161 results about "Pulse pair" patented technology

The invention discloses a live detection method for insulation defects of high-voltage power equipment. The method comprises the following steps: firstly, synchronously arranging ultrahigh frequency sensors and acoustic emission sensors on a plurality of monitoring points on the surface of a gas insulated switchgear shell to form an array, and synchronously acquiring signals for filtering pretreatment; then, pulse events are extracted from the two types of signals respectively, and associated pulses in a time window are matched into matched pulse pairs representing the same discharge source; then, carrying out time-frequency transformation on the ultrahigh frequency and acoustic emission pulse waveform in each matched pulse pair, carrying out joint noise reduction by calculating a coherence coefficient between time-frequency distribution matrixes, and extracting a joint feature vector containing an energy ratio, a time parameter ratio and a frequency difference from the denoised time-frequency matrix; according to the invention, multi-source signals are fused, and high-sensitivity detection, high-precision positioning and high-accuracy identification of insulation defects are realized.

The invention discloses an end-to-end radar working mode identification method based on hierarchical density clustering and an encoder, and the method comprises the steps: firstly obtaining the pulse repetition interval PRI, PW pulse width and carrier frequency RF data of a radar pulse, and constructing a radar pulse sequence; and meanwhile, recording an initial working mode label corresponding to each pulse. Secondly, inputting a radar pulse sequence for preprocessing to obtain a preprocessed radar pulse sequence; and finally, performing working mode identification on the preprocessed radar pulse sequence through an encoder structure neural network model, and outputting a working mode corresponding to the radar. According to the method, the input sequence quality is remarkably improved, data interference is reduced, and the recognition rate of a complex radar working mode is improved.

The invention provides a vehicle OTA upgrade method and upgrade system based on quantum encryption, relates to the technical field of vehicle OTA upgrade, and is applied to a server, and the server and a vehicle establish a quantum channel and a classical channel through an optical fiber interface integrated on a charging pile. The method comprises the following steps: in response to a received quantum state light pulse which is sent by a vehicle through a quantum channel and is coded with a random first basis vector, measuring the light pulse; comparing a second basis vector for measurement with the first basis vector in a classic channel, screening a matching result to obtain a first key, and determining the quantum bit error rate of the first key; if the quantum bit error rate is smaller than the bit error rate threshold, compressing the first key to obtain a second key; and encrypting an OTA upgrade package obtained from the main engine plant cloud platform based on the second key, sending the OTA upgrade package to the vehicle through the optical fiber interface, and decrypting the vehicle to complete upgrade. According to the method, the information leakage risk is effectively eliminated by utilizing quantum characteristics and combining quantum bit error rate judgment, compression processing and the like, so that the security of OTA upgrading is improved.

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 relates to the technical field of non-electrical variable control or regulation systems, and discloses an exhaust gas aftertreatment flow channel back pressure dynamic regulation method, which comprises the following steps: acquiring a supply source phase reference signal and establishing cyclic mapping; a fluid channel pressure signal pulse range change rate is extracted to determine a feed-forward factor; determining a pressure signal trough interval as an action window; determining a reference amplitude based on the feedback deviation and using a feed-forward factor for compensation to determine a target adjustment instruction; the adjusting mechanism is driven to move in the action window, so that the response peak value is locked in the trough interval, the adjusting action is locked in the low-energy phase, kinetic energy intervention of fluid pulses on the adjusting mechanism is avoided, and mechanical abrasion is reduced; pulse characteristic feed-forward compensation is utilized to enable an adjusting instruction to sense the trend of a flow field, the response speed is increased while a signal is smoothed, and pressure balance under the transient working condition is maintained.

The present disclosure relates to a system and a method of performing Gaussian boson sampling via time multiplexing correlation of squeezed vacuum states for quantum information experiments. One embodiment relates to a method for performing Gaussian boson sampling comprising the steps of—generating a set of pulsed pairs of squeezed vacuum states,—performing time 2024 / 038212 multiplexed correlation of multiple of such pairs of squeezed vacuum states,—measuring, via a homodyne detection, a state from the pairs of generated squeezed vacuum states,—feed-forwarding the homodyne result of the measured states to a displacement unit,—performing displacement operations on the remaining state from the pairs of generated squeezed vacuum states, and—counting the states output from the displacement unit.

The invention provides a virtual synchronization mechanism network type control method, system and device based on flux linkage synchronization control and a medium, and the method comprises the steps: obtaining a three-phase AC voltage reference value based on the grid-connected point output data of a network type inverter through employing a virtual synchronization machine control strategy; based on the three-phase alternating current flux linkage measurement value, synchronous feedback correction is carried out on the three-phase alternating current voltage reference value, a PWM modulation input signal is obtained, and a trigger pulse is generated to carry out synchronous control on the network-forming inverter; according to the method, a virtual synchronous machine control strategy is combined with flux linkage synchronous control, and a three-phase alternating-current voltage reference value is subjected to synchronous feedback correction by utilizing a three-phase alternating-current flux linkage measurement value before PWM (Pulse-Width Modulation) modulation, so that synchronous control is performed on the grid-forming type inverter, the deceleration area of a transient power angle curve of the grid-forming type inverter can be increased, and the stability of the grid-forming type inverter is improved. Therefore, the limit clearing time of the grid-forming inverter is prolonged, and the transient stability and the large disturbance fault resistance of the grid-type inverter of the virtual synchronization mechanism are improved.

The invention discloses a grid exhaustion search cross-pulse pairing method based on correlation matching, and belongs to the technical field of radio signal positioning and detection. According to the method, aiming at the problems of large cross-pulse signal pairing calculation amount and low accuracy in a multi-aircraft cooperative positioning system, efficient and accurate cross-pulse pairing is realized by establishing a cross-pulse boundary model, a symbol matching constraint mechanism and a related matching verification mechanism. The method comprises: determining upper and lower bounds of a cross-pulse according to a geometrical relationship; correcting the search range by using symbol matching; solving a candidate target solution in the limited interval by adopting grid exhaustion search; and a unique effective solution is screened through time and geometry consistency verification. The method can effectively reduce the calculation complexity, improves the cross-pulse pairing precision and uniqueness, and is suitable for a passive positioning system in a multi-target, multi-base-station and low-signal-to-noise-ratio environment. Experiments prove that the pairing time can be shortened by about 50% while high positioning precision is kept, and the method has high engineering application value.

The application discloses a time synchronization method and system for quantum communication, wherein the method comprises the following steps: S100, performing second alignment on a transmitting end and a receiving end; S200, judging whether the synchronization optical pulses received by the transmitting end and the receiving end are a pair of synchronization optical pulses, and numbering the first pair of synchronization optical pulses found; S300, judging whether a subsequent optical pulse is missing according to the pulse timing property at the receiving end; S400, judging and numbering the quantum optical signals in the interval between the two synchronization optical pulses successively meeting the step S300 at the receiving end; and S500, repeating the steps S300 and S400 until the synchronization optical pulses and the quantum optical signals in one second are all judged and numbered. The application realizes high-precision time synchronization and adapts to higher frequency of quantum communication.

The invention discloses an aircraft composite material structure health monitoring system and method, and relates to the field of aircraft material health monitoring, and the system comprises a DAS integrated optical module which is used for generating and transmitting an optical pulse pair subjected to heterodyne phase modulation to a single-mode optical fiber sensing network, and converting backward Rayleigh scattering light into an electric signal; the single-mode optical fiber sensing network is arranged on the surface of the aircraft composite material structure and is used for converting an acoustic emission signal containing the physical change of the aircraft composite material structure into an optical phase change signal by utilizing a coherent Rayleigh scattering effect; the digital signal processing module is used for carrying out signal processing on the electric signal by utilizing a heterodyne phase modulation method based on instantaneous frequency tracking so as to identify and position the damage of the aircraft composite material structure; and the alarm output module is used for outputting a damage position, a damage degree grade and an alarm signal of the airplane composite material structure in real time when the structural damage is detected, so that full-distribution and wide-range online accurate monitoring is realized.

The invention discloses a radar signal sorting method based on an improved long short-term memory network, and the method comprises the steps: extracting a pulse arrival time sequence, namely, a TOA sequence, from a pulse description word stream of a radar receiver; discretization processing is conducted on the TOA sequence through a preset fixed time window width wunit, the TOA sequence is mapped into a binary vector, each time window corresponds to one position in the vector, if a pulse arrives in the window, the corresponding position is set to be 1, and otherwise, the corresponding position is set to be 0; an improved ILSTM neural network is constructed, the network adopts an encoder-decoder architecture, and an encoder is used for performing high-level feature extraction on an input binary sequence and outputting a context feature vector; the decoder performs sequence prediction or reconstruction by using the context feature vector so as to output a sorting result; training the improved LSTM neural network by using a binary TOA vector data set of a known radiation source label, and optimizing network parameters; and after processing the to-be-sorted interleaved pulse TOA sequence, inputting the to-be-sorted interleaved pulse TOA sequence into the trained ILSTM network, and outputting a radiation source sorting result corresponding to each pulse by the network. The method is suitable for radar signal sorting in high-density, complex-modulation and strong-interference environments.

The invention relates to a magnetic resonance system, a magnetic resonance imaging sequence and an optimization method. The imaging sequence comprises: a radio frequency excitation pulse; the first radio frequency refocusing pulse and the second radio frequency refocusing pulse are sequentially applied after the radio frequency excitation pulse; original gradient pulses including a right side original pulse applied between the center of the first radio frequency refocusing pulse and the center of the second radio frequency refocusing pulse and a left side original pulse applied at the center of the radio frequency excitation pulse and the center of the first radio frequency refocusing pulse, the right side original pulse being applied between the center of the first radio frequency refocusing pulse and the center of the second radio frequency refocusing pulse, and the left side original pulse being applied between the center of the first radio frequency refocusing pulse and the center of the second radio frequency refocusing pulse. The left side original pulse comprises a first gradient pulse corresponding to the radio frequency excitation pulse; and a first balance pulse, the first balance pulse being located in a first time period between an end point of the first gradient pulse and a start point of the first radio frequency refocusing pulse, and the first balance pulse including a positive pulse and a negative pulse located on the first gradient axis.

The application provides a brain-like synapse learning method and a brain-like technology neural morphological hardware system, and the method comprises the following steps: determining a pulse pair generated by a presynaptic neuron and a postsynaptic neuron in a brain-like synapse learning circuit, wherein the pulse pair comprises an input pulse generated by the presynaptic neuron and an output pulse generated by the postsynaptic neuron; determining an STDP mechanism corresponding to the pulse pair and a synapse weight corresponding to the STDP mechanism based on the pulse pair; and performing STDP learning corresponding to the brain-like synapse learning circuit based on the pulse pair and the synapse weight; wherein the STDP mechanism is a pulse time-dependent plasticity mechanism, and the front and rear pulses of the pulse pair correspond to a long-term potentiation process or a long-term depression process in the STDP mechanism according to the time sequence. The application realizes online learning of brain-like intelligence, and plays the environment self-adaptive characteristics of brain-like computing.

The technology, apparatuses, and systems disclosed herein include detecting a vertical synchronization (VSYNC) signal cycle; determining a high frequency trigger pulse based on detecting a pulse width modulation (PWM) signal of an illumination component, the high frequency trigger pulse corresponding to a deactivation time of the illumination component; receiving a delay time period; and activating a first sensor at a first time within the VSYNC signal cycle, the first time determined based on the high frequency trigger pulse and the delay time period. The first sensor can sense a first sensor reading, and can be deactivated after being activated. A display setting can be adjusted based at least on the first sensor reading, and the illumination component can be activated after the first sensor is deactivated.

The invention discloses an ocean laser radar waveform photonizing and post-pulse removing method. According to the method, single photon response calibration is completed by utilizing probability histogram distribution of single photon output integral values of a photomultiplier (PMT), and photonization processing of original echo waveforms acquired by the ocean laser radar is realized; and the post-pulse probability is calibrated to realize quantitative removal of the post-pulse. The experimental device comprises a signal generator, a laser, a digital adjustable attenuator, a photomultiplier (PMT), a data acquisition card and an upper computer processing module, and the stability of system triggering and data acquisition is ensured. According to the technical scheme, through single-photon calibration based on the integral value, continuous analog sampling and uniform representation of the photon number of discrete single-photon output waveform signals are completed, interference of post-pulse on weak signals of the ocean laser radar is eliminated, the measurement precision and reliability are improved, and the device has the advantages of being simple in structure, convenient to operate and accurate in calibration and has a wide application prospect. The method is suitable for the high-precision ocean laser radar detection field.

The invention discloses a signal sorting method and device based on multi-hypothesis tracking, and a storage medium, and relates to the technical field of radar signal processing. The method comprises the following steps: acquiring a pulse TOA sequence, and calculating a PRI candidate value set; searching an effective initial pulse pair in the TOA sequence, and creating an initial tracking hypothesis for the effective initial pulse pair; aiming at the initial tracking hypothesis, searching the next matched pulse; if the matched pulse is found, judging whether the currently used PRI value is consistent with the PRI value of the initial tracking hypothesis or not: if so, updating the initial tracking hypothesis; if not, creating a new branch hypothesis; fusing and pruning all tracking hypotheses at regular intervals; confirming the tracking hypothesis meeting the output condition as a sorted radar pulse sequence, and outputting the sorted pulse sequence and a corresponding PRI change mode sequence; and repeating the steps in sequence for the residual pulse sequence which is not sorted until the sorting ending condition is met. According to the invention, the reliability of PRI sorting is improved.

A method for generating image data from a pixel cell of an image sensor, including applying a pulse to a reset gate of the pixel cell, the pixel cell including a zeroth pixel and a first pixel; generating a signal from the pixel cell by sequentially applying a pulse to a zeroth transfer gate of the zeroth pixel and a first transfer gate of the first pixel, respectively; and refraining from applying a pulse to the reset gate of the pixel cell until each of the zeroth transfer gate and the first transfer gate has been applied a pulse; sampling the signal to obtain signals S0 and S1 and a reset signal RST; determining a merged signal as a difference between the signal S1 and the reset signal RST; determining a pixel signal PD0 output from the zeroth pixel as a difference between the signal S0 and the reset signal RST; and determining a pixel signal PD1 output from the first pixel as a difference between the signal S1 and the signal S0.

The invention provides a coherent optical time domain reflection sensing device and a method thereof, and relates to the technical field of distributed optical fiber acoustic wave detection. The device comprises a light source, a 1 * 2 coupler, a control and signal processing unit, an arbitrary waveform generator, a double-path parallel Mach-Zehnder electro-optical modulator, a reference arm optical fiber, an erbium-doped optical fiber amplifier, an optical filter, a circulator, a sensing optical fiber, a 90-degree optical mixer, a photoelectric detector and a data acquisition card. A detection light sequence containing positive and negative frequency shift light pulse sequences is injected into a sensing optical fiber, returned signal light which carries light phase information of each detection point and has superposed frequencies is mixed with local reference light, signal separation is achieved after the signal light is multiplied by complex factors corresponding to each frequency shift pulse and integration of a periodic integral multiple window is carried out, and the detection point light phase information is obtained. And optical phase information demodulation is carried out, and then fusion of detection results of optical signals of various frequencies is carried out, so that high-sampling-rate sensing of acoustic vibration is realized.

The invention discloses a carrier dual-beam squint synthetic aperture radar inversion ocean current antenna pointing correction method. The method specifically comprises the following steps: matching POS data with an SAR echo signal; taking the SAR echo signals corresponding to a plurality of continuous pulses as a data block, and storing corresponding POS data at the same time; a data block used for carrier dual-beam squint SAR radar antenna pointing correction is screened out; calculating the component of the total Doppler center frequency of the data block used for correction in the dual-beam radial direction, and calculating the component of the Doppler center frequency caused by the motion and attitude change of the carrier platform in the dual-beam radial direction; calculating the component of the Doppler center frequency of each data block for correction in the dual-beam radial direction after the carrier platform motion and attitude change are removed, converting the component into speed, performing vector synthesis, constructing a cost function, and solving the cost function; according to the method, the ocean current vector inversion quality is improved.

A temperature strain separable dynamic and static combined measurement distributed optical fiber sensing system, comprising: laser, optical modulator, radio frequency signal generator, optical filter, DFB laser, polarization controller, first acoustooptic modulator, depolarizer, erbium-doped fiber amplifier, two optical circulators, optical wavelength division multiplexer, receiving module, signal acquisition and processing module are arranged in sequence, the application carries out temperature sensing to the back Raman scattering light of the pulse while receiving the Rayleigh scattering light of the detection pulse, and controls the time interval of adjacent pump pulse and detection pulse to carry out three-bit pulse coding and decoding, so that the back Raman scattering signals of individual pulse in pulse pair are separated in time, and finally the simultaneous measurement of dynamic variable (vibration) and static variable (temperature, static strain) is realized and the spatial resolution of measurement is ensured not to be lost.

The present application relates to the field of on-line analysis of material chemical composition, and discloses an on-line monitoring process for the composition of a lead frame electroplating solution, comprising: calculating the concentration of the electroplating solution by conventional monitoring of the spectrum; calculating a spectrum entropy index based on the degree of deviation of the real-time spectrum from a pre-established statistical baseline model, and comparing the spectrum entropy index with a pre-set failure trigger threshold; starting a dynamic calibration step only when the spectrum entropy index exceeds the pre-set failure trigger threshold, the dynamic calibration step generating a model error vector by comparing the physically real differential spectrum with the model virtual differential spectrum through injection of a standard pulse, and correcting the chemometrics model using the model error vector, so that the present application realizes on-demand calibration, ensures real-time accuracy of the model, and reduces the consumption of the standard.

The purpose of the present invention is to provide an optical computer having high scalability and capable of reducing noise. This optical computer is characterized by including: an input layer which accepts an input signal as a computer; a reservoir layer which responds to a signal input from the input layer, and in which using a plurality of degenerate optical parametric oscillator (DOPO) pulses of a DOPO that are generated by an optical phase-sensitive amplifier (PSA) based on pump light as nodes, a connection relation between the nodes is determined by a measurement feedback method or a method equivalent to the measurement feedback method; and an output layer which outputs an output signal based on the respective responses of the plurality of DOPO pulses to the input signal from the reservoir layer.

An FMCW radar system in which the patterns of chirp pairs for master and slave radar devices are selected such that when one of the chirps in a chirp pair (A, B) from the master coincides in time with one of the chirps in a chirp pair (C, D) from the slave, the other chirps in those pairs do not coincide in time. This allows for background subtraction and for the slave to self-synchronise to the master by detecting an in-band tone in the difference between spectral responses obtained by mixing signals from the master and the slave at the times of the slave's chirps, and driving that tone, once detected, to a particular set point.

The present application relates to quantum key distribution, in particular to a satellite-ground continuous variable quantum key distribution system and method based on deep learning, a signal receiving and branching module receives multiplexed optical signals containing quantum signals and classical reference pulses from a satellite, and separates the quantum signals and classical reference pulses corresponding to a coherent detection and key generation module and an intensity measurement module; the intensity measurement module obtains a two-dimensional intensity distribution image of the classical reference pulses; a deep learning phase estimation module has a pre-trained deep learning model, takes the two-dimensional intensity distribution image as input, and outputs a two-dimensional phase correction value matrix with the same resolution as the input image; a phase modulation module performs real-time phase correction on the locally generated optical wavefront according to the two-dimensional phase correction value matrix to compensate for the phase distortion caused by atmospheric turbulence; the present application can effectively overcome the defect that it is difficult to accurately and real-time correct the phase distortion caused by atmospheric turbulence in the satellite-ground link.

The invention belongs to the field of power, and discloses a pulsation interference suppression method, device and equipment and a storage medium, and the method comprises the steps: extracting a timestamp of each pulse in a signal, and calculating a period consistency score corresponding to each pulse based on the extracted timestamp, the period consistency score is used for quantifying the matching degree of the pulse signal and the 12-pulse interference ideal period mode; dividing all pulses contained in the signal into two clusters according to a clustering algorithm and the period consistency score, removing a first cluster signal corresponding to 12 pulsation interference, and retaining a second cluster signal corresponding to the partial discharge signal; and arranging the second cluster signal on a time axis according to the extracted timestamp so as to reconstruct the time domain waveform of the denoised partial discharge signal.

The invention belongs to the technical field of computer vision, and discloses a robustness detection method for an aerial target of an unmanned aerial vehicle. A pulse neural network architecture is adopted, LIF neurons serve as basic calculation units, and invalid calculation is reduced through an event-driven sparse pulse distribution mechanism. In the feature extraction stage, a pulse adversarial interactive distillation module is introduced, L2 normalized energy constraint is applied to synaptic current, amplification and propagation of adversarial disturbance in the network are inhibited, and feature stability and detection robustness of the model under the conditions of noise interference and hostile attack are enhanced. The pulse channel characteristic refining module is based on a pulse perception-analog modulation mechanism, carries out adaptive modulation on synaptic current gain by using channel and space context information on the premise of maintaining pulse binary distribution characteristics, thereby highlighting target related characteristics and inhibiting complex background interference, and improving the target tracking precision. And the accuracy and reliability of unmanned aerial vehicle aerial image target detection are improved.

The pulse width compression PPM modulation method based on superconducting nanowire single-photon detection belongs to the technical field of signal processing. In view of the problems that the prior art cannot reduce the communication capacity, increase the system overhead and solve the ranging accuracy when reducing the communication error rate caused by random jitter. The pulse width in the PPM symbol is compressed at the sending end, the time fluctuation range of the superconducting nanowire single-photon detector response pulse is reduced, and the ranging error caused by time fluctuation is reduced. The time range of the random appearance of photons is compressed, the crosstalk of the superconducting nanowire single-photon detector response pulse to the adjacent time slot is reduced, the symbol decision error probability is reduced, and the communication reliability is improved. The signal light power is limited in a smaller time range, the instantaneous light power in the pulse time period is improved, the light power utilization efficiency is improved at the same transmission power, and a longer transmission distance is achieved. The present application is suitable for the field of communication and is used for improving the transmission distance and the ranging accuracy.

This application discloses an optical fiber detection device, an optical line terminal, and a method for identifying events, belonging to the field of optical communication technology. In the optical fiber detection device, a light source outputs an optical signal to a modulation module. An encoded pulse generation module outputs encoded pulses to the modulation module. The modulation module performs phase modulation and intensity modulation on optical signal segments within different time periods of the optical signal according to the encoded pulses, obtaining and outputting optical pulse signals to the optical fiber, causing the optical fiber to output a return signal. The light source also outputs an optical signal to a photodetector module. The photodetector module acquires and outputs an electrical signal to a processing module based on the optical signal and the return signal. The electrical signal includes electrical signal segments within different time periods corresponding to the optical signal segments. The processing module performs phase demodulation and intensity demodulation on the electrical signal segments within different time periods, obtaining an event signal used to identify events occurring in the optical fiber. This application can achieve accurate event identification, covering various event identification scenarios.

The invention relates to the technical field of signal transmission, and particularly discloses a wireless temperature and humidity sensing method and system for an industrial site, and the method comprises the steps: achieving the dynamic generation of a frequency hopping sequence driven by a single-frame snapshot through building a millisecond-level disturbance feature sensing channel; a frequency point stability weighting factor is constructed in combination with judgment reliability feedback, so that frequency point selection gives consideration to an instantaneous state and historical performance; a frequency point marking preamble extension section and cross-frame trend tracking are further introduced, so that the synchronization efficiency of a receiving end is improved, and sequence evolution has inherent continuity; finally, the context is solidified in the node dormancy awakening process, and the availability of the first frame under intermittent communication is guaranteed. Therefore, the destructive effect of broadband electromagnetic pulses on lead code capture and symbol synchronization is effectively suppressed, the first frame data packet loss rate and the CRC verification failure probability are remarkably reduced, and the transmission robustness and the time certainty of temperature and humidity sensing data in a strong interference industrial environment are improved.