 degrees, obtaining multiple sets of hammer input data and output data of each component by tapping to solve the six-component unit impact response function corresponding to the lateral force and yaw moment; installing a baffle and tapping the baffle to obtain multiple sets of hammer input data and output data of each component to solve the six-component unit impact response function corresponding to the rolling moment; and obtaining a unit impulse response function matrix representing the corresponding relationship between the output data of each component of the model force measurement system and the actual input dynamic load. The present invention can accurately calibrate the model force measurement system used in the zero-stiffness support aerodynamic measurement technology.

The invention belongs to the field of numerical control, and discloses a method and equipment for predicting the actual position of a feeding system. The method comprises the following steps: carrying out equal-ratio scaling on an impulse response to obtain a unit impulse response; the input of the feeding system and the unit impulse response are substituted into convolution operation to obtain prediction output of a main response model of the feeding system; nonlinear factors are obtained through calculation after identification according to operation information of the feeding system; unit pulse response of nonlinear factors is obtained according to error identification of the feeding system; substituting the non-linear factor and the unit impulse response of the non-linear factor into convolution operation to obtain prediction output of the residual response model of the feeding system; and adding the two preset outputs to obtain the prediction of the actual position of the feeding system. According to the method, the system response generated by the excitation signal of the single period of the feeding system is subjected to the convolution operation to predict the linear output and the nonlinear output so as to obtain the prediction of the actual position, and the accuracy and generalization of the prediction of the actual position of the feeding system are improved.

The invention discloses a frequency-invariant broadband shaping directional diagram synthesis method based on a superposition principle, and relates to the field of array signal processing. The method comprises the following steps: firstly, based on a Taylor weighted directional diagram comprehensive method and a superposition principle, obtaining an array excitation vector under each sampling frequency point on the premise of giving an expected directional diagram; and then, solving an FIR filter coefficient according to the obtained array element excitation corresponding to each frequency sampling point. And finally, constructing a filter according to the FIR filter coefficient to obtain an expected broadband array directional diagram comprehensive result. The invention provides a full analytical expression of the finite impulse response (FIR) filter coefficient during synthesis of the broadband directional diagram, solves the problem that the calculation amount is large due to the fact that an optimization algorithm needs to be used for iterative solution for multiple times when the FIR coefficient is calculated by the existing method, and has real-time synthesis capability and engineering application significance.

The invention relates to the technical field of geophysics, in particular to a high-speed rail seismic source wavelet estimation method and system for full waveform inversion. The method comprises the steps that unit impulse response data and high-speed rail seismic source vibration data are acquired, and forward modeling calculation is conducted on the unit impulse response data and the high-speed rail seismic source vibration data through a finite difference method to obtain unit impulse response signals and high-speed rail seismic source vibration signals. According to the method, simplified modeling is carried out on a high-speed rail vibration source running on a viaduct, a train is equivalent to a plurality of moving point force sources excited at piers, a vibration source function formed by delay superposition of a plurality of axle load functions is constructed, and the spatial and temporal variation characteristics of high-speed rail vibration are accurately described. In the frequency domain, the Newton method is utilized to directly solve the real part and the imaginary part of the seismic source wavelet, and an objective function has a linear characteristic, so that an analytical solution can be obtained in one step, the iterative convergence problem is avoided, and the calculation cost is remarkably reduced.

This invention belongs to the field of atmospheric data processing technology. It proposes a method and system for three-dimensional reconstruction of temperature data based on biquadratic spline interpolation. The method reads temperature data and corresponding altitude information of discrete pressure layers, constructs a regularized three-dimensional data structure, and calculates the average physical altitude of each pressure layer. For each pressure layer, a quadratic spline interpolation method with natural boundary conditions is used to construct a two-dimensional continuous horizontal basis function using the grid point temperature data as known values. Using the average physical altitude of each pressure layer as nodes, a quadratic spline vertical weight function satisfying the unit impulse response condition is constructed and normalized. For arbitrary target altitude and latitude / longitude coordinates, the two-dimensional continuous horizontal basis function and the normalized vertical weight function are fused by a weighted summation method to obtain a continuous three-dimensional temperature field. This invention achieves high-precision continuous reconstruction of the temperature field in three-dimensional space.

The invention discloses an improved regularized radial gate support arm pulsating load time domain identification method, and belongs to the technical field of radial gate flood discharge vibration monitoring. Comprising the steps of collecting a vibration signal and performing noise reduction; constructing a three-dimensional finite element mathematical model of the radial gate support arm and calculating a unit impulse response function matrix; displacement response of the radial gate support arm under discharge excitation is obtained through Duhamel integration, and an inverse analysis mathematical model is constructed; solving is carried out through a Tikhonov regularization algorithm, regularization parameters are obtained through an ICAA regularization selection method, and the inverse analysis mathematical model is corrected; the vibration displacement response obtained after noise reduction serves as input, iterative solution is conducted on the corrected inverse analysis mathematical model, and the water flow pulsation load is obtained. According to the method, the difficulty that the pulsating load cannot be directly measured or the pulsating load S cannot be solved according to the dynamic response variable in the prior art is solved, the selection accuracy of the regularization parameters is improved, the interference of noise is weakened to a certain extent, and the load identification precision is improved.

A deep learning-based method for acoustic feedback suppression in a closed-loop system, the method includes applying an offline trained closed-loop system suppression model, processing an audio signal input, and then feeding the processed audio signal to a sound reproduction unit of the closed-loop system for playback to achieve acoustic feedback suppression, the closed-loop system suppression model being built based on deep learning; and modeling the closed-loop system, generating a unit impulse response of an acoustic feedback path by simulation, and calculating a maximum stable gain according to each simulated unit impulse response, and generating a closed-loop signal based on the maximum stable gain; generating an open-loop target signal under an open-loop condition by using the audio signal input to the closed-loop system; forming parallel training data of the model by putting the closed-loop signal and open-loop target signal together, and training the model by using the generated parallel training data.

The present invention provides a method and device for updating a vehicle dynamic prediction model. The method includes: obtaining the actual steering wheel angle and the actual yaw rate within a target time window; performing normalization processing on the actual steering wheel angle within the target time window; inputting the normalized actual steering wheel angle into the vehicle dynamic prediction model, and the vehicle dynamic prediction model performs convolution based on the input actual steering wheel angle within the target time window and the unit impulse response of the vehicle dynamic prediction model to obtain a predicted yaw rate; updating the vehicle dynamic prediction model according to the predicted yaw rate, the normalized actual steering wheel angle, and the actual yaw rate within the target time window to obtain a vehicle dynamic updated model. The present invention realizes the online automatic update of the vehicle dynamic model, improves the accuracy of model prediction, and further facilitates subsequent control according to the model prediction results, meeting the accuracy requirements of control.

The invention discloses a zero phase shift IIR (Infinite Impulse Response) digital filtering method and filter for sea-air gravimeter measurement data, and the method comprises the steps: setting two stages of IIR filters which have the same unit impulse response; the method comprises the following steps: collecting measurement data of a sea-air gravimeter, enabling a time sequence of the measurement data of the sea-air gravimeter to pass through an IIR (Infinite Impulse Response) filter to obtain a primary filtering sequence, and performing time sequence inversion and translation on the primary filtering sequence to obtain a new data sequence; and enabling the new data sequence to pass through the same IIR filter to obtain a secondary filtering sequence, and performing time sequence inversion and translation on the secondary filtering sequence to obtain final filtering output. The zero-phase filtering of the sea-air gravimeter is realized by utilizing a forward time sequence and an overturning time sequence through two stages of IIR filters which are mutually offset in phase shift, that is, the filter does not have a time delay problem.

The invention provides a mechanical arm pulse control transient oscillation analysis method based on forward and feedback channel response characteristics. The mechanical arm pulse control transient oscillation analysis method comprises the following steps that 1, unit impulse response of a forward driving channel and a feedback channel is established; 2, deducing a full-time-domain transient output expression under the action of pulse control, and analyzing an oscillation superposition rule; step 3, taking minimization of transient oscillation as a target, combining the dual-channel impulse response characteristics and transient quantitative indexes, and carrying out collaborative optimization on pulse control parameters and feedback adjustment parameters; and step 4, forming an analysis and optimization process of pulse control transient oscillation of the mechanical arm. According to the method, the generation mechanism of transient oscillation is analyzed from the source of system composition, and the technical defect that a traditional model cannot reflect the dynamic characteristics of an actual channel is overcome.

The invention relates to a distributed power frequency safety monitoring method, device and system. The method comprises the following steps: under the condition of transient disturbance of a power system, sending a pre-generated virtual frequency track and a unit impulse response sequence to each frequency modulation device, so that each frequency modulation device processes the virtual frequency track and the unit impulse response sequence based on a pre-established frequency control model, generating a plurality of virtual additional frequency trajectories, and sending the plurality of virtual additional frequency trajectories to a power grid side; generating frequency response information based on a pre-acquired net disturbance trajectory and a plurality of virtual additional frequency trajectories; performing security detection on the frequency response information based on pre-acquired frequency deviation information to obtain a security detection result of the power system; wherein the safety detection result is used for representing whether the power system has a transient frequency response out-of-limit risk or not. The method can improve the frequency safety detection efficiency of the power system.

This invention relates to the field of geophysics, and particularly to a method and system for estimating wavelet sub-surges from high-speed rail sources for full-waveform inversion. The method includes acquiring unit impulse response data and high-speed rail source vibration data, and then performing forward modeling calculations on the unit impulse response data and high-speed rail source vibration data using the finite difference method to obtain the unit impulse response signal and the high-speed rail source vibration signal, respectively. This invention simplifies the modeling of high-speed rail sources operating on viaducts, equating the train to multiple moving point force sources excited at the bridge piers, and constructing a source function composed of multiple wheel and axle load functions superimposed with time delays, accurately characterizing the spatiotemporal variation characteristics of high-speed rail vibration. In the frequency domain, the real and imaginary parts of the source wavelet are directly solved using Newton's method. Since the objective function has linear characteristics, an analytical solution can be obtained in one step, avoiding iterative convergence problems and significantly reducing computational costs.