129 results about "Frequency interval" patented technology

The invention discloses a line tower grounding resistance intelligent detection system based on a TMR sensor technology, relates to the technical field of resistance detection, and solves the problem that a resistance signal is easily interfered by other signals or is influenced by temperature. According to the invention, superposition verification is carried out on waveforms of a resistance signal and an interference signal through a signal feature verification end, matching analysis of an extreme value segment and a virtual waveform is combined, an abnormal wave band and an interference source are accurately locked, and a reliable basis is provided for subsequent filtering; based on the peak point spacing (wavelength) and the transmission rate of the interference waveform, the interference frequency is calculated and a frequency interval is generated, so that an operator is supported to pertinently set filtering parameters, and specific frequency interference is effectively filtered out; by comparing the change characteristic ratio of the amplitude sequence to the temperature sequence, the response rule of the resistance value of the resistor changing along with the temperature is monitored in real time; and when the characteristic ratio does not decrease progressively according to the expected trend, a temperature change abnormal signal is triggered quickly.

The invention provides a bearing health state evaluation method and system based on high-pass filtering. The method comprises the following steps: acquiring a real-time vibration acceleration signal of a rolling bearing by using data acquisition equipment; the method comprises the following steps: performing fast Fourier transform to obtain a complex sequence containing time amplitude spectrum and phase spectrum information, performing high-frequency band-pass filtering processing in different frequency intervals by using high-frequency band-pass filters of different grades, and further performing inverse Fourier transform on multiple filtered complex sequences to obtain time domain waveform data; and respectively calculating envelope spectrums, calculating peak factors based on a set observation frequency range, selecting a maximum value from the peak factors, and determining the health state of the rolling bearing based on the maximum value in combination with a preset evaluation analysis rule. By adopting the scheme, the problems that the prior art depends on a full-cycle data model and hyper-parameter optimization and is complicated in evaluation operation are solved, the fault frequency characteristics of the envelope spectrum after high-frequency band-pass filtering are quantitatively described through the dimensionless indexes, the calculation complexity is low, and the health state evaluation timeliness is good.

The invention provides a picoampere-level precision data acquisition method and system for a large model special for the corrosion industry, and relates to the technical field of corrosion, and the method comprises the steps: collecting electrochemical impedance spectroscopy data and corrosion environment parameters, obtaining a time-frequency domain characteristic pattern through continuous wavelet transform, determining corrosion characteristic indexes of a target frequency interval based on a self-adaptive segmentation algorithm, and obtaining a picoampere-level precision model. And constructing a causal reasoning decision tree, and updating the correlation strength of the corrosion knowledge graph by using a Bayesian network. The micro corrosion signal can be accurately captured, the corrosion mechanism evolution path can be predicted, and the corrosion monitoring precision and prediction accuracy can be improved.

A method performed by an electronic device is provided. The method includes obtaining a signal on a plurality of resource elements (REs), selecting, based on a time interval between symbols, reference REs from the plurality of REs, and a frequency interval between the symbols, performing, based on the reference REs, channel estimation, obtaining, based on a result of the channel estimation, a plurality of first weights corresponding to the reference REs, obtaining, based on the plurality of first weights, a plurality of second weights corresponding to other REs distinct from the reference REs from among the plurality of REs, and obtaining, based on the plurality of first weights and the plurality of second weights, information corresponding to the signal.

The invention relates to the technical field of mechanical fault diagnosis, in particular to a gearbox fault diagnosis method and system based on graph structure signal processing, and the method comprises the following steps: calling a vibration data sequence, detecting slope change and marking nodes, constructing edge connection and edge weight to obtain a graph structure, calculating a spectral coefficient to recognize a high-density frequency interval, and carrying out the fault diagnosis. Extracting a spectrum boundary, obtaining a gradient difference value of a spectrum edge graph, positioning a node sequence, extracting a peak value, judging a fault type, and outputting a gearbox fault diagnosis result. According to the method, graph structure reconstruction is carried out through a node slope hopping trend, an edge connection direction and a weight reference quantity are constructed through inter-node amplitudes and time intervals, the sensitivity of a graph structure to weak impact characteristics is enhanced, disturbance frequency band screening is carried out based on spectrum coefficient slope inversion frequency, and the node response degree is mapped through spectrum edge amplitude gradient differences. And establishing a node amplitude direction sequence, matching the node amplitude direction sequence with a standard direction template, judging a fault boundary and a graph structure breakpoint position, and realizing accurate identification of an early fault of the gearbox.

The invention provides a gas-liquid hole cavity characteristic frequency checking method, device and equipment, and the method comprises the steps: predicting a shear oscillation frequency interval of a gas-liquid hole cavity according to the prediction range of the environment flow velocity outside the gas-liquid hole cavity; predicting a structural inherent frequency interval, a liquid cavity modal frequency interval, a gas cavity modal frequency interval and a sloshing frequency interval of the gas-liquid hole cavity by referring to a prediction range of a gas volume ratio in the gas-liquid hole cavity; the piston frequency interval of the gas-liquid hole cavity is predicted by referring to the prediction range of the gas volume ratio in the gas-liquid hole cavity and the prediction range of the environment pressure outside the gas-liquid hole cavity; and checking whether each of the structure inherent frequency interval, the liquid cavity modal frequency interval, the air cavity modal frequency interval, the sloshing frequency interval and the piston frequency interval meets the safety margin requirement relative to the shear oscillation frequency interval or not. According to the invention, the characteristic frequency of the gas-liquid pore cavity is checked, so that the problem of pore cavity resonance of a ship under common working conditions is avoided.

The invention relates to the technical field of infrared flame detectors, and particularly discloses a flame recognition method based on multiband infrared signal fusion. The method comprises the steps that S1, a main detection channel periodically obtains real-time main infrared signals, and three reference channels periodically obtain real-time reference infrared signals; s2, when the peak value of the real-time main infrared signal is larger than a fire behavior threshold value, spectral analysis is conducted on the real-time main infrared signal, the peak value main frequency is extracted, and the peak value main frequency is the frequency corresponding to the frequency band with the maximum power spectral density; s3, judging whether the peak main frequency is in an early warning frequency interval or not, if so, performing spectral analysis on the three real-time reference infrared signals acquired by the three reference channels, and extracting the peak main frequency of each real-time reference infrared signal; and S4, judging whether the peak main frequency of at least one real-time reference infrared signal is in the early warning frequency interval or not, and if so, judging that a fire occurs. According to the method, flame identification of scenes such as kitchens using artificial fire sources can be realized.

The invention discloses a local damage identification method for a 32-meter simply-supported box girder, and relates to the technical field of bridge health monitoring. The method comprises the following steps: establishing a train-rail-bridge multi-body dynamic model, extracting strain response of each key section of a bridge as a data set for algorithm verification, dividing the key sections into different plate element components based on a plate element analysis method, converting train-induced strain signals into wavelet time-frequency diagrams through wavelet transform, and calculating the train-rail-bridge multi-body dynamic model. The sum of wavelet coefficients in the time-frequency graph is used as potential indexes of damage characteristics, an optimal frequency interval is selected by using a particle swarm algorithm, and the sum of the wavelet coefficients in the optimal frequency interval is not sensitive to passing vehicles under different baseline working conditions and is only sensitive to the damage size of the bridge; and the damage is identified and quantified by comparing whether the damage index exceeds the confidence boundary of the baseline working condition, so that the damage identification of different plate element components of the key section is realized.

According to the navigation and communication signal integration method provided by the invention, aiming at a conduction integration signal system application scene, the positioning precision and the anti-multipath capability are selected as evaluation indexes, and the navigation and communication integration signal precision and performance are analyzed and evaluated based on the performance theoretical limit. By combining the characteristics of a communication signal and a navigation signal, taking compatibility of the communication signal and the navigation signal as a starting point and adopting a burst multicarrier modulation mode, a navigation signal, namely a burst multicarrier signal (BCC signal) which can be broadcasted in a time slot of a communication channel and is compatible with multiple communication systems is constructed. Mi subcarriers are modulated on a single frequency point of a signal source i, the frequency interval between the subcarriers is fixed, the signal duration is adjustable, the subcarriers have burst characteristics, each subcarrier is modulated with the same pseudo code, meanwhile, the signal power of each subcarrier can be adjusted according to needs, and finally, the signals of the Mi subcarriers are combined together and transmitted out. Different pseudo codes are used for representing different signal sources.

The invention discloses a bearing fault identification method based on time sequence parameter statistics, and relates to the field of rotating equipment state monitoring and intelligent operation and maintenance, and the method comprises the steps: S1, collecting a vibration signal sample of a target bearing; s2, short-time Fourier transform: performing short-time Fourier transform on the vibration signal to obtain observation of the model; s3, calculating a forward probability and a backward probability; s4, counting times: calculating a bearing vibration signal of the duration ts of each impact cycle by using a dynamic time sequence # imgabs0 #, including a noise state and an impact state, namely # imgabs1 #, and counting the times Nc of the signal falling in a narrow frequency interval # imgabs4 # with the # imgabs2 # as the center and the width of # imgabs3 # within the duration ts; s5, calculating the posterior probability of the fault; and S6, automatic fault identification: automatically identifying the fault type of the bearing by selecting the highest fault posterior probability. And estimating the signal impact frequency through parameters in the dominant time hidden Markov model so as to perform fault identification on the bearing.

The invention discloses a frequency locking method, a phase-locked loop circuit and a transceiver. If the current frequency of the transceiver is located in the first frequency interval and the target frequency of the transceiver is located in the second frequency interval, switching the voltage-controlled oscillator of the transceiver to a second voltage-controlled oscillator, and outputting the target frequency through the second voltage-controlled oscillator, wherein the second frequency interval is the frequency interval of the first voltage-controlled oscillator and the second voltage-controlled oscillator. Therefore, due to the fact that the second frequency interval is the common frequency interval of the first voltage-controlled oscillator and the second voltage-controlled oscillator, when the current frequency of the transceiver and the target frequency of the transceiver are in different frequency intervals, switching of the voltage-controlled oscillators can be achieved through the common frequency interval. Therefore, the switching of the voltage-controlled oscillator is realized through the transceiver, and compared with the related technology, the switching of the voltage-controlled oscillator by using an external switching circuit is avoided, so that the frequency locking time efficiency is improved.

The present application relates to a kind of equipment vibration signal stationary data segmentation method, the vibration signal is collected and forms original vibration data, then short-time Fourier transform is carried out to obtain two-dimensional STFT matrix;The effective value of each column data of STFT matrix is calculated respectively to obtain the overall effective value trend of vibration signal;Frequency distribution vector is obtained based on STFT matrix, then the narrow-band frequency interval of the front amplitude ordering is extracted and the effective value trend is calculated;Overall effective value trend of vibration signal and the effective value trend corresponding to all narrow-band frequency intervals are traversed, and candidate split line is determined and marked;The time window position corresponding to candidate split line is mapped as the index value of original vibration data and is sorted;Adjacent index difference in index sequence after sorting is used to determine stationary data interception interval, then original vibration data is interval intercepted to intercept stationary vibration data.The present application can automatically and accurately segment stationary data segment from non-stationary vibration signal, and provide pre-data support for subsequent.

The present invention discloses a multi-stage primary frequency regulation method and device for an adjustable load. The method includes: obtaining the real-time frequency deviation value of the distribution network and the real-time operating load value of the charging and swapping equipment; determining the active power frequency regulation coefficient of the adjustable load according to the matching relationship between the real-time frequency deviation value and multiple frequency deviation ranges within the adjustable range of active power; obtaining the active power adjustment amount of the adjustable load according to the active power frequency regulation coefficient; determining the power value to be sent to the charging and swapping equipment according to the active power adjustment amount and the real-time operating load value; sending the power value to the control system of the charging and swapping equipment, so as to control the charging and swapping operation of the charging and swapping equipment according to the power value through the control system. The present invention solves the technical problem in the related art that the frequency regulation coefficient of the adjustable load in different frequency intervals is not set reasonably, resulting in poor stability of the power grid system.

This invention provides a far-infrared spectrometer and a far-infrared spectroscopic method that can accurately measure the absorption spectrum derived from a sample. [Solution] In a far-infrared spectrometer 100 comprising a detector 225 that detects light obtained by irradiating a sample with far-infrared light, and a signal processing unit 230 that calculates the absorption spectrum of the sample from the signal from the detector, a first spectrum detected by the detector is obtained when the wavelength of the far-infrared light is changed and irradiated into the measurement optical path with the sample not on the measurement optical path, and a second spectrum detected by the detector is obtained when the wavelength of the far-infrared light is changed and irradiated into the measurement optical path with the sample on the measurement optical path. Then, the difference between the spectral signals is calculated at frequency intervals determined according to the absorption peak due to water vapor, and the frequency of the absorption peak due to water vapor is selected according to a comparison of the difference with a threshold. Based on the selected frequency, data removal is performed on the spectral signal.

This disclosure describes techniques for achieving improved audio source separation. The complex spectrum X is divided into K frequency bands along a frequency axis by applying a frequency band division operation to the complex spectrum X. The complex spectrum is a time-frequency representation of the audio signal. Each of the K frequency bands is represented as Xk, k = 1,..., K. Each frequency band Xk comprises one or more frequency intervals. Each individual multi-layer perceptron is applied to each frequency band Xk to extract potential representations and obtain an output Hk0. A time domain transformer and a frequency domain transformer are applied to the stacked representation H0. The time domain transformer and the frequency domain transformer are repeatedly applied L times in an interleaved manner to obtain an HL output from the transformer block. The HL is input into a multi-band mask estimation sub-model. The complex ideal ratio mask is generated based on the output from the multiband mask estimation sub-model.

The invention relates to the technical field of bird repelling devices, in particular to a bird repelling device with a self-recognition function, and the system comprises a target extraction module, a maloperation screening module, a response pause module, an interference classification module and a recognition rule updating module. According to the method, the change combination of multi-channel signals is constructed, time alignment is realized, collaborative features of image brightness edges, audio dominant frequency intervals and infrared heat source distribution are extracted, inconsistent combination contents are identified and screened out, and behavior validity is judged according to interruption and abrupt change signals. Frequently appearing similar disturbances are classified and calibrated, an interference characteristic pattern is formed, edge judgment and a time parameter range are adjusted in combination with identification deviation, a response coordination mechanism among multiple channels is further improved, and the device has dynamic adaptive capacity aiming at different interference modes; the judgment accuracy in the target extraction process and the stability of the expelling response are enhanced, and continuous optimization of recognition and reaction logic in a complex scene is achieved.

The present invention uses reference signals to improve channel estimation accuracy. A terminal includes: a control circuit configured to set a first upper limit value of a frequency interval for configuring a first reference signal in a first bandwidth to be smaller than a second upper limit value of a frequency interval for configuring a second reference signal in a second bandwidth, the second bandwidth being wider than the first bandwidth; and a transmission circuit configured to transmit the first reference signal based on the first upper limit value.

Disclosed are techniques for wireless sensing. In an aspect, a sensing node receives, from a sensing entity, a configuration of one or more sensing reference signal resources for a sensing session, wherein the configuration indicates a staggering pattern of a plurality of staggers of the one or more sensing reference signal resources across a plurality of time intervals, a plurality of frequency intervals, or both, and wherein each of the plurality of staggers includes one or more repetitions of the one or more sensing reference signal resources, and transmits or receives the one or more sensing reference signal resources according to the staggering pattern.

The invention provides an electromagnetic interference matrix rapid calculation method and system based on a minimum frequency interval, electronic equipment and a storage medium. The method comprises the following steps: selecting a minimum frequency point from frequency points of first equipment as a first frequency point; selecting the frequency point with the minimum absolute value of the difference with the minimum frequency point from the frequency points of the second equipment as a second frequency point; when the first frequency point is the transmitting / receiving frequency and the second frequency point is the receiving / transmitting frequency, calculating a first electromagnetic interference result and a second electromagnetic interference result; if the two are both electromagnetic interference-free, the interference matrix element value is 0; otherwise, 1; traversing a frequency point set of the second equipment and the first frequency point to form a first combination set; and calculating interference matrix element values of all combinations in the first combination set according to the size relationship among the interference matrix element values, the first frequency point and the second frequency point. According to the scheme provided by the invention, the calculation times of the whole electromagnetic interference matrix can be reduced by finding the minimum frequency interval, so that the calculation efficiency is improved.

A control unit (24-1) stabilizes the frequency of a carrier-envelope offset signal of an optical frequency comb. A control unit (24-2) stabilizes the frequency of a beat signal produced by the interference between measured light from a measured light source (21) and the optical frequency comb. A detection unit (34) detects a frequency interval for each of four operations for which the frequency interval between modes of the optical frequency comb is different. An optical frequency calculation unit (30) calculates first through fourth approximate estimate values for a mode number for an initial operation on the basis of the frequency interval for each of the four operations and calculates the true mode number of the initial operation on the basis of the estimate values to calculate the frequency of the measured light.

The invention provides a technology capable of determining the state of a measured object with higher precision. A state determination device is provided with: a state index generation unit (24) for generating a state index for determining the state of an object to be measured on the basis of a spectral spectrum obtained from an electromagnetic wave transmitted through the object to be measured or an electromagnetic wave reflected by the object to be measured after the object to be measured is irradiated with an electromagnetic wave; and a state determination unit (26) that determines the state of the object to be measured on the basis of the state index of the object to be measured. A state index generation unit (24) executes: a process for generating a state index using spectral spectrum intensity in a frequency range that is not affected by a peak value; generating a state indicator of the object to be measured on the basis of applying a correction to the spectroscopic spectrum that reduces the effect of the peak; alternatively, a state indicator is generated from spectral spectral intensities at a plurality of frequencies extracted at frequency intervals less than the peak width.

This signal parameter estimation device is configured to comprise: a candidate value setting unit (1) that sets a plurality of candidate values for a chirp rate representing the ratio of chirp frequency width to chirp time width of a reception signal, which is an observation signal of a chirp signal that is the target for parameter estimation; and a candidate value selection unit (2) that multiplies the reception signal by opposite-phase components of each of the candidate values set by the candidate value setting unit (1), converts the reception signals after the opposite-phase component multiplication to signals of a frequency region, and selects, from among the plurality of candidate values, the candidate value for which an electrical power peak value of the signal of the frequency region is relatively larger. Moreover, the signal parameter estimation device comprises: a frequency width estimation unit (3) that multiplies the reception signal, which is the observation signal, by the opposite-phase component of the candidate value selected by the candidate value selection unit (2), converts the reception signal after the opposite phase component multiplication to a signal of the frequency region, and, on the basis of frequency intervals included in the post-conversion signal of the frequency region which correspond to a plurality of electrical power peak values, estimates the chirp frequency width; and a time width estimation unit (4) that estimates the chirp time width from the chirp frequency width estimated by the frequency width estimation unit (3) and the candidate value selected by the candidate value selection unit (2).

Disclosed are a synchronization signal block processing method, apparatus and device, belonging to the field of communications, the synchronization signal block processing method of the embodiment of the present application comprising: a first device detecting a first synchronization signal block (SSB) portion at a first synchronization grid, the first synchronization grid being related to the first SSB portion, and the first equipment processes the second SSB part according to the first SSB part, and the first SSB part and the second SSB part form an SSB. Therefore, the frequency interval of the synchronization grid can be increased, the sending period of the SSB can be increased, and the complexity and time delay of searching on the frequency domain by the first equipment are reduced, so that network energy saving is realized.

The invention provides a matching iteration method for a sound field model, and aims to remarkably improve the efficiency and accuracy of simulating and calculating a sound field characteristic rule through systematic model comparison and evaluation. The core thought of the method is that for the complex ocean sound field simulation problem, the limitation of a single model is broken through, and the optimal frequency interval suitable for the ray model with high calculation efficiency is defined by introducing a multi-model comparison verification framework. In the specific implementation process, a ray model with the advantage of calculation speed and a reference model such as a parabolic equation model and a coupling normal wave method which are recognized to be high in precision in a low-frequency band range are subjected to cooperative comparison and iterative verification, and a certain sound source depth, a certain receiving depth and a certain calculation distance are set. Obtaining a comparison result of a parabolic equation model, a coupling normal wave method and a ray model, and comprehensively considering two aspects of calculation speed and calculation precision to obtain the optimal sound source frequency of the ray model for iterative selection.

The invention provides an FI-DAC system amplitude-frequency error correction method based on FSVR-DQN, belongs to the technical field of time domain testing, solves the problems of insufficient fitting precision, complex fuzzy weight design, over-fitting and insufficient adaptability to complex signal processing in amplitude-frequency error correction, and comprises the following steps: within a set frequency range, generating single-tone signals at fixed frequency intervals; generating a target waveform table for each frequency point through digital domain preprocessing, and carrying out IFFT (Inverse Fast Fourier Transform) on an input frequency domain signal to obtain a time domain signal; inputting the time sequence signal into an FI-DAC system, and carrying out FFT conversion by using a DQN-SVR algorithm to obtain a frequency domain analog signal; parameters of a spectrum analyzer are set, the spectrum analyzer is used for collecting the frequency domain analog signals, and the amplitude-frequency characteristics of the low-frequency sub-circuit and the high-frequency sub-circuit are tested respectively; converting the collected signal unit from dBm into a normalized amplitude value, comparing the collected signals according to the amplitude-frequency characteristic of the ideal frequency division signal, extracting an amplitude-frequency error, and completing the amplitude-frequency error correction of the FI-DAC system.

This communication device including a plurality of radio frequency (RF) processing circuits for an antenna array is configured to: transmit first calibration signals having a first subcarrier spacing (SCS) through a plurality of RF transmission paths of the plurality of RF processing circuits; obtain the first calibration signals through a plurality of RF reception paths of the plurality of RF processing circuits; identify a bandwidth of a frequency domain having an amplitude variation of the first calibration signals less than a first threshold value and a phase variation of the first calibration signals less than a second threshold value, on the basis of amplitude information and phase information of the first calibration signals; and perform calibration by transmitting second calibration signals on orthogonal frequency division multiplexing (OFDM) symbols according to a second SCS corresponding to the bandwidth of the frequency domain from among a plurality of SCSs, wherein the second SCS indicates a frequency interval of each of the OFDM symbols, and a time interval of each of the OFDM symbols is inversely proportional to the second SCS.

The application provides a driving fault feedback method and a feedback system. The method first determines frequency segments corresponding to different fault types; then feedbacks a detected fault level signal for logical processing; evaluates fault priority, changes the fault level signal to a low level according to the priority, changes the low level to a high level after a plurality of counting points, takes the high level as an initial value, and continuously outputs frequency signals corresponding to different fault types; finally collects the frequency signals, counts values between two rising edges, and determines a fault type according to the obtained counting values and the fault type frequency segments. The method uses a single channel to feedback fault information, transfers fault information according to feedback pulse frequency, and different frequency bands represent different faults, so that different fault types can be distinguished. By setting a wide fault frequency band and a frequency interval zone, the influence of interference can be greatly reduced.

The present invention relates to a method and device for removing ultrasonic radar co-frequency interference based on grouped frequency conversion. The method includes: determining a plurality of frequency intervals according to multiple operating frequencies of a target ultrasonic radar; dividing the plurality of frequency intervals into a plurality of frequency groups based on the error of the target ultrasonic radar, and determining the allocation weight of each frequency interval according to the cumulative occurrence probability of one or more frequency intervals within each frequency group; dynamically adjusting the allocation weight of each grouped interval of its own ultrasonic radar within a preset period based on the real-time operating frequency of the target ultrasonic radar, and controlling the occurrence time of ultrasonic waves with random frequencies within each grouped interval. The present invention dynamically and randomly adjusts the operating frequency of the radar through the frequency interval and the operating frequency, thereby improving the co-frequency anti-interference ability on the premise of ensuring the radar detection accuracy.

The present invention discloses a sea clutter suppression method based on time-frequency spectrum energy distribution and singular value decomposition, comprising: performing STFT on the echo signal to obtain a time-frequency spectrum, calculating the instantaneous energy of each time-frequency point; equally dividing the frequency interval of the time-frequency spectrum, calculating the energy proportion of the frequency subinterval to the total frequency interval at each time point; for each time point, selecting the amplitude mean of the frequency subinterval with the largest energy proportion as the filtering threshold, and filtering the time-frequency point at that time point using the threshold; performing an inverse short-time Fourier transform on the filtered time-frequency spectrum, and performing singular value decomposition on the obtained echo signal matrix; selecting a singular value set representing the clutter from the singular value decomposition result, and constructing a signal subspace matrix based on the singular value set; projecting the echo signal matrix onto the signal subspace matrix to obtain the echo signal after clutter suppression. The present invention achieves effective sea clutter suppression in a strong sea clutter environment, improving the radar's detection capability for weak targets.

The application provides a time domain detection and Doppler frequency offset estimation method and device of a data link signal, relates to the technical field of signal processing, and comprises the following steps: in the process of performing a sliding window detection on an entire real signal data, for each window, performing coarse scanning on a target frequency interval to determine a first frequency point with maximum integral power, performing fine scanning on the frequency corresponding to the first frequency point to determine a second frequency point with maximum integral power, taking the frequency corresponding to the second frequency point as a target peak frequency of the window, and taking the integral power at the second frequency point as a target integral power of the window; determining a current adjacent frequency reference power based on the integral power at the adjacent frequency points of the second frequency point; determining whether the window hits based on the target integral power and the current adjacent frequency reference power; determining a best hit window from a plurality of hit windows and performing frequency offset fine estimation to obtain a final frequency offset. The application can realize low-complexity fast frequency offset estimation and reduce the calculation amount and online time delay.