447 results about "Phase compensation" patented technology

The invention relates to the technical field of high-speed digital interfaces, and discloses a JESD204B multi-device deterministic delay synchronization system and method based on dynamic clock phase compensation, and the system comprises a main node which generates and dynamically distributes clock signals, and constructs a dynamic clock tree structure; the slave equipment is used for realizing cascade error elimination through a distributed compensation mechanism; the dynamic phase compensation engine adopts a hybrid phase detection framework and is combined with a digital-to-time converter (TDC) and an analog phase-locked loop (PLL); and the environment parameter compensation module is used for collecting temperature, voltage and operation time in real time, and calculating phase compensation quantity through a formula that delta phi = alpha * (T-T0) + beta * (V-V0) + gamma * delta t. On the aspect of synchronization precision, the phase error of a single device can be smaller than or equal to + / -200ps, the strict scene requirement is effectively met, the environment adaptability is high, the defects of traditional fixed compensation can be overcome, cascade error accumulation can be efficiently restrained through distributed compensation of slave devices, and on the aspect of real-time performance, an online calibration module can conduct real-time calibration without interrupting services.

The invention discloses a method for suppressing subsynchronous oscillation of a doubly-fed grid-connected system, and relates to the technical field of stability control of a power system, and the method comprises the specific steps: S100, extracting the amplitude and phase angle of a subsynchronous frequency component, S200, generating a rotor compensation current instruction according to the amplitude and phase angle of the subsynchronous frequency component and a dynamic gain, and S200, generating a rotor compensation current instruction according to the rotor compensation current instruction; s300, dynamically adjusting the gain according to the suppression ratio and the amplitude of the target magnetic field during operation, S400, calculating the feed-forward decoupling voltage, S500, calculating the suppression ratio after injection, and executing a hierarchical control strategy. Subsynchronous oscillation suppression from the electromagnetic essential level is realized, and by monitoring the subsynchronous component of the air-gap magnetic field in real time and injecting the anti-phase compensation current at the rotor side, the suppression efficiency of the subsynchronous oscillation is improved. Active interference of a stator magnetic field and a rotor magnetic field in a subsynchronous frequency band is cancelled, an energy transfer path of subsynchronous oscillation is directly blocked, oscillation forming conditions are destroyed, and a dynamic gain adjustment mechanism optimizes compensation intensity according to a real-time suppression effect so as to cope with 5-45Hz subsynchronous oscillation frequency change.

The invention relates to the technical field of power monitoring, in particular to an intelligent filtering and trend compensation method and system for power monitoring and a storage medium, and the method comprises the steps: monitoring a current in real time to obtain an original current signal, and carrying out the abnormal data filtering of the original current signal, so as to obtain a normal current signal; smoothing the normal current signal based on a two-state space model to obtain a current decomposition signal; and performing phase compensation on the current decomposition signal based on a signal compensation formula to obtain an actual current signal. Abnormal data filtering is performed on the original current signal in real time, the trend component is extracted in combination with the improved double-state space model, and the differential-integral compensator is designed to counteract the system delay to obtain the accurate actual current signal, so that jitter elimination processing is performed on the current data in real time, and the relatively accurate current change trend is judged at the same time. And misjudgment is eliminated.

The invention provides a medical RFQ accelerator low-level signal phase stability control method and system. The method comprises the following steps: constructing a time-frequency energy spectrum feature vector based on wavelet packet transformation; extracting a second disturbance feature based on a lightweight convolutional neural network and an attention mechanism; constructing a phase dynamic trend prediction module based on a long short-term memory network, and obtaining a first prediction phase error; constructing a phase compensation module based on a residual control network to obtain a second phase compensation amount; and outputting a real-time driving control signal based on the extended Kalman filter. According to the method, the time-frequency energy spectrum feature vector based on wavelet packet transformation is constructed, accurate characterization of the multi-scale disturbance features of the low-level signals is achieved, a medical RFQ accelerator phase dynamic compensation system is established in combination with a deep learning network and an extended Kalman filtering algorithm, the control precision and the anti-interference capability of signal phase stability are remarkably improved, and the method is suitable for popularization and application. The method is suitable for a high-precision medical particle accelerator control system.

The invention discloses a control method and system for improving SVG (Static Var Generator) disturbance signal generation precision, relates to the technical field of SVG disturbance signal generation, and solves the technical problem that a current disturbance signal generated by an SVG is difficult to meet the dynamic precision requirement required by multi-frequency impedance measurement. According to the technical scheme, disturbance signal attenuation caused by SVG direct-current voltage control is calculated through an observer, after phase compensation, the disturbance signal attenuation and a direct-current voltage given value are superposed to serve as outer loop input of a voltage controller, and the outer loop input is subtracted from direct-current voltage feedback; an outer ring output is obtained through a voltage controller of an outer ring and superposed with an instruction current disturbance signal to serve as an inner ring input of a current controller, and SVG operation is controlled through a current inner ring controller and a PWM modulation instruction. The influence of a direct-current voltage outer loop on actual current disturbance signals is remarkably reduced, and the SVG can still output accurate actual current disturbance signals when instruction current disturbance signals of all frequencies are injected into the SVG.

The invention relates to the technical field of mining permanent magnet synchronous motor sensorless control, and particularly discloses a composite sliding mode control and adaptive phase-locked loop collaborative optimization method. Aiming at the technical bottlenecks of a traditional control strategy in the aspects of rotating speed fluctuation suppression, load disturbance compensation and rotor position observation precision, a collaborative architecture of a time-varying integral terminal sliding mode control module, a sliding mode disturbance observation module and a self-adaptive phase-locked loop module is constructed, so that the dynamic performance optimization of the system is realized. According to the method, through the dynamic coupling design of the time-varying gain nonlinear reaching law and the fast integral terminal sliding mode surface, the convergence speed and the buffeting suppression requirement are balanced while the disturbance dynamic influence is eliminated; multi-dimensional decoupling observation of external load disturbance is realized based on a hierarchical disturbance observer architecture, and a disturbance real-time suppression path is established in combination with a feed-forward compensation strategy; and constructing an error self-adaptive correction mechanism of rotor position observation by dynamically adjusting a phase-locked loop proportionality coefficient and a phase compensation parameter. The limitation of parameter solidification and observation coupling in traditional control is broken through, the rotating speed tracking stability, the position observation precision and the anti-interference capability under complex working conditions are remarkably improved, and an innovative solution is provided for a high-precision servo driving system.

The invention relates to the technical field of hydraulically-driven industrial control, and particularly discloses a self-adaptive control method and system for a hydraulically-driven guniting manipulator, which are characterized in that a pressure fluctuation signal, a flow change signal and a mechanical arm displacement signal of a hydraulic system are collected in real time, and a frequency domain decomposition processing technology is combined to realize self-adaptive control of the hydraulically-driven guniting manipulator. Separating the composite signal into a low-frequency characteristic signal reflecting load change and a high-frequency characteristic signal reflecting pressure impact; for a low-frequency signal, a dynamic weight adjustment strategy is adopted to generate a load compensation control quantity; for high-frequency signals, pressure oscillation is suppressed through differential order adjustable phase compensation processing; and finally, inputting the two paths of control characteristic values into a driving control model of the guniting manipulator, and generating an adjusting instruction of the hydraulic actuating mechanism.

The invention discloses a beam control optimization method and system for a millimeter wave network, and relates to the technical field of beam control optimization, and the method comprises the following steps: employing a DTW algorithm dynamic time warping algorithm to match multi-hop path time delay characteristics between a base station and user equipment, and screening an optimal reflection path sequence; obtaining path topology, constructing a secondary unconstrained binary optimization model, and obtaining discrete phase distribution through quantum annealing solution; calculating a quantization error of the discrete phase and performing frequency domain compensation by adopting an interpolation algorithm to obtain a phase compensation vector; loading the compensation vector to programmable metasurface hardware to form a reflection link, and constructing a phase error covariance matrix; correcting the weight parameter increment of the optimization model based on the matrix; and finally, a target function is constructed in combination with the correction weight and the compensation vector, channel capacity optimization is realized, the problems of difficult multi-hop path selection, insufficient phase error compensation and high beam optimization complexity in millimeter wave communication are solved, and the channel capacity and the communication quality are improved.

The invention discloses a satellite signal distortion compensation and data reconstruction method, system and device and a medium, and belongs to the technical field of satellite communication, and the method comprises the steps: obtaining and processing a satellite communication time domain signal, obtaining a time-frequency graph and a local feature vector, calculating the local feature vector through an encoder, obtaining a global feature, and carrying out the calculation of the global feature; splicing the global feature and the local feature vector to generate a fusion feature vector, and recovering the resolution of the time-frequency graph based on an end-to-end compensation network; and inputting a time-frequency graph and the fusion feature vector to obtain a phase compensation factor, compensating the time-frequency graph by using the phase compensation factor, reconstructing a time-domain signal through inverse short-time Fourier transform, splicing the fusion feature vector and a combined data type label, and inputting the spliced fusion feature vector and combined data type label into a trained neural network to realize semantic reconstruction. The method solves the problem of joint compensation of signal amplitude and phase, guarantees data integrity, gets rid of dependence on complex physical parameter estimation, and can quickly adapt to ionosphere change and multipath effect environment.

The invention discloses a low-frequency load shedding method and system based on zero crossing point real-time frequency tracking, and the method specifically comprises the steps: setting a dynamic time window according to the power frequency characteristics of a sensing signal, and removing an abnormal zero crossing point exceeding the dynamic time window; matching a pre-stored harmonic feature library, establishing a mapping relation between a harmonic mode and a phase offset, and performing adaptive phase compensation on a pseudo zero crossing point of the sensing signal; a sensing signal, PMU phasor data and meteorological parameters are input into a three-dimensional convolutional neural network, a cross-modal incidence matrix is calculated through a self-attention mechanism, a future frequency change trajectory is predicted in combination with an LSTM unit, and an optimal load shedding strategy is output; and based on the optimal load shedding strategy, in combination with a forward acceleration criterion and reverse fault locking, executing emergency load shedding according to load importance grading. The technical bottleneck of a traditional low-frequency load shedding device is effectively solved, and the performance and reliability of frequency stability control of the power system are remarkably improved.

The invention discloses a virtual synchronous direct drive fan subsynchronous oscillation suppression method based on two-stage lagging link phase compensation control. The method comprises the steps that 1, a phase compensation control module formed by connecting two stages of lagging links in series is constructed; 2, performing parameter setting on the phase compensation control module of the two-stage lagging link by using a momentum gradient descent optimization algorithm and a Newton-Rafson iteration method to obtain a set optimized phase compensation control module; and 3, analyzing damping characteristics of the system, and further selecting a proper compensation point to configure an optimized phase compensation control module for suppressing subsynchronous oscillation control of the virtual synchronous direct-drive fan grid-connected system. Through the design and reasonable configuration of the damping compensation module, the damping characteristic correction of the system can be realized, so that the subsynchronous oscillation of the grid construction type direct-driven fan grid-connected system is effectively inhibited, and the system stability is improved.

The embodiment of the invention provides an automatic test system for an integrated circuit board, and the system comprises a signal collection module which collects the multi-channel synchronous signal data of the integrated circuit board in real time, and extracts the time sequence characteristics of the signal transmission of each channel; the analysis module is used for constructing a time sequence deviation distribution model according to a preset time sequence constraint condition and analyzing delay inconsistency among multiple channels; the adjusting module is used for dynamically adjusting a phase compensation parameter of the synchronizing signal of each channel based on the time sequence deviation analysis result; and the test module is used for executing a closed-loop test according to the compensated synchronizing signal and verifying whether the data transmission time sequence of each channel accords with a preset synchronizing threshold value or not. Through the scheme of the embodiment of the invention, the synchronization signal can be regulated and controlled according to the time sequence deviation analysis so as to solve the problem of inconsistent delay in multi-channel data transmission.

The invention belongs to the technical field of radar beam control, and discloses a beam control system and method applied to a satellite-borne phased array radar antenna array plane. A hierarchical control architecture is adopted, computing resources are reasonably distributed, the beam conversion time is shortened, and universality is achieved; according to the invention, a main and standby circuit cross hot backup, series connection and parallel connection combined form is adopted at a sub-array wave control unit level, so that the number of output signals of a wave control extension set is reduced, and the system cost is reduced; component-level temperature amplitude phase compensation can be achieved, the component wave control chip collects temperature in real time and sends the temperature to the wave control unit through a BIT channel, and the wave control unit completes calculation compensation; according to the invention, subarray-level deformation phase compensation can be realized, and the wave control unit realizes deformation phase compensation at the subarray level according to the subarray deformation quantity measured by the deformation measurement system.

The invention discloses a multi-channel parallel sampling high-dynamic response analog-to-digital conversion method, system and equipment and a storage medium, and belongs to the technical field of power electronics and signal processing, and the method comprises the steps: configuring a high-speed analog-to-digital converter channel to form a parallel sampling module, carrying out the alternate sampling of an input power grid analog signal, and generating a discrete sampling sequence group; inputting to a control unit to extract feature data, and calculating to obtain a fluctuation feature value; constructing a channel clock control vector, sending the channel clock control vector to each high-speed analog-to-digital converter channel, adjusting a sampling trigger moment, and re-executing analog signal sampling to obtain a sampling sequence after phase compensation processing; performing waveform reconstruction processing to obtain continuous reconstruction waveform data; and performing electric energy integral operation, and outputting a dynamic metering result. According to the invention, the problems of slow response, sampling distortion and large metering error of the analog-to-digital conversion system under the conditions of frequency fluctuation, unsteady disturbance and bidirectional power in the prior art are solved.

The embodiment of the invention provides a broadband signal dynamic generation method and system based on multiple clock sources, and the method comprises the steps: monitoring a target frequency in real time through a field programmable gate array, and automatically switching to a corresponding target clock source based on a frequency band to which the target frequency belongs; correcting the phase difference corresponding to the new and old target clock sources through a phase compensation register when the target clock sources are switched, and loading a compensation value to a phase offset register of a direct digital frequency synthesis chip; a fundamental waveform of a broadband signal is generated based on a direct digital frequency synthesis chip, multiple harmonic components are superposed through a fractional accumulation method, and each harmonic amplitude is independently controlled through a look-up table method; an output signal of the power amplifier is collected through the analog-to-digital converter, error information of the actually measured waveform and the theoretical waveform is extracted, the phase offset register and the harmonic amplitude look-up table coefficient are dynamically corrected, and a target broadband signal is output. Unification of broadband coverage, high resolution and quick response is realized.

The invention relates to the technical field of communication, and discloses a network communication chip signal interference suppression processing method. The method comprises the following steps: acquiring a local oscillator phase jitter sequence in real time through an on-chip phase noise monitoring unit; estimating Doppler frequency shift and channel coherence time based on the sequence; dynamically adjusting the closed-loop bandwidth of the phase-locked loop; and generating a phase compensation signal, and performing time-varying channel minimum mean square error equalization in combination with a received baseband signal to eliminate inter-symbol interference. The system integrates a phase noise monitoring function module, a channel parameter estimation function module, a phase-locked loop bandwidth regulation function module, a phase compensation generation function module and an interference joint elimination function module. By means of dynamic bandwidth reconstruction and high-precision phase compensation, the bit error rate under high-speed movement is remarkably reduced, the 5G millimeter wave communication standard requirement is met, and the method has the advantages of being achieved on a whole chip, low in delay and high in robustness.

The invention relates to the technical field of power quality monitoring, in particular to a method and system for constructing a power quality disturbance recognition model based on multidimensional data, and the method comprises the steps: obtaining voltage and current waveform data and environmental parameter data of a key node of a power transmission line, carrying out the hardware defect self-inspection and phase compensation of the voltage and current waveform data, and obtaining a power quality disturbance recognition model; clean transmission electric energy data is obtained; and performing multi-scale noise suppression and time sequence correlation analysis on the clean transmission electric energy data, and constructing a high-fidelity disturbance sequence. According to the method, through the hardware defect self-inspection and phase compensation steps, denoising preprocessing is carried out by utilizing wavelet packet transformation, the frequency response deviation of equipment is identified through Fourier transformation, a frequency domain interpolation method is adopted to reconstruct a frequency-closed defect mark segment, the phase deviation error can be accurately compensated, and the detection accuracy is improved. And self-systematic errors of hardware are eliminated from a data acquisition source, high fidelity of clean transmission electric energy data used for subsequent analysis is ensured, and a foundation is laid for high-precision identification.

The invention discloses a spare power automatic switching device test switch simulation test system, and belongs to the technical field of power grid simulation test. Probability distribution generated through kernel density estimation covers a fault scene of a 99% confidence interval, and the characterization capability of an extreme scene is enhanced; the time delay precision of a switch action sequence is controlled timely and reliably by combining the global search capability of quantum annealing and the local fine tuning of the particle swarm algorithm, and equipment damage caused by time sequence dislocation is avoided by combining the UWB technology and the phase compensation algorithm; through an objective function weight coefficient and a closed-loop feedback mechanism, an optimization objective can be dynamically adjusted according to a fault type, through real-time comparison of a physical device and digital twinning and through logic criterion goodness of fit analysis, control logic consistency can be guaranteed, and through loop response time difference analysis and two-dimensional index quantification, verification precision can be guaranteed. And the strict requirements of the power system on correct logic and quick action of the spare power automatic switching device are met.

The invention discloses a monitoring multi-beam phased array control system based on FPGA (Field Programmable Gate Array) control, which belongs to the technical field of radars and comprises a control module, an antenna array, a memory, an upper computer and a serial port-to-parallel port communication module. According to the invention, dynamic loading and online updating of beam parameters are realized, rapid switching of multi-beam modes is supported, amplitude-phase compensation parameters stored in a memory and data of a temperature sensor are linked in real time, the duty ratio can be dynamically adjusted, the environmental adaptability of the system is improved, and the storage structure is optimized. The logic resource consumption of large-scale array control is reduced, state code real-time feedback enhances the system maintainability, and quick response and safe turn-off in a high-temperature scene are ensured in combination with over-temperature protection interruption.

The invention relates to the technical field of medical signal processing, in particular to a BCG signal processing method combining TimeGAN and a Butterworth filter, which comprises the following steps: carrying out preliminary noise reduction on an input BCG signal by adopting a Butterworth band-pass filter to obtain a filtered signal; performing phase compensation on the filtered signal by adopting a bidirectional filtering mode to obtain a signal without phase distortion; the trained TimeGAN model is adopted to carry out signal optimization on the signal without phase distortion, and an optimized signal is obtained; the TimeGAN model comprises a convolutional neural network which is used for inputting data in the TimeGAN model to carry out feature extraction so as to obtain corresponding local features; the long short-term memory network is used for carrying out time sequence modeling on the local features to obtain corresponding time sequence features; the multi-head attention mechanism is used for calculating weighted features based on the time sequence features; and the generator is used for generating an optimized signal according to the weighted characteristics.

The invention discloses a GNSS anti-interference closed-loop phase self-correction method based on deep learning, and relates to the technical field of satellite navigation and artificial intelligence, and the method comprises the steps: obtaining an anti-interference array output signal and weight information through an array antenna and space-time adaptive processing; extracting a carrier-to-noise ratio, a weight phase feature and historical positioning quality, and constructing a deep learning feature vector; reasoning an array element-level phase correction reference quantity by using a multi-layer perceptron model, and realizing accurate phase compensation of an array output signal by combining phase error layered modeling, quick-change disturbance prediction and weight sensitivity estimation; an anti-interference perception observation covariance dynamic scaling mechanism is introduced into RTK positioning calculation; on-line learning and model updating are triggered through a positioning quality evaluation result, so that the system has an adaptive evolution capability. According to the method, the GNSS carrier phase quality and the positioning precision under the strong interference condition can be remarkably improved, deep fusion of anti-interference processing and high-precision positioning is realized, and the method has important engineering application value.

The invention relates to a zero calibration weak measurement high-sensitivity interval compensation method and system, and the method comprises the steps: collecting the light intensity data of two paths and four channels in a zero input state, solving the asymmetry caused by the loss difference of the channels through a weak measurement method, and carrying out the calculation of the asymmetry. And correcting the post-selection state and the compensation sensitivity of the system according to the intensity difference of the output projection to the horizontal polarization state and the vertical polarization state, calculating the phase offset of a high-sensitivity interval according to the loss difference of the four channels, generating a compensation phase, and modulating the center of the high-sensitivity interval to a working point. Compared with the prior art, high-sensitivity loss and high-sensitivity interval offset caused by system asymmetry can be corrected through phase compensation and post-selection state correction, it is ensured that a measurement system always works in an optimal sensitivity interval, the measurement sensitivity and stability of a photoelectric detection system under weak measurement are improved, and the measurement accuracy is improved. The method is suitable for application scenes with strict requirements on tiny signal detection.

The invention relates to the technical field of digital signal processing, and particularly discloses a mixed precision low-resource digital control oscillator implementation method and system based on an FPGA (Field Programmable Gate Array), and the method comprises the steps: dividing a 32-bit phase accumulator into a high-bit 24-bit dominant frequency control section and a low-bit 8-bit dynamic compensation section, and carrying out the phase accumulation in parallel through double carry chains, the high-order section receives high 24 bits of a frequency tuning word FTW to control a dominant frequency, and the low-order section receives low 8 bits of the FTW and overlaps an overflow remainder to dynamically compensate for a phase error. According to the implementation method of the mixed precision low-resource digital control oscillator based on the FPGA disclosed by the embodiment of the invention, through collaborative innovation of mixed precision phase accumulation, hierarchical mixed storage, high-order interpolation reconstruction and dynamic phase compensation, the core problems of a traditional NCO in resource occupation, phase continuity, waveform precision and time sequence performance are systematically solved.

The invention discloses a high-speed brushless direct current motor torque ripple suppression method, device and equipment and a storage medium, and belongs to the technical field of motor control. The method comprises three steps of adaptive harmonic suppression processing, phase compensation angle calculation and dynamic phase compensation. According to the invention, the center frequency is dynamically adjusted through the adaptive harmonic wave notch filter, the dominant harmonic component is inhibited in real time, and in combination with cascade delay signal elimination, 6k fixed subharmonics are filtered through the CDSC filter, so that a fundamental wave current signal is obtained; park transformation is carried out on the fundamental wave current based on an FOC algorithm, a PI controller is utilized to generate a phase delay angle according to a d-axis current error, and then a reference current compensation module dynamically compensates a current reference value to ensure phase synchronization of phase current and back electromotive force. Compared with the prior art, additional hardware equipment is not needed, and the torque ripple of the BLDC is reduced.

The invention relates to the technical field of high-precision satellite navigation, and particularly discloses a control method for introducing amplitude-phase distortion by anti-interference weighting of high-precision anti-interference navigation, which comprises the following steps of: aiming at amplitude-phase distortion difference caused by self-adaptive zero-setting anti-interference and multi-beam anti-interference processing; total amplitude phase distortion introduced after self-adaptive zero-setting anti-interference and multi-beam anti-interference weighting is calculated respectively, and total amplitude phase compensation needing to be carried out before a certain satellite signal is captured and tracked is obtained. According to the method, the thought of converting zero into integer and compensating for loss is adopted, and the total amplitude phase distortion introduced by anti-interference weighting to a satellite signal is calculated by means of a steering vector of the satellite signal; before the satellite signal is captured and tracked, total amplitude-phase distortion introduced by anti-interference weighting is compensated, it is ensured that follow-up capturing and tracking are not affected by the amplitude-phase distortion introduced by the anti-interference weighting, and the application scene requirements of self-adaptive zero-setting anti-interference and multi-beam anti-interference are met.

The invention provides a water-rich stratum tunnel train simulation excitation signal generation method and device, and relates to the technical field of engineering test, and the method comprises the steps: obtaining train operation parameters, wheel track vibration waves and track characteristic parameters; performing frequency band division on the wheel track vibration wave, calculating time delay, performing phase compensation on each frequency band according to the time delay, and generating a composite waveform to obtain a first signal; performing frequency domain correction on the first signal according to the train operation parameters, and adjusting the amplitude of each frequency band according to the corrected normalized energy of each frequency band to obtain a second signal; frequency bands of the second signal are divided according to the track characteristic parameters, the center frequency of each frequency band is determined, phase compensation is carried out according to impedance corresponding to the center frequency, and a third signal is obtained; and generating a simulation excitation signal based on the third signal and the train operation parameters. The excitation signal generated by the invention has the composite characteristics of high-frequency transient impact and low-frequency rigid motion, and can provide high-fidelity excitation input for related tests of train vibration load.

The invention relates to a high-speed target speed estimation method based on minimum entropy coarse and fine combination fast search. The method comprises the following steps: carrying out bandwidth synthesis on a baseband signal of a linear frequency modulation stepping echo signal; performing coarse velocity search on each sub-pulse, and performing phase compensation and coherent accumulation on each sub-pulse at each candidate coarse velocity; the waveform entropy of each candidate coarse velocity is calculated, and the candidate coarse velocity corresponding to the minimum entropy value in the waveform entropies is used as the optimal coarse velocity; compensating the intra-pulse Doppler distance coupling time shift of the baseband signal; performing distance pulse compression on the signal after coarse speed compensation; and performing bandwidth synthesis on the sub-pulse signals after pulse compression, performing fine grid search, performing phase compensation and coherent accumulation on each sub-pulse by using a fine phase compensation function for each searched fine velocity, and finally performing search according to a waveform entropy minimization principle to obtain an optimal fine velocity. According to the method, high-precision speed measurement and high-resolution range profile synthesis are synchronously completed in a single-frame signal.

The invention provides a target third-order motion parameter estimation method and device based on high-order phase fusion, and the method comprises the steps: building a third-order polynomial phase model based on a radar echo signal, and carrying out the high-order phase fusion estimation, and obtaining an estimation value of a third-order motion parameter; performing third-order phase compensation based on the estimated value of the third-order motion parameter to obtain an estimated value of a second-order motion parameter; performing phase compensation on the slow time complex sequence based on the estimated value of the third-order motion parameter and the estimated value of the second-order motion parameter to obtain a compensation sequence; and converting the compensation sequence into a single-frequency slow-time complex sequence, and estimating motion parameters of the to-be-measured target based on the single-frequency slow-time complex sequence. Through step-by-step compensation of the third-order phase term and the second-order phase term, coherent focusing of target energy can be realized under the condition of not depending on dense grid search, so that the robustness and precision of maneuvering target detection are improved, and meanwhile, the requirements of a vehicle-mounted system on real-time performance and computing power cost are considered.

The invention particularly relates to a method for converting pseudo code capture into tracking phase compensation under clock frequency offset. The method comprises the steps of band-pass sampling and digital down-conversion, local pseudo code sequence generation, twice pseudo code capture and phase compensation. Selecting a sampling frequency and processing a signal through a band-pass sampling theorem, and generating a local pseudo code based on a Gold code; a PMF-FFT method of a mobile pseudo code is adopted to complete first-time pseudo code capture, a multiplexing capture module executes second-time full-range capture, and pseudo code phase offset is accurately calculated; and finally, adjusting the local pseudo code phase through the total phase compensation value, so that the phase difference between the input signal and the local pseudo code is controlled within a half chip. According to the method, hardware cost does not need to be increased, the problem of inaccurate phase compensation under clock frequency offset, large frequency offset and low carrier-to-noise ratio scenes is effectively solved, it is guaranteed that pseudo code capture is smoothly converted into tracking, and the tracking reliability of a receiver is improved.

The invention provides a phase delay test and compensation method for an active power filter, and the method comprises the steps: generating a sine wave control signal with the frequency range of 1 kHz to 20 kHz through an FPGA, and driving a half-bridge inverter of the active power filter to output an analog signal; measuring delay time of three delay links in the active power filter by modules, wherein the delay time comprises delay 1 of an error detection link, delay 2 of an inversion link and delay 3 of a digital processing link; and taking the sum of the delay 1 of the error detection link, the delay 2 of the inversion link and the delay 3 of the digital processing link as the total delay of the system, introducing a phase compensation parameter in an LMS algorithm, and adjusting the phase of the offset current to enable the phase difference between the offset current and the harmonic current of the power grid to be 180 + / -5 degrees. According to the technical scheme, the delay parameter in the active power filter can be measured, phase alignment of the output signal of the active power filter and the harmonic current in the power grid is achieved in a compensation mode, and suppression of the harmonic current of the power grid is achieved.