112 results about "Impulse detection" patented technology

The invention discloses a full-automatic filling and tail sealing method and system based on image recognition analysis, and relates to the technical field of image analysis, and the method comprises the following steps: extracting fluid dynamic control parameters and bubble group dynamic characteristic parameters; according to fluid dynamic control parameters, the annular microelectrode array is controlled to generate a directional electric field, and the liquid flowing state is regulated and controlled; ultrasonic action parameters are determined according to the bubble group dynamic characteristic parameters, and a frequency-adjustable ultrasonic generator is controlled to output ultrasonic modulation pulses; detecting the temperature distribution of the sealing area of the container, and applying differential heat sealing parameters to different temperature areas; and establishing a multi-layer perception neural network optimization controller, and optimizing a control parameter combination by taking the quality index of the filling and end-capping process as an optimization target. The filling method combining image recognition and electric field regulation and control is adopted, accurate control over the liquid flowing state is achieved, the problem that in the traditional filling process, liquid drawing and flow cutoff are not accurate is solved, and the filling precision and efficiency are improved.

The invention discloses a radio frequency voltage sensor and a plasma source system. The radio frequency voltage sensor comprises a signal acquisition module and a signal processing circuit. The signal processing circuit comprises a rectangular wave pulse detection module, a signal conversion module, a peak holding module and an operation output module; the input end of the rectangular wave pulse detection module receives a pulse synchronization signal; the signal conversion module is connected with the output end of the signal acquisition module; the first input end of the peak holding module is connected with the output end of the signal conversion module, and the second input end of the peak holding module is connected with the output end of the rectangular wave pulse detection module; and the operation output module is connected with the output end of the peak holding module. According to the radio frequency voltage sensor and the plasma source system provided by the invention, the peak voltage corresponding to the single-stage pulse can be accurately detected, the peak voltage corresponding to the multi-stage pulse can also be stably detected, the output is prevented from jumping to zero during the pulse closing period, and the stability and practicability of measurement are improved.

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 a high-voltage positive and negative pulse detection circuit, which relates to the technical field of signal conditioning, and is characterized in that a voltage division circuit is responsible for attenuating input pulse signals, a switching diode is responsible for rectification and inputting positive and negative pulse signals into corresponding conditioning circuits respectively, and a charging circuit is responsible for maintaining pulse width characteristics of the signals; and the steepness of the signal edge is ensured by the comparator, and FPGA identification can be realized. Uncertain high-voltage pulse signals can be processed, and application scenes are diversified. The edge characteristic, pulse width and pulse direction of the pulse signal can be identified, and the signal processing capability is prominent.

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.

The invention discloses a model prediction control system and method for minimizing loss of a magnetic flux adjustable motor. The system comprises a magnetic flux adjustable motor module, a three-phase inverter module, a coordinate change module, an active current calculation module, a current prediction module, a value function minimization module, a positive and negative pulse detection module, a double-bridge arm inverter circuit module and a rotating speed loop regulator module. The method comprises the following steps: constructing a magnetic flux adjustable motor mathematical model considering iron loss; obtaining a current prediction model considering iron loss based on the magnetic flux adjustable motor loss model; from the perspective of d-axis and q-axis active current, constructing a current constraint relation under the condition of loss minimization; and constructing a value function. According to the invention, the efficiency optimization of the system is improved; the problems of large calculation burden, increased solving error and the like caused by high-order equation solving are avoided; the efficiency optimization of the whole motor driving system is realized; the method is high in response speed, strong in anti-interference capability, small in torque ripple and strong in current harmonic suppression.

The present application provides a pulse detection method for radar signals, which relates to the field of digital signal technology. The method includes: obtaining a digital time-domain signal corresponding to the radar signal, calculating the amplitude of the digital time-domain signal to obtain the signal amplitudes of each sampling point on the digital time-domain signal, performing a delay process on the signal amplitudes of each sampling point for a preset number of clock cycles, using the signal amplitudes of each sampling point after the delay to perform envelope detection on the digital time-domain signal to obtain the envelope signal of the digital time-domain signal, performing time-domain alignment on the digital time-domain signal and the envelope signal according to a preset number of clock cycles, finally calculating the pulse width of the digital time-domain signal based on the envelope signal after time-domain alignment to obtain the signal pulse width of the digital time-domain signal, calculating the signal amplitude of the digital time-domain signal according to the envelope signal after time-domain alignment and the signal amplitudes of each sampling point, and performing envelope detection on the digital time-domain signal, which can improve the detection accuracy of the signal pulse width and the signal amplitude.

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.

An ADC (50) is disclosed. It has two VTCs (110a, 110b) for converting a first and a second input voltage, respectively, to pulses with delays corresponding to the magnitudes of these voltages. It further has a pulse-detector circuit (120) coupled to outputs (114a, 114b) of the two VTCs (110a, 110b). The pulse-detector circuit (120) is configured to make a transition from a first logic state (‘0’) to a second logic state (‘F) at a first output (124a) of the pulse-detector circuit (120) in response to the start of the pulse from one of the VTCs (110a) and to make a transition from the first logic state (‘0’) to the second logic state (‘F) at a second output (124b) of the pulse-detector circuit (120) in response to the start of the pulse from the other VTC. Furthermore, the pulse-detector circuit (120) is configured to reset both the first and the second output (124a, 124b) to the first logic state (‘0’) in response to both the first output (124a) and the second output (124b) of the pulse-detector circuit (120) being set in the second logic state (‘1’). The ADC (50) further has a first TDC (130a) coupled to the first output (124a) of the pulse-detector circuit (120) and a second TDC (130b) coupled to the second output (124b) of the pulse-detector circuit (120).

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.

An adaptive method for extracting the initial phase point of the shaft center orbit of a rotating machine. First, the vibration displacement signal and the coaxial key phase signal of the measurement section are obtained through discrete sampling. The maximum value, minimum value, and mean value of the key phase signal are calculated, and the pulse type is automatically judged using the distance relationship among the three. Then, a first-order backward difference operation is performed on the key phase signal to construct a new sequence, and all local maximum points are searched. The pulse detection threshold and the pulse trigger position are adaptively determined according to the characteristics of the key phase signal itself. Finally, using the vibration waveform of the measurement section and the pulse trigger position index, the coordinates of the initial phase point of the shaft center orbit are obtained, and the corresponding shaft center orbit diagram is drawn and the position of the initial phase point is marked. The present invention realizes the adaptive extraction of the initial phase point of the shaft center orbit under different pulse trigger directions, pulse amplitudes, and pulse widths, provides key information for the quantitative evaluation of the stability and complexity of the shaft center orbit, and helps to achieve the accurate diagnosis of rotating equipment faults.

The present application discloses a pulse detection circuit and a pulse detection method, which can measure higher-speed input pulses while reducing the power consumption of a microcontroller. The pulse detection circuit includes: an input module, an automatic trigger measurement module, and a data latch module. The input end of the input module receives an external input pulse, and the pulse signal is respectively transmitted to the clock pulse end of the automatic trigger detection module and the input end of the data latch module through the output end of the input module. When the pulse signal changes from a first level to a second level, the automatic trigger detection module is enabled, and the output end of the automatic trigger detection module sends a latch signal to the enable end of the data latch module, so that the data latch module latches the pulse signal according to the latch signal.

The present invention relates to the field of detection management, and specifically to a data transmission system and method for a detector based on a cloud platform, including: a slide processing module, a detector module, a cloud communication module, a signal filtering module, and an information management module. The slide processing module is used to extract the supernatant of the sample and make a detection slide. The detector module is used to construct a detection channel and generate a detection signal. The cloud communication module is used to synchronize the cloud data link in real time. The signal filtering module is used to filter out clutter and perform sample clustering. The information management module is used to determine the concentration of the substance to be detected and verify the sample number. The present invention can avoid deviations in detection results caused by uneven or contaminated samples, reduce sample confusion and detection errors, screen out optical deviations in the pulse detection process, improve the detection accuracy, shorten the time required for local data operation, improve the detection efficiency, and save the detection time.

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.

To provide a photodetection device capable of improving sensitivity characteristics under an environment of high illuminance.A photodetection device according to the present disclosure includes: a plurality of pixels that counts the number of photons included in incident light; a memory that stores a correction value used to correct a count value by each of the plurality of pixels; and a correction circuit that corrects the count value by using the correction value. In the photodetection device, the plurality of pixels includes: an optical response unit that reacts to the photons; a pulse detection unit that includes an input transistor to which a result of reaction of the optical response unit is input and detects a pulse indicating the result of reaction; a counter that measures the count value on the basis of the pulse; a dynamic separation switch unit that dynamically separates electrical connection between the optical response unit and the pulse detection unit; and an input fixing unit that temporarily fixes an input voltage of the pulse detection unit to a potential at which the input transistor is turned on.

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 brain measurement apparatus includes: a static magnetic field forming unit for forming a static magnetic field in a measurement area; a gradient magnetic field coil for forming a gradient magnetic field in the measurement area; a transmission coil for transmitting a transmission pulse toward a subject in the measurement area; a detection coil for detecting a nuclear magnetic resonance signal generated in the subject by transmission of the transmission pulse; and a generator for generating an MR image based on the nuclear magnetic resonance signal detected by the detection coil.

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.

The application discloses a kind of wafer defect detection device and method, comprising: detection module, processing module and image reconstruction module;Detection module includes: laser emission unit, transmission lens group, photoacoustic conversion unit and sound-electricity conversion unit;Laser emission unit is launched to the surface of the wafer to be measured with pulse detection laser, pulse detection laser generates optical signal with defect characteristic information after passing through wafer to be measured, photoacoustic conversion unit converts optical signal into acoustic signal;Sound-electricity conversion unit converts acoustic signal into electrical signal;Processing module extracts the defect characteristic information of wafer to be measured according to electrical signal;Image reconstruction module determines the defect of wafer to be measured according to defect characteristic information.The defect detection device provided in the application converts the optical signal scattered after wafer to be measured into electrical signal by the cooperation of photoacoustic conversion unit and sound-electricity conversion unit, so as to analyze and process the defect of wafer to be measured, so as to efficiently and accurately detect the defect on the surface of wafer to be measured.

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.

In one embodiment, a lidar system includes a light source configured to emit (i) local-oscillator light and (ii) pulses of light. Additionally, the light source is configured to impart a spectral signature of one or more different spectral signatures to each of the emitted pulses of light, where the emitted pulses of light include an emitted pulse of light having a particular spectral signature of the one or more different spectral signatures. The lidar system also includes a receiver configured to detect the local-oscillator light and a received pulse of light, the received pulse of light including a portion of the emitted pulse of light scattered by a target located a distance from the lidar system. The receiver includes a detector configured to produce a photocurrent signal corresponding to the local-oscillator light and the received pulse of light. The receiver also includes a pulse-detection circuit and a frequency-detection circuit.

The invention discloses a data transmission method and system based on signal modulation. The method comprises the following steps: generating a carrier signal; converting the to-be-transmitted data into a binary data format, and sequentially obtaining a digit from the to-be-transmitted data as a current digit according to the Baud rate of the CAN bus; if the current digit is a preset digit, simultaneously modulating an original high level signal and an original low level signal output by the sending node according to the carrier signal, and sending the modulated high level signal and low level signal to a receiving node through a CAN bus; and performing pulse detection on the high level signal or the low level signal received by the receiving node according to the baud rate of the CAN bus, and sequentially determining each digit in the data to be transmitted according to the frequency of the detected pulse. According to the invention, the transmission of the verification data on the CAN bus can be realized under the conditions that the bandwidth of the bus message is not occupied and the bus delay is not increased.

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.

Techniques are provided for non-linear filtering of a signal for improved pulse detection and pulse width discrimination. A system implementing the techniques according to an embodiment includes a first linear filter configured to filter an in-phase component of a received signal to a downsample bandwidth and a second linear filter configured to filter a quadrature phase component of the received signal to the downsample bandwidth. The system also includes a magnitude calculation circuit coupled to outputs of the first linear filter and the second linear filter and configured to generate a magnitude signal based on the filtered in-phase component and the filtered quadrature phase component of the received signal. The system further includes a median filter processor coupled to an output of the magnitude calculation circuit and configured to apply a median filter to the magnitude signal to generate a filtered signal having reduced noise while maintaining sharp edge transitions.

The object of the present invention is to provide a method for suppressing impulse noise in underwater acoustic OFDM communication in polar regions. By using OFDM pilot subcarriers, channel estimation and equalization are performed on the received passband signal based on the least squares criterion, and then the background noise is estimated. At the same time, only this estimated value is used to obtain the position information of impulse noise, and the impulse noise is detected and marked using the 3σ principle based on the generalized signal-to-noise ratio. After suppressing the impulse noise using an adaptive median filter, the noise estimated value is added to the noise-free received signal to obtain the received passband signal after impulse noise suppression processing. Then, subsequent channel estimation, channel equalization, and decision-making processes are carried out, and finally the source information is decoded. The present invention effectively avoids the interference of OFDM signals on the impulse detection process; the 3σ impulse noise detection method based on the generalized signal-to-noise ratio realizes a detection threshold that can be adaptively adjusted according to impulse noise. The impulse noise suppression step reduces the computational complexity of the algorithm.