58 results about "Asynchronous sampling" patented technology

The invention discloses a temperature measurement system and method based on a direction-adjusting excitation control Wheatstone bridge, and belongs to the technical field of sensor signal precision measurement. According to the invention, the problem of temperature measurement deviation caused by non-linear and asynchronous sampling error output by a traditional temperature measurement circuit based on a Wheatstone bridge and offset voltage output by a differential amplification circuit is solved. According to the invention, a bridge arm resistance value optimization strategy is used for suppressing output nonlinearity, the complexity of a temperature measurement value calculation model is reduced, and the precision temperature measurement reliability is improved; based on an analog-to-digital converter synchronous sampling and direction-adjusting excitation control method, asynchronous sampling errors caused by asynchronous signal sampling are eliminated, and measurement deviation caused by inherent output offset voltage of a differential amplifier is counteracted. The output nonlinearity of the temperature measurement circuit can be well inhibited, and asynchronous sampling errors and measurement deviations are eliminated. The method can be applied to the field of temperature measurement based on the Wheatstone bridge.

A method of operating an image sensor having a pixel array is provided. The method can include outputting a row control signal to a row of pixels in the pixel array at a first time, sampling a first output signal from a first pixel in the row of pixels at a second time, and sampling a second output signal from a second pixel in the row of pixels at a third time after the second time. The row control signal can arrive at the first pixel in the row of pixels a first row propagation delay after the first time. The row control signal can arrive at the second pixel in the row of pixels a second row propagation delay after the first time. The difference between the second and third times may be equal to the difference between the first and second row propagation delays.

The invention relates to the field of intelligent connected automobile systems, in particular to an asynchronous sampling control intelligent connected automobile system mean square consensus method under privacy protection. Comprising the following steps: introducing a time conversion method and a shared sampling period to process asynchronous sampling interaction of heterogeneous intelligent networked automobile communication; acquiring a sampling distributed controller with time-varying noise and an algorithm for the intermittent interactive heterogeneous intelligent connected automobile system; a new hybrid closed-loop system is constructed, and a Lyapunov function is constructed for the closed-loop system to obtain conditions for realizing mean square output consensus of the heterogeneous intelligent connected automobile system; parameters in the algorithm are determined, and the convergence precision, the convergence speed and the differential privacy budget of the heterogeneous intelligent network connection automobile system are quantified. According to the method, the privacy protection mean square output consensus problem of the heterogeneous intelligent networked automobile system under the condition that asynchronous sampling interaction and transmission have bounded time-varying delay is solved.

The invention belongs to the technical field of communication, and discloses an elastic asynchronous sampling control method for resisting denial of service attack in a networked system, which adopts elastic asynchronous sampling data control to realize quick recovery and stability of the networked system after DoS attack and improvement of robustness. And during normal operation of the system, continuously monitoring and recording state data of the networked system based on an asynchronous sampling strategy. And after the DoS attack is finished, a preset asynchronous sampling mechanism is triggered immediately, state information is updated quickly, and a control instruction is calculated again, so that the dynamic response and performance of the networked system are recovered. According to the method, an asynchronous sampling mechanism, discontinuous interval dependency functional analysis and a switching stability theory method are organically combined, the rapid communication recovery capability of a networked system after the networked system is attacked by DoS is cooperatively realized, the stability and robustness of the system are remarkably enhanced, and the method is particularly suitable for application scenes with high security requirements.

A Global Navigation Satellite System (GNSS) receiver for processing GNSS satellite signals use a quasi-asynchronous sampling frequency grid to process the received signals. The GNSS receiver includes a plurality of RF paths configured to receive Global Navigation Satellite System (GNSS) signals from an antenna and transmit the GNSS signals in a frequency range for digitizing the GNSS signals. A phase-locked loop is configured to generate a clock signal and a plurality of clock dividers are configured to receive the clock signal and divide the clock signal. Each of a plurality of navigation systems receive a clock signal from one of the plurality of clock dividers.

The invention discloses a numerical simulation method for a heat-fluid-solid multi-field coupling response characteristic, which relates to the technical field of mechanics and engineering simulation and comprises the following steps of: constructing an asynchronous sampling array, performing joint time-frequency acquisition on a periodic pressure pulsation signal of a fluid and a dynamic response signal of a solid structure, extracting a coupling phase fingerprint baseline, and calculating the coupling phase fingerprint baseline. As a unified reference for energy analysis; and performing coherent decomposition based on the coupling phase fingerprint baseline, calculating a phase-locked energy index, identifying an instantaneous resonance window in a dynamic evolution process, and determining a dangerous frequency band and an interface fragile area. According to the method, unified reference of heat-fluid-solid response data is realized by constructing a coupling phase fingerprint baseline; predicting a crack initiation threshold in combination with anti-fact playback and a risk cone; extracting a minimum disturbance set to construct an energy dissipation channel; time reversal micropulses are applied to cooperate with phonon band gaps and shadows for energy storage, phase lock release and vibration extinguishing control are completed, and closed-loop regulation and control of structure safety are achieved.

The present invention provides a pseudo-synchronous sampling method for asynchronous ADCs based on DFT sampling point offset, which is implemented based on a discrete Fourier algorithm and includes the following steps: step (1): offsetting the DFT sampling point of the phase difference caused by the time delay of channel switching and conversion of the asynchronous ADC, and obtaining the DFT coefficients of any channel in the same ADC after the DFT sampling point offset; step (2): offsetting the DFT sampling point of the phase difference caused by asynchronous sampling between different ADC chips; superimposing the sampling point offsets caused by the phase difference between AD channels and between different ADCs, and obtaining the DFT coefficients of any AD channel of a relay protection device after the DFT sampling point offset. The present invention compensates for the sampling point offset of the asynchronous sampling signal by utilizing the spectrum characteristics of DFT, thereby realizing pseudo-synchronous sampling and improving the signal reconstruction accuracy and spectrum analysis accuracy.

This invention discloses a distributed optimization state estimation method for asynchronous sampling rates under stochastic topology. The method is as follows: 1. Establish an asynchronous sampling rate time-varying nonlinear dynamic model with different system state update rates and measurement sampling rates; 2. Transform the dynamic model into a single-rate time-varying nonlinear dynamic model; 3. Design a state estimator under stochastic topology; 4. Calculate the state estimator at q... k The gain matrix K of the estimator at time step i (q k ) and G i (q k ); V. K i (q k ) and G i (q k Substituting this into the estimator, we obtain q. k+1 VI. Calculate the upper bound of the one-step prediction error covariance matrix; VII. [The text abruptly ends here, likely due to an incomplete sentence or missing information.] i (q k ) and G i (q k Substitute the upper bound of the one-step prediction error covariance matrix into the formula to calculate q. k+1 The minimum upper bound of the one-step prediction error covariance matrix at time step q; let q k =q k+1 Execute step three until q is satisfied. k+1 =K. This invention solves the problem that existing state estimation methods cannot simultaneously handle distributed optimization state estimation problems with stochastic nonlinearity and asynchronous sampling rates under stochastic topologies.

The invention provides a piezoelectric ceramic-based double-optical-comb-cavity modulated gas measurement system and method, a double-optical-comb output module is utilized to generate a detection optical comb and a reference optical comb which are coherent, the detection optical comb enters a resonant cavity to interact with gas to be measured, and the reference optical comb directly reaches a data acquisition and analysis module; the piezoelectric ceramic modulation module dynamically adjusts the length of the resonant cavity by applying a periodic voltage signal; and the data acquisition and analysis module demodulates spectral data of the to-be-detected gas through an asynchronous sampling technology based on double optical comb interference signals of the reference optical comb and the detection optical comb. According to the dual-optical-comb-cavity modulated gas measurement system based on the piezoelectric ceramics, the piezoelectric ceramic modulation module is used for dynamically adjusting the length of the resonant cavity according to the detection optical comb and the reference optical comb, dynamic modulation and transient coupling optimization of the cavity length are achieved, and the problems that in the prior art, the dispersion effect of gas can affect optical signal propagation, and the measurement precision is poor are solved. And non-linear modulation occurs in the ring-down process, so that the measurement precision is influenced.

This invention discloses a method and system for resampling time-domain data of electromechanical-electromagnetic simulations while preserving time-frequency domain features. It includes: constructing electromechanical and electromagnetic transient time-series trajectory samples of a new energy power grid system; processing the trajectory samples separately using an improved Proni method to obtain frequency domain response features; reconstructing the electromechanical and electromagnetic transient time-series trajectories separately using linear interpolation and adaptive resampling techniques based on the frequency domain response features; and fusing the time-domain and frequency-domain features in the reconstructed time-series trajectory data to form a comprehensive feature vector, thereby obtaining electromechanical-electromagnetic simulation time-domain data that preserves time-frequency domain features. This invention solves the asynchronous sampling problem of electromechanical-electromagnetic time-domain simulation data and can be used to support the feature analysis of inconsistent data at different time scales in electromechanical and electromagnetic systems. It has broad application prospects and significant practical implications in fields such as scheduling and control of new energy power grids.

The invention discloses a multi-rate asynchronous sampling control method for a driving motor of a deep-sea robot. The method comprises the following steps: configuring basic electrical and mechanical parameters of a motor system with a plurality of independent partitions; constructing a parameter matrix and realizing control signal decoupling through structural decomposition; setting a basic sampling period and configuring a differential sampling period which is integral multiple of the basic sampling period for each partition to complete control signal discretization; constructing a selection matrix to determine a control signal sequence under multi-rate sampling; discretizing the parameter matrix and solving a feedback control gain matrix; constructing an autonomous system to describe a rotating speed tracking signal and solving a feed-forward control gain matrix; finally, discrete control voltage is calculated according to a multi-rate period based on the armature current detected in real time, and the motor is driven. Through a multi-rate asynchronous sampling strategy, dynamic characteristics and control requirements of different partitions are effectively matched, and the motor control efficiency and response performance in a deep sea environment are remarkably improved.

The invention provides a clock synchronization method and circuit for different roll-off signals. The method comprises the following steps: determining whether an asynchronous sampling sequence signal is a large roll-off signal or a small roll-off signal; if the asynchronous sampling sequence signal is a large roll-off signal, performing clock synchronization on the large roll-off signal by a first clock synchronization loop, and outputting a first synchronization sequence signal; and if the asynchronous sampling sequence signal is a small roll-off signal, performing clock synchronization on the small roll-off signal by a second clock synchronization loop, and outputting a second synchronization sequence signal. The method can be suitable for optical transmission systems with different roll-off factors, and meanwhile, the clock recovery requirements of signals with different rates and different roll-off factors are met, so that a receiving end can sample at the optimal sampling moment, and then information sent by a sending end is accurately recovered.

Aspects of the disclosure relate to asynchronous sampling rate conversion of digital data. A sampling rate conversion module may use, for sampling rate conversion, a bank of subfilters corresponding to a polyphase interpolator. The specific subfilters and / or filter coefficients to be used for generation of output samples may be based on a rate control value. The rate control value may be determined based on a sampling rate used for input samples of the sampling rate converter and a read-out rate associated with samples, generated by the sampling rate converter, stored in an output buffer. A phase-locked loop (PLL) or other control loop may be used to maintain the rate control value at an appropriate level to negate the effects of temperature variations, noise, or any other system variations on the sampling rates.

The invention discloses a temperature measurement system and a temperature measurement method based on an optimized single-arm bridge and interactive digital filtering, and belongs to the technical field of sensor signal precision measurement. According to the invention, the problems of low accuracy, poor real-time performance and high complexity of a traditional temperature measurement method based on a single-arm bridge are solved. According to the invention, through the optimization design of the resistance value of the resistor on the bridge arm of the single-arm bridge, the output nonlinearity can be effectively inhibited and the sensitivity can be improved; an AD7608 analog-to-digital converter is adopted to synchronously acquire the output of a constant voltage source and the voltage difference between a first measurement bridge arm reference point and a second measurement bridge arm reference point so as to eliminate an asynchronous sampling error caused by asynchronous signal sampling; the accidental error of the sampling value, the random error of the sampling value and the inherent deviation of the temperature measurement value are effectively inhibited through filtering processing, and the error introduction caused by a complex operation process is avoided through directly solving the high-precision temperature measurement value. The method can be applied to the field of temperature measurement.

The invention discloses an anti-attack distributed estimation method under a dynamic memory triggering and asynchronous sampling mechanism, and belongs to the technical field of signal processing and control engineering. The method comprises the following steps: establishing a random nonlinear system dynamic model based on an asynchronous sampling mechanism and converting the random nonlinear system dynamic model into a synchronous sampling random nonlinear system dynamic model; designing an anti-attack distributed estimator; calculating an upper bound of an estimation error covariance; deriving a gain matrix; and substituting the gain matrix into an estimator to obtain a distributed estimator at a corresponding moment, and judging whether the total duration is reached or not. According to the method, effective estimation of the random nonlinear system state is realized, the technical bottleneck of a traditional method in the aspects of triggering mechanism, asynchronous sampling and attack behavior joint modeling is effectively solved, the real-time processing capability and the system robustness of state estimation are improved, and the stability and the anti-interference performance of estimation precision in a complex engineering scene are ensured.

This invention discloses a multi-oscillator true random number generator based on independent auxiliary TRNG control. It is characterized by comprising a main TRNG module and an auxiliary TRNG module. The main TRNG module provides a true random number sequence TR via an internal bus. The main TRNG module includes a random signal generation module, an asynchronous sampling circuit, and a post-processing circuit. The random signal generation module includes N ring oscillators RO_i, each RO_i having an independent enable terminal EN_i, i=0~N-1. The auxiliary TRNG module is a complete TRNG, outputting an M-bit auxiliary random number sequence F[M-1:0], where M>N≥2. The lower N bits of the auxiliary TRNG module's output F[N-1:0] are directly connected one-to-one to the enable terminal EN_i of the corresponding RO_i in the main TRNG module without any synchronization circuit, achieving EN_i=F[i], where F[i] corresponds to the i-th bit in F[N-1:0]. This invention can improve the entropy quality and attack resistance of the overall system.

A global navigation satellite system (GNSS) receiver for processing GNSS satellite signals uses a quasi-asynchronous sampling frequency grid to process the received signals. The GNSS receiver includes a plurality of RF paths configured to receive global navigation satellite system (GNSS) signals from the antenna and to transmit the GNSS signals within a range of frequencies to digitize the GNSS signals. The phase-locked loop is configured to generate a clock signal, and the plurality of clock frequency dividers are configured to receive and divide the clock signal. Each of the plurality of navigation systems receives a clock signal from one of the plurality of clock dividers.

The invention discloses an aircraft sensor data synchronous acquisition method based on an interpolation method, and the method comprises the steps: carrying out the asynchronous sampling of each path of aircraft sensor on the premise of the same sampling frequency; and receiving each path of sampling value and screening to obtain a credible sampling value, and calculating the sampling time of each path of sampling value according to the transmission delay. A fixed time sequence is selected, a correction value corresponding to the sampling value is calculated through an interpolation function and serves as a new sampling value, the sampling time is the same fixed sequence, and data synchronization of the sampling value is achieved. Under the condition of ensuring the same sampling frequency, a synchronous signal is not needed to control the sampling time, and a corresponding synchronous signal hardware circuit is not needed, so that the production cost is remarkably reduced, the measurement precision of the sensor is remarkably improved, and relatively good practicability is achieved.

The present invention discloses a multi-rate asynchronous sampling control method for a deep-sea robot's drive motor. The method includes the following steps: configuring the basic electrical and mechanical parameters of a motor system with multiple independent partitions; constructing a parameter matrix and achieving control signal decoupling through structural decomposition; setting a base sampling period and configuring differentiated sampling periods that are integer multiples of the base sampling period for each partition to discretize the control signal; constructing a selection matrix to determine the control signal sequence under multi-rate sampling; discretizing the parameter matrix and solving the feedback control gain matrix; constructing an autonomous system to describe the speed tracking signal and solving the feedforward control gain matrix; and finally, calculating discrete control voltages based on the real-time detected armature current according to the multi-rate period to drive the motor. This multi-rate asynchronous sampling strategy effectively matches the dynamic characteristics of different partitions with the control requirements, significantly improving motor control efficiency and responsiveness in deep-sea environments.

A composite ADC circuit for an active audio noise cancellation function. The circuit comprises: a sampling module, which is used for acquiring a sampled signal and converting same into an analog signal for output; a filtering module, which is electrically connected to an output end of the sampling module, and is used for executing at least second-order noise shaping on the analog signal on the basis of a sigma-delta modulator architecture, so as to obtain a filtered signal; and a quantization module, which is electrically connected to an output end of the filtering module, and is used for asynchronously sampling the filtered signal and outputting at least a 4-bit quantized signal. By means of the composite ADC circuit, the delay of a digital filter is greatly reduced without reducing the overall signal-to-noise ratio of the circuit, and therefore the processing time requirement for active noise cancellation is met, and the requirements of an active audio noise cancellation ADC regarding low delay, high precision and low power consumption can be met.

The present application relates to the technical field of power grid optimal scheduling, in particular to a virtual power plant real-time dynamic scheduling method and system based on reinforcement learning. The present application aligns the event time, cooperates the data quality mask and the dynamic constraint generation, so that the decision state read by the reinforcement learning and the physical boundary read by the safety projection have consistent decision time and constraint version. Then, by associating the decision tuple with the state hash, the policy version and the command cycle, the present application can form a checkable data chain from the telemetry input to the device command, thereby reducing the state mixing caused by asynchronous sampling, obsolete data and version mismatch, and alleviating the problem of inconsistent input caliber of heterogeneous distributed resources in real-time scheduling.

The invention discloses a high-precision fringe phase extraction method based on a 2D-Hamming self-convolution window. The high-precision fringe phase extraction method comprises the steps of 1, discretization collection of a fringe pattern; 2, constructing a 2D-Hamming self-convolution window with better spectrum leakage suppression performance; 3, weighting the fringe pattern by adopting a 2D-Hamming self-convolution window; 4, executing 2D-FFT to obtain a frequency spectrum of the fringe pattern; 5, selecting a positive primary frequency spectrum by using a band-pass filter; 6, obtaining the time domain distribution of the positive first-order frequency spectrum through IFT (Invariant Feature Transform); 7, extracting a wrapped phase of the fringe pattern; and 8, obtaining an absolute phase by using a fast intensity transmission equation unwrapping algorithm. Aiming at the problem of spectrum leakage caused by the fringe image in the discrete sampling, asynchronous sampling and non-full-period truncation process, the weighting characteristic of the 2D-Hamming self-convolution window is utilized, the spectrum leakage error is effectively inhibited, and thus high-precision phase extraction is realized.

The invention discloses a differential privacy fusion filtering method of an asynchronous sampling positioning system in a low-reliability environment. The method comprises the following steps: 1, establishing a dynamic model of an asynchronous sampling nonlinear positioning system based on sensor network communication; 2, converting the asynchronous sampling nonlinear positioning system dynamic model into a synchronous sampling nonlinear positioning system dynamic model through a zero-order holding strategy; 3, designing a differential privacy distributed fusion filter; 4, calculating one-step prediction and one-step prediction error covariance; 5, deriving a local filter gain according to the one-step prediction error covariance; 6, substituting the local filter gain and the one-step prediction into the step 3 to obtain fusion filtering; and 7, calculating a local filtering error covariance upper bound. According to the method, the problem that the privacy protection and filtering performance of the positioning system cannot be considered cooperatively in the existing filtering method is solved, and meanwhile, the influence of randomly generated nonlinearity of the sensor on the fusion filtering effect is discussed, so that the estimation precision of the problem is improved.

The invention discloses a method for realizing asynchronous sampling rate conversion in a video signal digital-to-analog conversion process, which comprises the following steps of: designing an FIR (finite impulse response) type asynchronous sampling rate conversion filter (as shown in an attached drawing) with a frequency response function of (kT / 2) / sin (kT / 2) type; and the frequency component signal gain of the video signal subjected to digital-to-analog conversion and long-distance transmission is kept constant. Therefore, various technical indexes such as a frequency response curve, a chromaticity and brightness gain difference, group delay and a signal-to-noise ratio of video signals subjected to digital-to-analog conversion and long-distance transmission can meet requirements. The FIR type asynchronous sampling rate conversion filter is realized through an FPGA, prototype filter coefficients of 24 basic phases are stored in the FPGA, filter coefficients on finer phases and optimization of the filter coefficients are realized through 3-order Lagrange interpolation, and filtering processing of 16 paths of video signals is simultaneously realized through one FPGA module, so that the performance of the asynchronous sampling rate conversion filter is effectively improved, and the filtering efficiency is improved. And the storage space of the coefficient is saved.

This invention is related to the method providing computation of the signal frequency components in an acceptable accuracy in contravention of the shifts in the phase and the magnitude information caused by asynchronous sampling of the signals in the process of asynchronous sampling of metal detectors wherein the received signal by the receiver unit (4) divided into time intervals, say timing values those are far shorter than the sampling period and correspond to nearest probable sampling of the ADC (6); providing the computation of the sine and cosine coefficients or exponents of time constant coefficients of the said timing value from previously located or dynamically generated coefficient table; resulting the elimination of the requirement of synchronous sampling and the requirement of the signal period is multiple of the sampling period.

The invention discloses a distributed model prediction anti-interference control method for a vehicle queue. The method comprises the following steps: obtaining a distributed model prediction controller objective function; obtaining a nominal expected acceleration control law of the distributed model prediction controller based on a KKT condition method; obtaining an uncertain disturbance value caused by unmodeled characteristics of the vehicle queue control system; calculating an expected acceleration; and carrying out distributed model prediction anti-interference control. Based on a following vehicle longitudinal dynamic model containing an uncertain disturbance term, a time lag dynamic model considering communication network time lag under an asynchronous sampling mechanism is established, and a designed compensation controller can estimate uncertain disturbance of a following vehicle caused by unmodeled characteristics of a system in real time. And the anti-interference capability of the vehicle queue controller is improved, so that the control precision, stability and robustness are improved.

The present invention discloses a transient homologous waveform analysis method, which can resample and synchronously fuse multiple transient homologous recording files to generate a Comtrade waveform file, and use cubic spline interpolation, multi-stage digital filtering and least square curve fitting multiple digital signal processing methods to realize coaxial analysis of multiple homologous waveforms. The present invention solves the problem that multiple homologous waveforms cannot be analyzed on the same time axis and scale due to different sampling rates and asynchronous sampling, and the problem that the fundamental signal comparison analysis accuracy is not high due to differences in sampling circuits and CT characteristics. By comparing and analyzing the fault recording files of the relay protection device based on the transient sampling value of the intelligent recorder, it provides a basis for the intelligent recorder to perform real-time monitoring and early warning of the sampling value of the relay protection device.

The invention provides a multi-thread dynamic ring data acquisition method and device for a cloud computing center, and belongs to the technical field of information, and the method comprises the following steps: step 1, creating a timed task according to requirements, carrying out timed asynchronous sampling on various devices, and obtaining various configuration information of serial port converter devices; 2, grouping is carried out according to the IP address and the port of the serial port converter, and grouping information is obtained; step 3, constructing a thread pool, performing initialization according to the grouping information, and entering a thread execution process; and 4, according to the independent operation state of each thread, collecting the equipment monitoring data on the port and storing the equipment monitoring data in a database. According to the invention, efficient acquisition of the operation data of the power environment equipment can be realized, so that operation and maintenance management personnel can know the operation conditions and key data of all the power environment equipment in time, and a safety guarantee is provided for stable operation of a computing center.

The invention belongs to the technical field of monitoring instruments, and particularly relates to a nonlinear load monitoring method and device. The method comprises the following steps: acquiring a preprocessed sampling value signal parameter; calculating a sampling value signal parameter by adopting a zero-crossing method to obtain a power grid fundamental frequency; determining the number of sampling points of Fourier transform according to the fundamental frequency of the power grid, and establishing an orthogonal basis of forward Fourier transform according to the number of sampling points of Fourier transform and the fundamental frequency of the power grid; determining amplitudes and phases of a fundamental wave and each integer harmonic wave through an orthogonal basis of forward Fourier transform; and determining the amplitude and phase of inter-harmonics according to the amplitudes and phases of the fundamental waves and the integer-order harmonics, thereby realizing non-linear load monitoring. According to the method, the frequency difference caused by asynchronous sampling can be automatically adjusted, the frequency leakage and the fence effect caused by an asynchronous algorithm are reduced, compared with traditional DFT, when the frequency offset is 0.5%, the accuracy is improved by more than 10 times, and the calculation amount is only increased by one time of orthogonal basis calculation.

The invention relates to a broadband power grid harmonic rapid extraction method based on multi-scale cooperative measurement, and belongs to the field of power system harmonic analysis, and the method comprises the steps: constructing a multi-window parallel data buffer, and dynamically calculating the confidence coefficient weight of each window through a smooth transition function; respectively loading a rectangular window and a Blackman window by adopting a self-adaptive window function strategy, preliminarily acquiring full-band spectrum parameters by combining zero-padding FFT (Fast Fourier Transform), and introducing a phase alignment algorithm based on a time zero point to eliminate phase drift caused by asynchronous sampling; for random interference, a stability filtering mechanism is adopted to carry out validity verification. According to the method, multi-window parallel processing and an S-shaped smooth transition mechanism are organically combined, so that the unification of broadband harmonic transient fast locking and steady-state high-precision metering is realized, the dynamic adaptability and anti-noise reliability of measurement are remarkably improved, and a reliable technical basis is provided for broadband oscillation monitoring and control of a novel power system.