403 results about "Signal correction" patented technology

The invention relates to the technical field of unmanned aerial vehicle remote identification, in particular to an unmanned aerial vehicle flight path detection method and system, and the method comprises the following steps: obtaining an airspace broadcast signal, detecting a newly added signal, correcting a terminal time difference, recognizing an information source position, extracting a position sequence, reconstructing an unmanned aerial vehicle flight path, comparing a declaration path, and recognizing the identity of an unmanned aerial vehicle. And detecting an abnormal unmanned aerial vehicle and an abnormal flight path, extracting a broadcast time sequence, identifying a time overlapping interval, detecting a remote control end, and obtaining a control identification result. According to the invention, by monitoring the airspace signal in real time and dynamically detecting the newly added signal source, the monitoring precision of the signal source is improved, the time difference correction and space cross reconstruction of a plurality of monitoring terminals are combined, the positioning precision of the unmanned aerial vehicle position is optimized, and a track reconstruction method is adopted, so that the real-time monitoring capability of abnormal behaviors is enhanced; by identifying the information source of the control end and extracting the position information, the airspace safety management and illegal flight prevention capability is improved.

The invention discloses a zone area energy storage operation dynamic early warning control method and system, and relates to the technical field of anomaly detection, and the method comprises the following steps: obtaining operation data of an energy storage system, constructing a data trend offset vector, and extracting trend offset features; dynamically matching the trend offset features with a perturbation anomaly feature database pre-constructed based on historical data, and outputting a preliminary anomaly early warning signal; performing disturbance analysis by acquiring synchronous phasor measurement data, identifying disturbance response characteristics, and correcting the preliminary abnormal early warning signal in combination with trend similarity; extracting a target abnormal feature corresponding to the corrected abnormal early warning signal, and outputting an early warning credibility score in combination with a preliminary abnormal early warning signal correction result; according to the invention, the dynamic sensing of the operation state of the energy storage system and the reliability evaluation of the abnormal early warning are realized, the early warning accuracy and the system response capability are effectively improved, and the problems of recognition lag and high false alarm rate are solved.

The invention discloses a current and voltage signal synchronous correction and output method and system, and relates to the technical field of power system analysis and control. Compared with a previous current and voltage signal correction method, the method solves the problems that traditional multi-channel signal acquisition depends on conventional clock control, and synchronization precision is insufficient; a conventional sampling circuit is weak in anti-interference capability. The problem that an existing scheme lacks efficient error prediction and dynamic optimization capability is solved. Through a multi-channel FPGA clock synchronization and double-differential sampling technology, complete acquisition of high-frequency transient characteristics of voltage and current signals is ensured; a dynamic calibration algorithm and multi-stage composite filtering are combined, so that common-mode interference and non-linear errors are effectively suppressed; and finally, through optical fiber isolation output and intelligent feedback control, signal full-link synchronous correction is realized, the electric energy metering error can be reduced, the fault positioning precision is improved, the characteristics of high precision, strong anti-interference and low energy consumption are realized, and a reliable data reference is provided for intelligent power grid and new energy grid connection.

The invention discloses a passive Fourier infrared spectrum gas telemetering control system, which relates to the technical field of telemetering control and comprises an environment sensing module, a dynamic interference correction module, a multi-modal fusion module, a decision display module and an execution feedback module. The environment sensing module synchronously obtains three-dimensional topographic data, a surface reflection polarization state and atmospheric turbulence intensity parameters through a laser radar, a multispectral polarization camera and a quantum meteorological sensor, generates a dynamic topographic-meteorological coupling field model, and corrects spectral signals in real time based on the coupling field model. The terrain reflectivity, the slope angle, the polarization state and the turbulence intensity are comprehensively considered, the accuracy and robustness of spectral signal correction are improved, the AR holographic projection unit is used for converting four-dimensional data into a three-dimensional visual scene in real time, a three-level early warning mechanism is established, and the decision making efficiency and the response speed are improved.

The invention relates to the field of crystal detection, and discloses a multifunctional comprehensive scintillation crystal and semiconductor material energy spectrum test system, which comprises a crystal adaptation module for judging the type and size of a placed crystal through an optical identification and parameter matching mechanism, and a signal acquisition module for amplifying, filtering and digitally processing an acquired signal, the signal correction module is used for correcting waveform distortion and baseline drift through a dynamic gain adjustment algorithm of a low-noise pre-amplifier and a multi-channel pulse analyzer; the data analysis module is used for generating an energy spectrum curve according to input signals and calculating energy resolution, counting rate, light attenuation time or carrier mobility, and the environment calibration module is used for dynamically evaluating shading degree, environment light, temperature and electromagnetic interference through an optical sensor and a temperature and humidity detector in the camera obscura and outputting updated calibration parameters. The method has the advantages of improving the detection efficiency, precision and consistency.

The invention provides a dynamic compensation processing method and system for thermocouple signals. The method comprises the following steps: acquiring response delay data of a thermocouple at different heating rates, synchronously acquiring surface temperature change data of a measured object, establishing a correlation model of the two to form a compensation database, then arranging a heat dissipation device, analyzing a heat transfer path according to temperature distribution data, and generating a thermal resistance distribution diagram; based on distribution characteristics of a thermal resistance peak region, an optimized heat dissipation channel is constructed, a thermocouple dynamic response signal is further aligned with a temperature data time domain, frequency domain decomposition is carried out to separate interference signals, and finally a dynamic compensation coefficient is reconstructed by combining a contact point resistance parameter of a thermal resistance distribution diagram and a heat dissipation channel adjustment parameter. And closed-loop iteration correction is carried out to realize dynamic compensation optimization. According to the application, through heat conduction parameter modeling, heat dissipation channel optimization and closed-loop signal correction, the measurement precision and response efficiency of the thermocouple in a dynamic temperature field are significantly improved.

The invention relates to the technical field of signal correction, in particular to a nonlinear distortion correction method for a vibration monitoring signal, and provides the following scheme: carrying out broadening and sparse reconstruction on a vibration signal through dispersion Fourier transform and compressed sensing, and extracting a high-frequency local structure; on the basis of phase-space reconstruction and a Lyapunov exponent, nonlinear distortion segments are identified; further performing orbit guiding modeling and degradation path reasoning on the orbit cluster corresponding to the segment, and selecting a reference orbit matched with the structure from the residual linear segments; and constructing an affine mapping relation between orbits and back-projecting the affine mapping relation to a time domain to generate a correction signal. According to the invention, high-precision identification and low-error correction of millisecond-level local nonlinear distortion are realized, and the stability and accuracy of vibration signal analysis are improved.

The invention relates to the technical field of automobile fault detection, and discloses a self-adaptive optimization method and system of an automobile fault detection system and a storage medium. The method comprises the following steps: performing real-time detection on attitude data based on a preset inclination angle threshold value and steering signal delay, and generating angular velocity sensing data and a vibration interference identification result; performing characteristic decomposition on the attitude data stream, identifying abnormal fluctuation, judging whether a potential fault signal exists or not, updating the calibration frequency of the vehicle-mounted sensor, and obtaining adjusted parameter configuration information; a fusion result of the attitude data is analyzed, an evaluation index of deviation correction precision is calculated, a real-time feedback mechanism is constructed based on the evaluation index, and a fault signal correction scheme is generated; and constructing a continuous detection cycle, analyzing the matching effect of the calibration frequency and the steering signal delay, and if the deviation correction precision does not reach a first preset standard, iteratively processing the attitude data. According to the invention, the precision and response speed of adaptive optimization of the automobile fault detection system are improved.

The invention relates to the technical field of LED data processing, in particular to an LED display driving data processing system which comprises a data acquisition module, a characteristic detection module, a model construction module and a signal correction and calibration module. The data acquisition module acquires environment parameters and system state data to form an environment and state database associated with a timestamp; the characteristic detection module detects TFT characteristics based on environmental data and generates an initial characteristic database; the model construction module deduces a compensation parameter table; the signal correction module superposes the correction quantity to generate a driving signal; and the calibration module dynamically updates the compensation parameter table. Through cooperation of multiple modules, dynamic compensation of TFT characteristic discreteness is realized, and consistency and long-term stability of dynamic optical signal generation are improved.

The invention discloses a multichannel electronic component test system based on an adaptive calibration algorithm, and the system comprises the following modules: a signal collection and preprocessing module which is used for collecting channel signals and carrying out the standardization processing; the linear regression calibration module is used for calculating an offset parameter and a gain parameter and outputting an initial channel calibration parameter; the decoupling adaptive calibration module is used for generating an adaptive calibration parameter set; the signal correction module is used for correcting the standardized signal sequence; the feature extraction module is used for generating a multi-dimensional feature vector; the improved TimeMIL model module is used for performing time slice division, multi-scale attention coding, causal driven and prototype alignment aggregation and uncertainty quantization constraint on the multi-dimensional feature vector; and the result generation module is used for generating the electronic component performance index and the abnormity judgment result. According to the invention, the combination of multichannel signal adaptive calibration and intelligent discrimination is realized, and the precision and robustness of electronic component testing are improved.

The invention discloses an echo signal correction method, system and device based on variational mode decomposition and Kalman filtering cooperation and a medium, and belongs to the technical field of signal correction, and the method comprises the steps: collecting original echo data through a three-dimensional laser radar sensor, and carrying out the preprocessing of the original echo data; performing distance attenuation and incident angle geometric correction operation on the intensity information in the preprocessed data to obtain a physically corrected signal; taking the physically corrected signal as input, adaptively determining key parameters of variational mode decomposition by adopting a whale optimization algorithm, performing mode decomposition on the signal, introducing an independent Kalman filtering model for each mode to perform joint filtering processing, and outputting a denoised signal; and registering the denoised signal with other data in the preprocessed data to form a denoised point cloud, operating the denoised point cloud, and reconstructing a three-dimensional model. Noise interference is effectively weakened while target reflection characteristics are reserved, and the fitting degree between echo signals and real waveforms is improved.

A multi-channel amplitude and phase correction method for a radio frequency receiving end based on an FPGA (Field Programmable Gate Array) comprises the following steps: S1, in a large-scale MIMO (Multiple Input Multiple Output) system, the radio frequency receiving end groups signals received in real time, each group comprises a reference channel signal and a to-be-calibrated channel signal, and the steps S2-S3 are respectively executed by taking the group as a unit to carry out signal correction; s2, preprocessing each group of received signals to obtain preprocessed sampling signals; s3, constructing an amplitude phase correction model, calculating a phase correction factor and an amplitude correction factor to carry out iterative correction operation on the to-be-calibrated channel signal based on the preprocessed sampling signal, and outputting a corrected signal; and S4, after all groups are corrected, M groups of corrected signals are obtained, and the signal correction of the round is completed. According to the design, the calculation resource consumption of the FPGA is reduced while the amplitude phase correction precision is ensured, and meanwhile, the problem that the correction precision is reduced under the condition that the number of sampling points is a non-signal period integer is avoided.

The invention discloses an online detection method for a medium and low voltage direct current circuit breaker, and relates to the technical field of power system protection control, and the method comprises the following steps: S001, building a radiation echo spectrum distribution model during the switching operation of the direct current circuit breaker, calculating an interference intensity estimated value through collecting a current drop rate and a fracture voltage climbing rate, and calculating the interference intensity estimated value according to the current drop rate and the fracture voltage climbing rate; and extracting a disturbance frequency band with concentrated interference energy and generating a characteristic signal set for representing an interference propagation path. According to the method, a closed-loop anti-interference mechanism is constructed through feature modeling, interference recognition, signal correction and parameter optimization, the stability and accuracy of state judgment are improved, misjudgment and response failure caused by high-frequency interference are prevented, the method is particularly suitable for a complex parallel system and a frequent on-off scene, and the safety and the intelligent level of a direct-current system are effectively enhanced.

The invention discloses a deep sea cable fault accurate positioning method based on electromagnetic induction and transient characteristic analysis, and relates to deep sea electric power engineering. According to the technical scheme, the method comprises the steps of 1, signal excitation used for transmitting a signal source; 2, signal filtering is carried out to counteract geomagnetic background noise; 3, signal correction is carried out to solve the problems of modal aliasing and endpoint effect existing when a traditional EMD is used for processing complex signals; 4, signal feature extraction, wherein transient pulse features in the signals can be effectively enhanced; and step 5, fault positioning. The method is mainly used for non-intrusive fault detection of the power cable in the kilometer-level deep sea high-pressure environment, and high-precision fault point positioning is achieved.

A control method and apparatus for the output phase of a broadband synchronous signal source and a storage medium, relating to the field of output signal correction. The method comprises: according to a pulse-per-second signal and a standard broadband test signal, respectively acquiring a first synchronous sampling sequence and a second synchronous sampling sequence; determining as a first moment a sampling moment corresponding to any rising edge signal in the first synchronous sampling sequence; according to a reference baseline value of the standard broadband test signal and the first moment, determining a corresponding second moment in the second synchronous sampling sequence; according to the first moment and the second moment, calculating and outputting phase correction control quantities; if the number of the acquired phase correction control quantities is less than a preset threshold value, repeating the above steps until the number of the acquired phase correction control quantities is greater than the preset threshold value; and, if the number of the acquired phase correction control quantities is greater than the preset threshold value, according to the multiple phase correction control quantities, obtaining a final phase correction control quantity for correcting the standard broadband test signal. The method can obtain high-precision broadband test signals.

The invention discloses a fusion device magnet coil copper conductor nondestructive testing method and a computer product, and relates to the technical field of nondestructive testing, the method comprises the following steps: obtaining original eddy current testing signals of a to-be-tested object or a plurality of areas of the to-be-tested object under specific physical conditions; preprocessing the original eddy current detection signal, wherein the preprocessing comprises denoising and signal correction; extracting features from the preprocessed signals and carrying out normalization processing; on the basis of a pre-established multi-parameter model related to the physical conditions of the to-be-tested object, theoretical signals of the to-be-tested object under various physical conditions are predicted through finite element simulation; and performing matching estimation on the normalized signal and a theoretical signal to obtain an estimated signal, and evaluating the defect existence probability based on the estimated signal. Based on an eddy current testing technology, a probe scans a sample and obtains a signal, and a finite element analysis method is combined to simulate and evaluate defects such as cracks possibly existing in a material.

A system configured to reduce loudspeaker distortion by performing nonlinear signal processing is provided. A device may include preprocessing component(s) that apply nonlinear signal correction prior to sending a playback audio signal to a driver in order to compensate for a nonlinear response of the driver. While the driver response may be nonlinear, a combination of the preprocessing and the nonlinear driver response results in a combined response that is linear and / or compensates for the nonlinear driver response. For example, applying the nonlinear driver response to a processed audio signal may result in output audio generated by the driver accurately reproducing the playback audio signal input to the preprocessing components. To train the preprocessing components to apply the nonlinear signal correction, a deep neural network (DNN) is trained to model the driver response.

The invention relates to the technical field of gene detection, and discloses a mycobacterium tuberculosis drug resistance gene detection data analysis system which comprises a data import module, a signal correction module, a feature extraction module, a multi-stage interpretation module, a result fusion module and a report generation module. The system performs baseline drift correction, abnormal point detection and nonlinear normalization on a fluorescence intensity value output by a detector, extracts multi-dimensional features such as peak intensity, a mutation ratio, a consistency coefficient and an in-batch difference index, and constructs a dynamic threshold function to realize wild type and mutation type layered judgment. A drug resistance risk conclusion is generated through drug resistance characteristic matrix mapping, a standardized detection report is output, and intelligent analysis of a detection result and automatic report generation are achieved. Through multi-stage signal correction, multi-dimensional feature extraction and dynamic threshold interpretation, intelligent analysis and standardized report output of a mycobacterium tuberculosis drug resistance gene detection result are realized, and data judgment accuracy and clinical application efficiency are improved.

The invention provides a micro-motion target motion detection method based on adaptive unscented Kalman filtering, and the method comprises the steps: receiving an echo signal reflected by a target, carrying out the preprocessing of the echo signal, carrying out the calculation according to the preprocessed echo signal, and obtaining a distance angle unit where the target is located; performing difference frequency processing according to the distance angle units of the two adjacent frames, and performing signal correction through phase unwrapping to obtain initial deformation data; and inputting the initial deformation data into a self-adaptive unscented Kalman filter, outputting to obtain target deformation data, and analyzing according to the target deformation data to obtain a micro-motion target. According to the invention, high-precision detection of tiny deformation can be realized, the detection precision and reliability are greatly improved, and accurate detection data can still be obtained in various complex environments.

The present application provides a method and system for dynamic compensation processing of thermocouple signals. Among them, the method collects the response delay data of the thermocouple at different heating rates, synchronously obtains the surface temperature change data of the measured object, establishes a correlation model between the two, and forms a compensation database. Subsequently, a heat dissipation device is set up, and the heat transfer path is analyzed according to the temperature distribution data to generate a thermal resistance distribution map; based on the distribution characteristics of the thermal resistance peak area, an optimized heat dissipation channel is constructed, and the dynamic response signal of the thermocouple is further aligned with the temperature data in the time domain, and the frequency domain is decomposed to separate the interference signal. Finally, the contact point resistance parameters of the thermal resistance distribution map and the heat dissipation channel adjustment parameters are combined to reconstruct the dynamic compensation coefficient, and closed-loop iterative correction is performed to achieve dynamic compensation optimization. The present application significantly improves the measurement accuracy and response efficiency of thermocouples in dynamic temperature fields through heat conduction parameter modeling, heat dissipation channel optimization and closed-loop signal correction.

The invention discloses a calibration and correction method of a current transformer, and belongs to the technical field of current measurement. The method comprises the following steps: acquiring a voltage signal output by a current transformer, and obtaining a sampling waveform signal; performing baseline drift detection on the acquired sampling waveform signal; if it is detected that baseline drift exists, dynamic baseline calibration is carried out in a high-altitude proportion scene; performing baseline correction on the sampling waveform signal; calculating the increment of pulse attenuation compensation based on inertial filtering; performing linear interpolation compensation on the positive pulse width in the sampling waveform signal; and outputting the corrected detected current signal. According to the calibration and correction method of the current transformer provided by the invention, the current measurement precision of the current transformer in a high duty ratio scene is improved by monitoring the baseline position and the linear interpolation compensation dynamic correction signal in real time.

The invention discloses a borehole wall coupling effect-oriented downhole transient electromagnetic response modeling and signal correction integrated method. The method comprises the following steps of 1) constructing a wellbore-stratum-anomalous body three-dimensional geometric model; 2) deriving an electromagnetic field control equation based on a time domain Maxwell equation set, and continuously processing an interface in the wellbore-stratum-anomalous body three-dimensional geometric model by combining a tangential electric field and normal magnetic flux density; 3) calculating a response signal Vwell (t) and a response signal Video (t) by adopting an FDTD (Frequency Division Time Division) method; 4) analyzing the time-space and frequency spectrum characteristics of the signals, and calculating a well wall effect difference value delta V (t) by using the response signal Vwell (t) and the response signal Video (t); and 5) optimizing the time-varying correction coefficient alpha (t), and correcting the transient electromagnetic response signal in the well based on the time-varying correction coefficient alpha (t) and the well wall effect difference value delta V (t) to obtain a correction signal. According to the method, reliable data support can be provided for high-resolution inversion of stratum electrical parameters, rapid and accurate recognition of complex underground anomalous bodies is achieved, and the application effect and engineering practicability of the BTEM technology in the fields of oil-gas exploration, geothermal resource evaluation, mineral resource exploration, deep geological survey and the like are remarkably improved.

The invention provides an open environment crop chlorophyll fluorescence parameter imaging detection method and device, and the method comprises the steps: carrying out the crop canopy segmentation of a crop canopy hyperspectral image based on a crop canopy mask image, and obtaining a crop canopy image; performing hierarchical segmentation based on the crop canopy image according to a clustering algorithm to obtain an upper-layer leaf image and a lower-layer leaf image; determining upper-layer chlorophyll fluorescence intensity of the upper-layer leaf image and lower-layer chlorophyll fluorescence intensity of the lower-layer leaf image; respectively compensating the upper chlorophyll fluorescence intensity and the lower chlorophyll fluorescence intensity based on the balanced brightness and crop absorption photosynthetically active radiation to obtain an upper chlorophyll fluorescence signal correction value and a lower chlorophyll fluorescence signal correction value; and constructing a visual chlorophyll fluorescence parameter spatial distribution image based on the upper-layer chlorophyll fluorescence signal correction value and the lower-layer chlorophyll fluorescence signal correction value. The method can realize rapid and accurate imaging detection of the chlorophyll fluorescence parameters of the crop canopies in the open environment.

A system includes a reflector and a radar system positioned opposite from the reflector with an area under test therebetween having a particle-medium mixture. The radar system includes an antenna to emit, at the reflector, a series of chirps within a first electromagnetic signal and to receive a second electromagnetic signal that includes reflected chirps that bounce off the reflector. An ADC converts the second electromagnetic signal to a digital signal containing phase, frequency, and amplitude information. A processing device is to process the digital signal to: detect raw phase data of reflector peaks to be tracked over the reflected chirps; unwrap the raw phase data into a continuous phase-based signal; correct for phase non-linearities within the continuous phase-based signal; and generate, from the corrected continuous phase-based signal, a path-integrated particle number density for the particle-medium mixture.

A sensor system includes a sensor element, a signal processing circuit, and a pseudo-signal correction circuit. The sensor element outputs an electric signal corresponding to an external force. The signal processing circuit converts the electric signal coming from the sensor element into a signal having a certain signal format and then outputs the signal thus converted. The pseudo-signal correction circuit corrects a pseudo-signal outputted by the sensor element. When receiving a test signal, the sensor element performs a self-diagnosis based on the test signal and then outputs the pseudo-signal, which represents a result of the self-diagnosis. The pseudo-signal correction circuit corrects the pseudo-signal based on environment information about an environment where at least one of the sensor element or the signal processing circuit is located.

A magnetic sensor comprises a magnetic detection unit that outputs a signal by applying a magnetic field, and a signal correction unit that corrects the signal output from the magnetic detection unit. The magnetic detection unit includes a magnetoresistive effect element having a predetermined sensitivity axis. The signal correction unit generates a corrected signal by correcting the signal using a correction value capable of reducing the distortion error included in the signal output from the magnetic detection unit when the magnetic field having an intersecting direction that obliquely intersects the sensitivity axis is applied to the magnetoresistive effect element.

The invention relates to a correction method suitable for a transmission type ultrasonic scanning system. The method comprises the following steps: acquiring roller scanning characteristics of a roller pair in the transmission-type ultrasonic scanning system, and constructing a correction matrix group taking the physical length of the corresponding surface of the current roller pair as a reference, the correction matrix group comprises a transmitting correction matrix corresponding to a transmitting roller in the current roller pair and a receiving correction matrix corresponding to a receiving roller in the current roller pair, and determining the working rotation state of the current roller pair during transmission signal correction, and obtaining a correction gain coefficient corresponding to each receiving array element based on the working rotation state of the current roller pair so as to correct the received transmission signal by using the obtained correction gain coefficient. According to the invention, transmission signals can be effectively corrected, signal distortion caused by factors such as uneven surface of the roller, uneven materials and angular deviation of the current roller pair during rotation can be eliminated, and the precision and reliability of transmission-type ultrasonic scanning detection are improved.

The invention discloses a displacement sensor signal correction method of a transverse displacement unlocking coupling system, and particularly relates to the technical field of signal correction. Acquiring original displacement signal sequences of the coupling system in different states; constructing a reference displacement model based on a structural gap, a friction coefficient and a micro-motion characteristic; calculating the deviation between the original signal and the reference model, and extracting a correction coefficient; establishing a dynamic correction function combining the historical deviation and the change rate; performing segmented correction on the initial and operation stage signals by using the correction coefficient and the dynamic function to obtain a corrected displacement signal sequence; the correction signal is input into a coupling system control module, the coupling state and the transverse displacement degree are recognized, and dynamic feedback regulation and control are completed; according to the invention, the accuracy and stability of displacement signals are improved, intelligent coupling of signal correction and structure control is realized, and the method is suitable for a high-precision displacement monitoring and control system in various complex structure projects.

The invention provides a signal correction method and device, electronic equipment, a chip and a storage medium, and the method comprises the steps: determining a target DPD coefficient corresponding to an input signal from a plurality of DPD coefficients based on first model information, the first model information being used for identifying the type of a DPD model, and the plurality of DPD coefficients being output through a trained DPD model; based on the target DPD coefficient, a pre-distortion component of the input signal is determined, the pre-distortion component being used to correct an output signal of the input signal passing through the power amplifier. The output signal of the power amplifier can be corrected by adopting different types of DPD models, so that the output signal is a linear signal.