26 results about "Relative amplitude" patented technology

The invention provides a TLF-GV signal correlation earthquake magnitude prediction method and system, and a medium, belongs to the technical field of earthquake prediction, and aims at solving the problems that a traditional magnitude prediction model lacks physical constraints, TLF-GV features are not fully utilized, the interpretability is poor, and cooperation with a preorder technology is lacked. Comprising the following steps: extracting a multi-source feature vector of a TLF-GV signal containing a gravity component absolute amplitude, a vibration component relative amplitude and a signal phase; based on the G-R law, constructing the positive correlation physical characteristics log10 (GVCIpeak) and BF * Tanomal of the abnormal intensity and the magnitude of the TLF-GV signal; weighting the features according to a Bayesian factor BF value; fitting according to historical samples to obtain a physical empirical formula of positive correlation of GVCI peak logarithm and magnitude as a physical constraint, and constructing a loss function by taking the physical constraint as a regularization item and combining with a mean square error of a magnitude prediction task; and constructing an XGBoost model, and training according to the training set to obtain a prediction model for earthquake magnitude prediction. According to the method, quantitative prediction of earthquake magnitude is realized based on multi-source features of TLF-GV signals in combination with a physically constrained XGBoost regression model.

The invention discloses a high-resolution range profile feature retention enhancement method based on iterative weighted sparse decomposition, and the method comprises the steps: obtaining radar echo data collected by a radar receiver within a coherent processing time, and constructing a two-dimensional radar echo matrix composed of a range unit number and a pulse sequence number after range direction matching filtering; representing a two-dimensional radar echo matrix as a superposition relation of adding a low-rank clutter component matrix and a sparse target component matrix; based on the superposition relation, an optimization model is constructed, and the objective function of the optimization model is the sum of the weighted nuclear norm of the low-rank clutter component matrix and the L1 norm of the sparse target component matrix. According to the method provided by the invention, the adaptive weight is applied to the singular value, so that clutters are effectively suppressed under a strong clutter background, and key structure features such as the number, position distribution and relative amplitude relationship of scattering points in the target high-resolution range profile are kept.

The invention provides an air interface wire rapid calibration method and system, and solves the problems of high execution complexity and difficulty in engineering application caused by the adoption of space violent search in the existing air interface wire calibration technology. The method comprises the following steps: synchronously starting a static calibration antenna and a reference antenna fixedly connected with a rotary table under a plurality of rotation angles of the rotary table, and acquiring measurement data from measured equipment; determining a phase difference data set and a relative amplitude data set according to the measurement data; reconstructing a plurality of air interface transmission matrixes in a digital domain based on the data set, and screening out at least one calibration antenna spatial position combination by taking a matrix condition number as an index; and air interface wire calibration is completed according to the combination. According to the invention, the calibration complexity is reduced from a combination order to a linear order, the hardware cost and the measurement time are significantly reduced, the high-efficiency and high-precision calibration of large-scale terminals such as a whole vehicle is realized, and the method has wide applicability irrelevant to frequency.

The application discloses a kind of multi-region reservoir potential effective quantification evaluation methods, it includes the following steps: step 1, on the basis of interpretive achievement data, respectively using DSG Seismic Attribute Generation module and OpenGS Openinversion module of module calculation relative amplitude data body and relative wave impedance data body, and carry out construction smoothing;Step 2, in combination with well data, main fracture characteristics and reservoir attribute, in the region of reservoir target obvious and well data, reservoir and T74 layer relative amplitude and relative wave impedance inversion ratio plane calculation and point position statistics are carried out;Step 3, using EXCEL to calculate the ratio between reservoir and T74 layer, and draw the ratio trend chart between the two layers in the study area.The application can intuitively and effectively find out the distribution of the study area reservoir, which solves the problem of previous reservoirs being limited to qualitative analysis and cannot be quantified, breaks the status quo of previous qualitative analysis of reservoir evaluation parameters, and is simple to operate and has strong popularization.

The invention relates to a casing wave relative amplitude correction method and system based on well cementation cement density, and the method does not consider the influence of the cement density change on the casing wave amplitude during the actual well cementation quality evaluation, and simulates the full-wave waveform of sound waves received in a well through the methods of real axis integration and the like. The classic elastic wave theory and the slip interface theory are combined, and the method which is high in universality and is used for correcting the wave amplitude of the casing with the actually-measured cement density to the wave amplitude of the casing with the compared cement density is determined; according to the simulation result of the sound field in the well, the correction method has a reliable theoretical basis; the actual stratum and the rock physical model are combined, calculation is convenient and simple, universality is high, and applicability is wide.

The invention relates to the technical field of oil and gas reservoir exploration and development, in particular to a wrinkle strength calculation method. The wrinkle strength calculation method comprises the following steps: firstly, intercepting a seismic trace coordinate point set based on a target layer wrinkle zone plane range, and obtaining the wrinkle width of a corresponding wrinkle zone on each seismic survey line; secondly, calculating the relative amplitude of a target layer fold zone by utilizing a structural trend surface method; assigning the relative amplitude to a seismic trace coordinate point set according to a coordinate corresponding relation to obtain a wrinkle amplitude of each seismic survey line in a corresponding wrinkle zone; and finally, dividing the wrinkle amplitude by the wrinkle width to obtain the wrinkle strength of the corresponding wrinkle zone on each seismic survey line. According to the method, seismic attributes, horizon interpretation and three-dimensional seismic survey network information are comprehensively utilized, the wrinkle range is quantitatively delineated through curvature attributes, horizon is interpreted, the wrinkle amplitude is calculated, and an objective wrinkle strength evaluation result can be obtained.

A method of obtaining a relative amplitude preserving seismic volume acquired in time domain for a subsurface region of interest and transforming it into a low frequency monopolar amplitude volume. The method also determines a seismic attenuation volume from the relative amplitude preserving seismic volume acquired in time domain. Further, the method generates a low frequency monopolar amplitude map of a surface of interest by averaging the low frequency monopolar amplitude volume over a depth window around the surface of interest and generates a seismic attenuation map of the surface of interest by averaging the seismic attenuation volume over the depth window around the surface of interest. The method also determines an attribute map of the surface of interest based on the seismic attenuation map and the low frequency monopolar amplitude map and determines a presence of a gas in the subsurface region of interest based on the attribute map.

The invention provides a spectrum testing method for electro-optical modulation signals. The device is composed of a laser, a microwave signal source, a to-be-measured electro-optical modulation signal generation module, an optical frequency shifter, an electro-optical phase modulator, a photoelectric detector and a spectrum analysis module, optical signals output by the laser are divided into two paths, the upper path is in optical connection with the to-be-measured electro-optical modulation signal generation module, and the lower path is in optical connection with the to-be-measured electro-optical modulation signal generation module. The lower path is sequentially and optically connected with the optical frequency shifter and the electro-optic phase modulator and is optically connected with the photoelectric detector after being combined, the microwave signal source is electrically connected with the radio frequency end of the electro-optic phase modulator, and the output end of the photoelectric detector is electrically connected with the spectrum analysis module. Heterodyne mixing signals f1-pf2 (p is a positive integer) of an electro-optical modulation spectrum signal f1 to be detected and an electro-optical phase modulation signal f2 are detected, mixing signal power ratios when output signal voltages of a microwave signal source are V2 and kV2 respectively are analyzed, the p value and the frequency f1 are determined by utilizing the Bessel function relation, meanwhile, the frequency response of a photoelectric detector is calibrated, and the frequency response of the photoelectric detector is calibrated. The relative amplitude of each order of light modulation sideband of the electro-optical modulation spectrum to be tested is obtained, and spectrum testing of the electro-optical modulation signal to be tested is achieved.

The application discloses a high-resolution range profile feature preserving enhancement method based on iterative weighted sparse decomposition, and comprises the following steps: obtaining radar echo data collected by a radar receiver in a coherent processing time, constructing a two-dimensional radar echo matrix composed of a distance unit number and a pulse sequence array after distance matching filtering; expressing the two-dimensional radar echo matrix as a superposition relationship of a low-rank clutter component matrix and a sparse target component matrix; based on the superposition relationship, constructing an optimization model, and a target function of the optimization model is a sum of a weighted nuclear norm of the low-rank clutter component matrix and an L1 norm of the sparse target component matrix. The method of the application realizes effective suppression of clutter in a strong clutter background by applying adaptive weights to singular values, and meanwhile, key structural features such as the number, position distribution and relative amplitude relationship of scattering points in a target high-resolution range profile are maintained.

This invention discloses a network monitoring method and system for short-term earthquake precursor information, relating to the interdisciplinary fields of earthquake monitoring and quantum precision measurement. The method includes constructing a three-dimensional evaluation function based on fault slip rate, historical earthquake frequency, and gravity field gradient, dividing the monitoring area into three risk levels from high to low; deploying a three-level monitoring network according to the risk level, including a main monitoring layer, an auxiliary monitoring layer, and a reference layer; acquiring TLF-GV signals from the main and auxiliary monitoring layers, and performing dynamic calibration and component separation through the reference layer; fusing the relative data after calibration of the main and auxiliary layers with the component data of the reference layer using Kalman filtering to generate a TLF-GV signal dataset containing the absolute amplitude of the gravity component, the relative amplitude of the vibration component, and the signal phase; this method, through reference layer calibration and Kalman filtering fusion, significantly improves the signal fidelity provided by subsequent processing.

The invention discloses a networking monitoring method and system for earthquake short-term precursor information, and relates to the technical field of intersection of earthquake monitoring and quantum precision measurement, and the method comprises the steps: constructing a three-dimensional evaluation function based on a fault sliding rate, a historical earthquake frequency and a gravitational field gradient, and dividing a monitoring region into three risk levels from high to low; arranging a three-level monitoring network according to the risk level, wherein the three-level monitoring network comprises a main monitoring layer, an auxiliary monitoring layer and a reference layer; tLF-GV signals of the main monitoring layer and the auxiliary monitoring layer are collected, and dynamic calibration and component separation are carried out through the reference layer; using Kalman filtering to fuse the calibrated relative data of the main and auxiliary layers and the component data of the reference layer, and generating a TLF-GV signal data set containing the gravity component absolute amplitude, the vibration component relative amplitude and the signal phase; according to the method, reference layer calibration and Kalman filtering are fused, so that the fidelity of signals provided by subsequent processing is remarkably improved.

The invention belongs to the field of distributed phased-array antennas, and discloses a distributed power receiving and generating scanning array amplitude-phase consistency test method and system, and the system comprises a distributed phased-array antenna and an amplitude-phase calibration circuit. The in-array amplitude-phase calibration circuit selects one radio frequency transceiving channel in the single phased-array antenna as a reference branch, and measures the relative amplitude and the relative phase of each radio frequency transceiving channel in the single phased-array antenna and the transceiving channel of the reference branch; according to the inter-array amplitude-phase calibration circuit, a reference branch corresponding to one phased-array antenna is used as an inter-array reference branch, and calibration signals successively flow into the reference branches of the other phased-array antennas through switching of a radio frequency electronic switch matrix. And measuring amplitudes and phase errors of reference branch transceiving channels corresponding to other phased-array antennas relative to inter-array reference branch transceiving channels. According to the method, the consistency test on the distributed power receiving and generating scanning array is realized, and the method can be applied to distributed detection and distributed confrontation.

A wireless channel modeling method based on the relative amplitude probability of multipath propagation of measured signals is proposed. This method uses channel sounding equipment to collect and record channel impulse response data of propagation links in specific scenarios. By analyzing and processing the data, parameters such as large-scale propagation loss, small-scale multipath number, relative delay, relative amplitude, and amplitude distribution are obtained. A wireless channel model matching the specific propagation scenario is established, thereby achieving high-precision modeling of complex and variable radio wave propagation effects and solving the problem of poor matching between simulation models and real scenarios.

The application provides a method and system for amplitude and phase calibration of a dual-polarized measurement probe, wherein a calibration polarization direction of a standard antenna and a polarization alignment angle when a first polarization direction of the dual-polarized measurement probe is aligned are determined first, then a calibration angle is determined according to the polarization alignment angle and a preset angle, the standard antenna or the dual-polarized measurement probe is driven to rotate around an axis to the calibration angle, and responses (i.e. first S parameters and second S parameters) of two polarization channels are synchronously obtained in one static measurement, so that calibration measurement errors caused by mechanical indexing errors are fundamentally eliminated, and finally, relative amplitude calibration information and relative phase calibration information between the first polarization channel and the second polarization channel of the dual-polarized measurement probe calculated based on the preset angle, the first S parameters and the second S parameters have high accuracy, the precision of phase calibration is effectively improved, and the overall accuracy of amplitude and phase calibration is ensured.

The invention provides a micro-seismic energy correction method and device. The method comprises the following steps: acquiring waveform signals corresponding to a plurality of micro-seismic events; dividing a plurality of micro-seismic event clusters corresponding to different waveforms according to the cross correlation coefficient of the waveforms corresponding to the waveform signals; constructing an overdetermined equation set according to the relative amplitude ratio and the magnitude difference of any micro-seismic event pair in each micro-seismic event cluster, and solving the overdetermined equation set to obtain a relative magnitude value with internal consistency of the micro-seismic event cluster; and unifying the relative magnitude values of the micro-seismic event clusters to an absolute magnitude scale of a reference micro-seismic event, and converting the relative magnitude values into micro-seismic energy. Therefore, by integrating a plurality of waveform signals, clustering the micro-seismic events by using the cross correlation coefficient of the waveforms, and performing relative correction in the clusters, the influence caused by a propagation path and a field effect can be effectively eliminated, accurate micro-seismic energy is obtained, and a more reliable basis is provided for micro-seismic activity trend analysis and rock burst disaster early warning.

The invention relates to a phased array self-calibration method and device. The method comprises the following steps of: generating a single-tone signal through a transmitting channel, and simultaneously injecting the single-tone signal into N receiving channels through a power division network; when emission begins, each channel FIFO is reset, and after data are detected, time domain sampling data are stored in an RAM in a mapping mode that a channel number is a high order and a data index is a low order. And when the data index reaches the Fourier transform point number M, stopping collecting. And then for M pieces of sampling data of each channel, only calculating discrete Fourier transform values of single frequency components corresponding to the central frequency point to obtain a frequency domain complex result, and further extracting amplitude values and phase values of each channel at the central frequency point. And finally, selecting one channel as a reference, and calculating relative amplitude compensation values and phase compensation values of other channels for correcting each radio frequency channel in real time and eliminating amplitude-phase inconsistency. By adopting the method, continuous and efficient storage of multi-channel data with low hardware overhead can be realized.

This application belongs to the field of distributed phased array antennas and discloses a method and system for testing the amplitude and phase consistency of a distributed transceiver array. The system includes: a distributed phased array antenna and an amplitude and phase calibration circuit; the intra-array amplitude and phase calibration circuit selects one RF transceiver channel within a single phased array antenna as a reference branch and measures the relative amplitude and relative phase of each RF transceiver channel within the single phased array antenna with respect to the reference branch's transceiver channel; the inter-array amplitude and phase calibration circuit uses the reference branch corresponding to one of the phased array antennas as the inter-array reference branch, and through the switching of an RF electronic switch matrix, allows calibration signals to flow sequentially into the reference branches of the remaining phased array antennas, measuring the amplitude and phase errors of the transceiver channels of the corresponding reference branches of the remaining phased array antennas relative to the inter-array reference branch's transceiver channels. This application realizes the consistency testing of distributed transceiver arrays and can be applied to distributed detection and distributed countermeasures.

A method includes steps for creating at least two replicas of an input pulse to be characterised, varying the relative amplitude of the two replicas within a range, creating a nonlinear signal at each case of said amplitude variation, measuring the spectra of the nonlinear signals and recovering the spectral amplitude and phase of the input pulse with a proper algorithm. The system includes a replicator for creating at least two replicas of the input pulse and varying their relative amplitude within a range of relative amplitudes, a nonlinear medium, which obtains a nonlinear signal for each relative amplitude, and an analyzer, associated to the nonlinear signal, for measuring and characterising spectrally each nonlinear signal.

Embodiments of the present specification provide a mapping amplitude preserving method, device and equipment, wherein the method comprises: obtaining a first seismic signal; wherein the first seismic signal is an original seismic signal; obtaining a second seismic signal; wherein the second seismic signal is a seismic signal after high resolution processing on the original seismic signal; performing time-frequency analysis on the first seismic signal to obtain an effective frequency band; establishing a mapping relationship in amplitude between the first seismic signal and the second seismic signal within the effective frequency band range; and performing amplitude preserving processing on a full frequency band signal of the second seismic signal according to the mapping relationship to obtain a seismic signal after amplitude preserving processing. In the embodiments of the present specification, the mapping relationship in amplitude between the seismic signals before and after high resolution processing within the effective frequency band range can be used to accurately restore the relative amplitude of the seismic signal after high resolution processing.

A plurality of control points are defined have a known spatial relationship relative to an array of transducers. An amplitude is assigned to each control point. A matrix is produced containing elements which represent, for each of the control points, the effect that producing a modeled acoustic field having the assigned amplitude with a particular phase at the control point has on the consequential amplitude and phase of the modeled acoustic field at the other control points. Eigenvectors of the matrix are determined, each eigenvector representing a set of phases and relative amplitudes of the modeled acoustic field at the control points. One of the sets is selected and the transducer array is operated to cause one or more of the transducers to output an acoustic wave each having an initial amplitude and phase such that the phases and amplitudes of the resultant acoustic field at the control points correspond to the phases and relative amplitudes of the selected set.

The application discloses a kind of real-time correction method and device for channel error of spaceborne DBF-SAR, belong to the technical field of spaceborne synthetic aperture radar multi-channel.The method includes the scaling signal of single channel containing error is carried out to be unoblique, and unoblique signal is generated;From unoblique signal, the absolute time delay information of single channel is extracted, and after traversing all channels, the relative time delay compensation code of each channel is obtained;After compensating time delay error, unoblique is handled again to obtain new unoblique signal, and the absolute amplitude and phase information of single channel is extracted therefrom, and after traversing all channels, the relative amplitude and phase compensation code of each channel is obtained;DBF time delay control code and weight are generated based on compensation code, realize DBF real-time processing and multi-channel error real-time compensation.The digital resource that the application additionally occupies and consumes is small, error extraction precision meets use requirement, greatly improves the engineering realizability of DBF-SAR.

The application relates to a phased array self-calibration method and device. The method comprises the following steps: a single-tone signal is generated through a transmitting channel, and the single-tone signal is simultaneously injected into N receiving channels through a power division network. FIFOs of the channels are reset when the transmission starts, and time-domain sampling data is stored in a RAM in a mapping mode of 'channel number as high bit and data index as low bit' after the data is detected. The data collection is stopped when the data index reaches Fourier transform point number M. Then, only the discrete Fourier transform value of a single frequency component corresponding to a center frequency point is calculated for M sampling data of each channel, a frequency domain complex result is obtained, and then the amplitude value and the phase value of each channel at the center frequency point are extracted. Finally, one channel is selected as a reference, and the relative amplitude compensation value and the phase compensation value of the remaining channels are calculated, which are used for real-time correction of each radio frequency channel and elimination of amplitude and phase inconsistency. The method can realize continuous and efficient storage of multi-channel data with low hardware cost.

The embodiment of the invention provides an accurate touch wave micro-actuation array feedback control method and device, and the method comprises the steps: controlling the phase difference of a transversely-arranged motor pair and a longitudinally-arranged motor pair to change from negative to positive in a linear stepping manner, keeping the relative amplitude symmetric and unchanged, and achieving the smooth movement of a focus in the transverse and longitudinal directions; the phase of the transversely-arranged motor and the phase of the longitudinally-arranged motor are controlled to be consistent, the vibration amplitude is gradually changed from low to high or from high to low, the physiological response difference of different skin depth sensors to the frequency degree is utilized, pure-signal-driven depth direction touch sense is formed, micro actuating motors are adopted, and the motors are small, exquisite, light, convenient to use and high in reliability. The system can work under extremely low power consumption, is suitable for being integrated in a portable device and a wearable device, remarkably improves the portability and energy efficiency of the device, can render movable focuses on the skin surface and different depths of a user through an independent motor phase modulation technology, and can simulate complex pattern information through the focuses and tracks of the focuses. Compared with the prior art, richer and finer tactile experience can be provided, compared with an electric adhesion technology needing user action intervention, active tactile feedback is provided, the user can receive tactile information without any physical operation, and interaction naturalness and efficiency are improved.

This invention discloses a method for phase picking of low-depth quantized seismic data based on neural networks. The method trains an independent and specially optimized QDNN model for each target depth, performing independent training processes for full-precision floating-point data and quantized data with different compression levels. At extremely low depths, the absolute amplitude information of the data is almost completely lost; the effective information is mainly contained in the zero-crossing rate, polarity changes, and time patterns of the signal. The model learns how to identify seismic events solely from these phase-related features. At higher depths, the data retains rich relative amplitude information, and the model can learn to accurately pick the first arrivals of P-waves and S-waves using subtle amplitude increases and signal-to-noise ratio changes. The method can compress data to 1-2 bits, significantly reducing transmission pressure, while maintaining P-wave / S-wave picking accuracy comparable to full-precision data.

This invention provides a digital receiver trimming method and apparatus based on a large-scale digital array antenna, comprising: acquiring digital signals at different frequencies of each antenna element and digital signals at different frequencies of a reference channel at the same time through two links, and obtaining the relative amplitude and relative phase of each element; grouping the elements according to the same digital channel and obtaining the trimming data of the elements within the digital channel; burning the trimming data of the elements within the digital channel into the corresponding digital channel sub-wave controller, adjusting the probe position and the gain or attenuation of the links, acquiring digital signals at different frequencies of each digital channel and digital signals at different frequencies of the reference channel at the same time, obtaining the relative digital signal of each digital channel, and then performing signal trimming. This eliminates the amplitude and phase errors caused by the synthesis of multiple element patterns corresponding to a digital channel, reduces the loss caused by the synthesis of the entire array pattern, and effectively improves antenna beam pointing, sidelobe level, and other parameters.