45 results about "Impulse detection" patented technology

The invention discloses a partial discharge intelligent detection method and a partial discharge intelligent detection system. The method comprises the following steps: firstly, synchronously acquiring a multi-channel ultrasonic signal and a surface infrared image sequence of to-be-detected power equipment; performing pulse detection, cross-channel clustering based on a sliding time window and time difference positioning on the ultrasonic signal to obtain a preliminary discharge point; the multi-moment infrared images are intelligently selected and fused based on the ultrasonic pulse active time period, and a target surface infrared image highlighting the abnormal temperature rise area is generated; performing spatial aggregation on the ultrasonic positioning point and the infrared abnormal region to form a suspected sound-heat associated discharge source; respectively extracting waveform features and temperature features from the aggregated ultrasonic pulse set and the infrared region, fusing the waveform features and the temperature features, and inputting the fused features into a dual-channel neural network model; and finally, the model outputs a discharge type identification result and a discharge intensity evaluation value of the suspected discharge source. According to the invention, through deep space-time fusion and feature level fusion, the positioning precision and identification accuracy of partial discharge detection are significantly improved.

The invention discloses a full-localization ultra-high-speed multi-channel ADC (Analog to Digital Converter) acquisition and processing platform, and relates to the technical field of signal processing. The platform comprises a high-stability clock distribution calibration module, a synchronous acquisition and pulse injection module, a pulse detection and integer deviation module, a coarse-grained translation alignment module, a sub-sampling phase extraction module, a fractional delay interpolation alignment module, a hierarchical storage and flow control module and a high-speed interface synchronous output module. Multi-channel sampling clock synchronization is realized through FPGA dynamic phase adjustment; performing coarse-grained translation by injecting calibration pulses to detect integer deviation, extracting a sub-sampling phase difference, and adopting fractional delay filtering to realize sub-sampling precision alignment; hierarchical storage and intelligent flow control are carried out according to priorities, and synchronous data flow is output through a domestic high-speed interface; through a full-flow domestic chip and a synchronous correction technology, sub-sampling precision alignment and hierarchical flow control output of a multi-channel ADC at an ultrahigh sampling rate are realized.

The invention discloses an SAR interference suppression method based on echo asynchronous pulse detection, and the method comprises the steps: constructing a local odd-even channel comparison mode or a global reference pulse comparison mode, directly carrying out the processing in a time domain of an SAR echo data matrix, determining a corresponding mode through the energy characteristics of an interference signal, and carrying out the detection of the interference signal. Constructing a channel difference mask and an outlier mask in the corresponding mode, and finally obtaining an interference mask in each mode; establishing a mask matrix based on the interference mask, and processing the amplitude matrix to obtain an amplitude matrix after interference suppression processing; and combining the phase matrix to obtain a final non-interference SAR echo data matrix. According to the method, interference artifacts brought to SAR image data by the forwarding type coherent interference can be suppressed, and the phenomenon of sidelobe deterioration of strong scattering points in the image after frequency domain notch is eliminated, so that the forwarding type coherent interference existing in the SAR echo data is effectively suppressed.

The invention discloses an acoustic signal partial discharge detection system of a distribution network transformer, which is characterized by comprising a multi-sensor acquisition unit, a synchronous clock control unit, a signal preprocessing unit, an edge calculation processing unit and a communication and storage unit, the edge calculation processing unit integrates a cross-band denoising module, a multi-scale feature extraction module, a lightweight neural network diagnosis module and a diagnosis result fusion module, wherein the cross-band denoising module is used for performing joint denoising on audible sound and ultrasonic frequency band signals. According to the invention, a set of partial discharge detection scheme for a distribution network transformer scene is established, and the scheme flow comprises denoising, feature extraction, neural network training and diagnosis. According to the scheme, audible audio frequency band and ultrasonic frequency band data are covered, and interference generated by mechanical vibration of the transformer in the ultrasonic frequency band is removed through a soft threshold value of wavelet transformation and a pulse detection denoising algorithm.

This invention relates to a radar pulse signal detection method and apparatus based on sparse spectrum sensing. The radar pulse signal detection apparatus based on sparse spectrum sensing includes a sparse spectrum sensing module, a dynamically adjusted adaptive filtering module, and a dual-threshold pulse detection module. The sparse spectrum sensing module performs single-bit sampling on the original signal to obtain the signal frequency and bandwidth. The dynamically adjusted adaptive filtering module filters the signal according to the signal frequency and bandwidth. Utilizing the sign bit of the AD data for spectral sensing, the system monitors and tracks the input spectral distribution in real time. Compared to the traditional short-time Fourier transform, this significantly reduces the resources required for signal processing and increases the processing bandwidth. During filtering, based on the pulse signal center frequency and bandwidth obtained from the spectral monitoring module, the dynamically adjusted adaptive filtering module adjusts the filter's center frequency to achieve tracking and filtering of the radar pulse signal.

The invention discloses an intelligent control system and method for a high-power laser driving power supply, and relates to the field of laser control, the method comprises the following steps: transmitting pulse detection laser, presetting the pulse width, repetition frequency and monopulse energy, calculating the loss ratio of a spectroscope through an integrated infrared temperature sensor, an optical power meter and the spectroscope, and calculating the power consumption of the spectroscope; basic parameters such as the initial temperature, the reflection power, the melting temperature and the temperature reflection correlation parameters of the reflecting material are obtained, and a database is built; emitting continuous working laser, calculating an energy density conversion coefficient and a reflection power peak value, and performing associative storage; detecting the center temperature of a material light spot in real time, predicting real-time reflection power by combining a reflection power peak value, and dynamically adjusting the actual power of working laser according to the temperature, a reflection power threshold value and an adjustment coefficient; and monitoring the temperature change rate and the reflection power, and if the temperature change rate and the reflection power exceed a safety threshold, early warning and stopping laser. According to the method, reflected laser dynamic control is achieved, laser energy output stability and machining precision are improved, and reliable system operation is guaranteed.

The invention discloses an aircraft fuel quantity measurement self-adaptive filtering method, system and device based on multi-dimensional statistic dynamic adaptation and a medium. The method comprises the following steps that S01, signals are collected and preprocessed; dividing a fuel quantity digital signal output by a sensor into continuous time blocks according to a fixed time window; s02, calculating a multi-dimensional statistical magnitude; comprising the mean value, variance and kurtosis of the current time block; s03, performing multi-stage filtering processing; s04, performing data fusion and conversion; and keeping the original value of the data pulse point, and combining the original value with the fine filtering result of the non-pulse point to obtain a complete filtered signal. By monitoring the multi-dimensional statistical characteristics (mean value, variance and peak value) of a fuel quantity signal in real time and combining a coarse filtering-pulse detection-fine filtering multi-stage structure, filtering parameters are dynamically adjusted, efficient suppression of mixed noise (low-frequency shaking, Gaussian noise and pulse noise) is achieved, and the precision of fuel measurement under complex working conditions is improved.

The application provides a high duty cycle signal discrimination and suppression method for a wide bandwidth space receiver, comprising the following steps: step 1, background noise statistical processing; step 2, amplitude calculation and peak searching processing; step 3, peak signal space resolution; step 4, single beat statistical quantity generation; step 5, multi-beat statistical quantity generation; step 6, duty cycle calculation and cross-frequency point merging; step 7, high duty cycle signal judgment; and step 8, high duty cycle signal suppression threshold generation and output. The high duty cycle signal discrimination result and the high duty cycle signal suppression threshold generated by the application play a role before the generation of the pulse level detection result, are a beneficial supplement to the traditional background noise statistical threshold and the CFAR threshold, can filter out the high duty cycle signal in the pulse detection stage, can greatly reduce the processing pressure of the subsequent pulse pretreatment and signal sorting, and can improve the interception quality of the receiver to the normal radar pulse signal.

This invention discloses a radiation source signal classification method based on pulse-level multi-source separation, mainly addressing the problem of poor radiation source signal classification performance in complex electromagnetic environments using existing technologies. The implementation steps are as follows: 1) Receiving broadband intermediate frequency or baseband signals and performing pulse detection; 2) Estimating the direction of arrival and constructing pulse descriptors for the detected pulses based on a multi-element antenna structure; 3) Modeling a pulse-level multi-dimensional feature space and performing density peak clustering based on temporal consistency constraints within this space; 4) Adaptively estimating the number of radiation sources and reconstructing the pulse sequence, performing multi-physical domain feature extraction; 5) Fusing the multi-physical domain features to complete the classification and identification of radiation source signals. This invention can effectively distinguish pulses from different radiation sources in complex electromagnetic environments, while effectively reducing the system's storage and computing resource consumption while ensuring high recognition performance.

The invention discloses a second pulse detection protection circuit, system and method and a vehicle. The second pulse detection protection circuit comprises a second pulse transmission module, an input signal detection module and an output signal detection module. The second pulse transmission module outputs a second pulse signal, the input signal detection module outputs a second pulse sampling signal I, the input end of the output signal detection module is connected with the output end of the second pulse transmission module, and the output signal detection module outputs a second pulse sampling signal II; the positioning module is used for judging whether to generate the second pulse signal based on the second pulse sampling signal I and selecting to generate the second pulse signal, and judging whether to stop generating the second pulse signal and whether to output the second pulse signal based on the second pulse sampling signal I and the second pulse sampling signal II. According to the invention, accurate second pulse signals can be obtained in real time.

A method and system for inspecting polarization in a fibered optical path. The method being executed by a computer-implemented system comprising a controller and at least one detector communicatively coupled to the controller, the computer-implemented system being operatively connected to the fibered optical path, including: causing a laser to emit at least one optical pulse into the fibered optical path; detecting a plurality of reflected optical signals from the fibered optical path; determining a plurality of experimental correlation values based on the plurality of reflected optical signals and a reference signal function; and in response to a given experimental correlation value of the plurality of experimental correlation values being less than a threshold, identifying a mechanical disturbance caused by birefringence in the fibered optical path, the mechanical disturbance being located at a location of the plurality of locations corresponding to the given experimental correlation value.

Systems and methods for detecting a timing interval in which a light pulse is received by a photodetector array comprising: receiving, by a plurality of photosensitive elements of the photodetector array, electromagnetic radiation from a field of view, accumulating, by each of the plurality of photosensitive elements, an electrical charge proportional to an intensity of received electromagnetic radiation during an integration time period, and performing a search on signals converted from the accumulated electrical charge to detect a light pulse appearance with a predefined precision. Performing the search may include performing a fine search stage including: controlling the duration of the integration time period for each of the plurality of photosensitive elements and a temporal relationship between the integration time periods of the photosensitive elements. The temporal relationship between the integration time periods of the photosensitive elements may define a distinct temporal pattern corresponding to each timing interval within the duration of the integration time period. Detecting a timing interval in which a light pulse is received from the field of view by identifying the distinct temporal pattern corresponding to that timing interval.

The invention relates to an LED lamp light decay compensation method based on pulse driving and an intelligent range hood. The method comprises the following steps: acquiring a pulse detection signal output by a photoelectric detection module under test light of an LED lamp; the test light is generated by controlling the LED lamp through a pulse driving signal; calculating a response delay index based on the pulse detection signal and the pulse driving signal; and compensating the original driving current of the LED lamp based on the response delay index to obtain a new driving current, thereby solving the problem of poor reliability of LED attenuation compensation, and using the time response characteristic of the signal as the basis for judging the LED attenuation state, not only realizing adaptive compensation, but also improving the accuracy and reliability of LED light attenuation compensation.

The application discloses a kind of fast autonomous detection guiding interference methods based on ZYNQ platform, applied to detection guiding interference system, comprising: the main channel radio frequency signal is sent into high-speed single-bit ADC, and after PL end receives high-speed single-bit ADC data, real-time pulse detection and rough frequency measurement;By rough frequency measurement result, each channel radio frequency signal is input after frequency conversion, and corresponding intermediate frequency ADC is input;PL end is according to rough frequency measurement result, after the signal of each intermediate frequency ADC is received differentially, pulse parameter is measured after frequency conversion, and pulse description word is sent into PS end;PS end uses pulse description word to match radar library, and pulse description word is sorted and calculated, and the calculation result is sent to peripheral equipment, and the calculation result is updated radar library, and the corresponding interference strategy is selected by the radar characteristic parameter matched, and the interference parameter is sent to PL end;PL end generates interference signal according to the pulse parameter of each signal and interference parameter, and after processing, interference signal is sent.The application can real-time self-adapting radar signal fast reconnaissance and guiding interference.

The embodiment of the present specification provides an auxiliary card searching module, method and near field communication device. Wherein, the auxiliary card searching module comprises a pulse detection unit, a control unit and a modulation unit; the control unit is connected with the pulse detection unit and the modulation unit respectively; the pulse detection unit is used for generating a trigger signal within a preset time length based on a response signal of a device antenna of the slave device; the response signal is generated by the device antenna of the slave device in response to the radio frequency signal sent by the master device; the preset time length is less than the pulse time length of one radio frequency signal sent by the master device; the control unit is used for controlling the modulation unit to switch states according to the trigger signal, so as to promote the master device to enter the polling mode.

This invention discloses a fault mode-driven multi-mode intelligent anomaly diagnosis method and system for power automation systems. The method includes offline learning and online detection phases. In the offline phase, detection knowledge items, including purified historical statistical baselines and ramp-up discrimination models, are periodically generated and stored. In the online phase, the data is preprocessed and adapted, and corresponding dedicated detection operators are activated according to the indicator type, combined with the detection knowledge items for analysis. The dedicated detection operators include ramp-up detection operators for resource-related indicators, pulse detection operators for performance-related indicators, and trend change point detection operators for disk-related indicators. The ramp-up detection operators employ a parallel fusion structure of seasonality analysis and model discriminant analysis. Candidate events output by the detection are converted into alarm records after suppression judgment. This invention achieves accurate and interpretable intelligent fault diagnosis through a closed loop of "offline baseline purification, online mode adaptation, and diagnostic output."

The invention relates to a signal pulse width detection and splicing method based on a sliding window and a double-threshold state machine, and the method comprises the steps: carrying out the pulse detection of an electromagnetic pulse signal currently collected by electronic reconnaissance equipment, determining whether the electromagnetic pulse signal is an effective signal, and configuring a flag bit according to the detection result of the effective signal; at the rising edge of the clock, the sliding window shift register is used for storing the electromagnetic pulse signal; calculating the sum of corresponding signal flag bits and the sum of effective data amplitudes based on the data stored in the sliding window shift register; comparing the sum of the signal flag bits with a preset threshold value, and determining a corresponding signal state; when the signal state is a high level state, determining a corresponding signal amplitude average value based on the ratio of the sum of the effective data amplitudes to the sum of the signal flag bits; and constructing effective signals based on the signal amplitude average value and outputting the effective signals so as to splice the effective signals. According to the method, the problems of inaccurate signal pulse width detection and incomplete splicing in a complex electromagnetic environment are solved.

The invention discloses a broadband radar signal reconnaissance and parameter estimation system and method and a storage medium. The system comprises a frequency spectrum reconnaissance module used for performing Fourier transform on reconnaissance channel input data and detecting a first carrier frequency and a bandwidth of a signal in a frequency domain; the signal processing module is used for carrying out self-adaptive frequency conversion and filtering on the input data according to the parameters; the pulse detection module is used for performing pulse detection on the filtering signal and finely estimating a second or third set of carrier frequency and bandwidth parameters of the frequency modulation or phase modulation type signal; the direction-finding data FFT module is used for performing FFT conversion on the lateral channel data to extract phase information; and the packaging module is used for packaging the pulse detection result and the phase information into pulse description words and outputting the pulse description words. According to the invention, the integrated processing of the broadband radar signal from rapid reconnaissance, precise processing, modulation identification to direction finding information fusion is realized, and the real-time processing capability of the system, the throughput of the broadband signal and the parameter estimation precision are obviously improved.

The application provides a wide dynamic pulse laser ranging method and system of a neural network, comprising the following steps: S1, collecting echo signals after a laser radar transmits laser signals; S2, extracting characteristic parameters of the transmitted and received waveforms; S3, detecting rising edges and falling edges of the characteristic parameters, and if both the rising edges and the falling edges are valid, the pulse detection is successful; S4, calculating a time difference of corresponding positions of a seed light waveform of the transmitted signals and a waveform of the echo signals; and S5, obtaining a distance between the laser radar and a target by a time-of-flight ranging method. The application has reduced operation amount, high measurement accuracy and strong adaptive capacity. The wide dynamic ranging can be realized by a single-channel ADC acquisition module. The system has few channels, a simple circuit structure and low power consumption. The trained neural network can accurately predict the ranging result according to the input waveform characteristics.

The application discloses a kind of explosion vibration source positioning method, system and computer program product based on machine learning classification and guided pulse detection, it is related to signal processing and target positioning technical field, solve the problem of insufficient robustness of existing detection method in complex environment.It includes the following steps: step S1, multi-channel signal is synchronously collected, and the multi-channel signal is pretreated;Step S2, pulse detection is carried out to the multi-channel signal after pretreatment, and TOA sequence is formed;Step S3, preliminary detection is carried out to TOA sequence, and after extracting features, the features are input into machine learning model for classification, and the output category is explosion, then enter positioning solution;Step S4, positioning solution is carried out, and the solution result is output.

This invention relates to fiber optic gyroscopes, specifically to a method, processing circuit, and fiber optic gyroscope for reducing scaling factor error. It addresses the shortcomings of fiber optic gyroscopes, such as fiber ring aging during prolonged operation, which alters the scaling factor compensation model across the entire temperature range, leading to decreased long-term scaling factor stability and limiting gyroscope applications. The method for reducing scaling factor error involves using a pulse detection circuit between the PIN-FET photodetector output and the FPGA input to measure transit time error. This error is then used to correct the modulation time, ensuring the fiber ring length is under closed-loop control.

The application belongs to the field of integrated circuits, and discloses a polarity pulse modulation and demodulation circuit applied to isolated communication, which comprises a first delay circuit, a second delay circuit, an AND gate, a NOT gate, a pulse driving circuit, a transformer, a pulse detection circuit and an SR flip-flop; the first input end of the AND gate is connected with the output end of the first delay circuit, the second input end is used for inputting a digital signal, and the output end is connected with the pulse driving circuit; the first input end of the NOT gate is connected with the output end of the second delay circuit, the second input end is used for inputting an input signal, and the output end is connected with the pulse driving circuit; the primary side of the transformer is connected with the pulse driving circuit, and the secondary side is connected with the pulse detection circuit and the SR flip-flop in sequence. The delay circuit has the characteristics of stable delay time, which guarantees the certainty of the pulse width of the transmitted pulse signal, and then the pulse amplitude of the pulse signal is controlled through the pulse driving circuit, so that the pulse signal can realize long communication distance in a typical twisted pair line.

Techniques are disclosed for operating a time-of-flight (TOF) sensor. The TOF may be operated in a low power mode by repeatedly performing a low power mode sequence, which may include performing a depth frame by emitting light pulses, detecting reflected light pulses, and computing a depth map based on the detected reflected light pulses. Performing the low power mode sequence may also include performing an amplitude frame at least one time by emitting a light pulse, detecting a reflected light pulse, and computing an amplitude map based on the detected reflected light pulse. In response to determining that an activation condition is satisfied, the TOF may be switched to operate in a high accuracy mode by repeatedly performing a high accuracy mode sequence, which may include performing the depth frame multiple times.

This invention provides a frequency-shifted multi-channel Rydberg atomic electromagnetic pulse detection device, method, and apparatus, relating to the fields of quantum precision measurement technology and electromagnetic pulse detection technology. The device's frequency-shifted detection light emission module outputs multiple detection beams with different preset frequency shifts, and incidents these beams parallel, coplanar, and non-overlapping onto an atomic gas cell. A paired coupling light emission module outputs multiple coupled beams, also incident parallel, coplanar, and non-overlapping onto the interior of the atomic gas cell, ensuring that each coupled beam and its corresponding detection beam within the atomic gas cell are arranged in opposite directions along the same optical axis. The atomic gas cell forms multiple transient electromagnetic pulse detection channels under the combined action of the multiple detection beams and the multiple coupled beams. This invention solves the problem that single-channel Rydberg sensors cannot capture the complete waveform of a large dynamic transient electromagnetic pulse in a single real-time event, achieving complete detection of transient electromagnetic pulses over a large dynamic range.

Optical Pulse Detection Device and Method The present invention relates to an optical pulse detection device (10), the detection device (10) comprising: a single detector (12) comprising N independent detection surfaces (20) of the same dimensions, N being an integer greater than or equal to two, the N detection surfaces (20) being suitable for receiving an optical pulse of identical power surface density on all the detection surfaces (20), M signal processing chain(s) (14) for the output signals of the N detection surfaces (20), M being an integer between 1 and N, each processing chain (14) comprising an amplification unit (22) having an amplification gain and a filtering unit (24),each processing chain (14) being connected to one or more detection surfaces (20) distinct from any other possible processing chains (14) such that each detection surface (20) is connected to one or more of the M processing chains (14). Figure for the abbreviation: 2,

The invention discloses a neural pulse rapid sorting method and system based on a multi-stage self-adaptive strategy. The neural pulse rapid sorting method and system are suitable for real-time processing of MEA, multi-channel electrophysiology, deep brain recording and brain-computer interface data. The system comprises a data import module, a preprocessing module, an adaptive threshold detection module, a waveform feature extraction module, a multi-scale clustering module, a template updating module, a quality evaluation module and a result export module. According to the system, a dual-channel parallel high-pass filtering and self-adaptive MAD threshold value method is adopted, and real-time pulse detection which is free of artificial participation and can be directly carried out through CPU peak-splitting sorting is achieved; in the clustering stage, UMAP dimension reduction and HDBSCAN dense clustering are combined, and noise drift self-calibration in continuous records is supported; the template updating strategy is based on dynamic time warping (DTW) and Bayesian fusion, and can automatically eliminate false peaks, merge similar templates and split aliasing units. The system supports large-scale batch processing accelerated by the GPU, and the data processing time of 32 channels and the sampling rate of 20 kHz in one hour is shortened to 1-2 minutes. The method solves the problems that the speed is low, parameters highly depend on expert experience, drift correction is insufficient and repeatability is poor in existing spike sorting, and can be applied to neuroscience research, brain-computer interface and disease mechanism research and clinical electrophysiology monitoring.

The application discloses a kind of cylindrical shell component internal crack identification method, it is related to cylindrical shell component technical field.The method steps include: collecting acoustic vibration signal data and carrying out pulse detection, obtain pulse family characteristic vector;Pulse family characteristic vector is subjected to consistency test and band matching degree analysis to obtain pulse variation coefficient and band matching index, the crack confidence level is obtained in combination of the two, greater than preset threshold value then determine that there is crack;After confirming crack, wave propagation characteristic vector is obtained based on pulse family characteristic vector, wave propagation correlation coefficient is obtained by dynamic event regularization method, the first order difference variance of wave propagation characteristic vector is calculated to obtain wave propagation difference variance, combined to obtain comprehensive difference degree, crack candidate abnormal points are determined accordingly, high-confidence crack source area is obtained by neighborhood propagation analysis;Cylindrical shell micro area is divided, and zoning weight is obtained by analytic hierarchy process, and the number of high-confidence crack source area in zoning is combined to determine zoning crack risk level.

The application discloses an anti-folding clutter processing method based on phase modulation and narrow pulse elimination. Firstly, an inter-pulse phase modulation radar echo model is established, random or pseudo-random phase coding pulses are transmitted, and far-zone folding clutters carry different phase modulation codes; then, phase compensation and phase correlation accumulation are performed on received echoes, target signals are coherently superimposed, and folding clutters cannot be accumulated due to random phases; next, MTI and MTD processing is performed on a slow time sequence, and a range Doppler spectrum is extracted; again, based on amplitude differences of adjacent pulses of the same range gate, amplitude jumps caused by folding clutters are eliminated; finally, by using a time domain expansion characteristic, narrow pulse interference is detected and eliminated through a peak-to-average ratio threshold, and a clean spectrum is output. The application organically combines phase modulation, amplitude difference elimination and narrow pulse detection, effectively suppresses range folding clutters, significantly improves a detection probability of a low-altitude, slow and small target, has low computational complexity, does not need complex hardware, and is easy to implement in engineering.

Optical Pulse Detection Device The present invention relates to an optical pulse detection device (10), the detection device (10) comprising: a single detector (12) adapted to deliver a current signal (ID) following the reception of an optical pulse on the single detector (12), a single measurement chain (14) comprising: a main branch (20) connected to the single detector (12) so as to receive the current signal (ID), a first measurement stage (22) adapted to measure the temporal amplitude of the optical pulse as a function of the current signal (ID), and a second measurement stage (24) adapted to measure the energy of the optical pulse as a function of the current signal (ID). Figure for the abstract: 1