794 results about "Phase error" patented technology

A transmission tower deformation monitoring device based on a phased array radar technology relates to the field of irregular contour metering, and comprises a map construction module used for constructing a regional digital map; the boundary determination module is used for near-field region boundaries; the signal acquisition module is used for acquiring a near-field echo signal of a near-field region through a narrow beam and acquiring a far-field echo signal of a far-field region through a wide beam; the calibration table construction module is used for constructing a signal intensity comparison table; the data processing module is used for determining effective monitoring data; the error calculation module is used for performing error calculation on the effective monitoring data to obtain a phase error and an amplitude error; and the parameter determination module is used for determining iron tower deformation parameters. According to the invention, the accuracy of transmission tower deformation monitoring can be improved.

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 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 relates to the technical field of prediction algorithms, and discloses a high-precision active power filtering and prediction algorithm for a three-phase ammeter, which comprises the following steps: acquiring original signals of three-phase voltage and current for baseline correction, performing time-frequency analysis on non-stationary harmonic waves and noise of the original signals, and dynamically adjusting filtering parameters; voltage and current phase alignment is carried out through FIR phase shift and zero crossing point detection, a phase-locked loop is constructed by using GRU to track the frequency of a power grid, the sampling frequency is dynamically adjusted, and frequency mutation is detected; iapFFT transformation is optimized to suppress spectrum leakage, a phase error is corrected through a deep learning network, and weak harmonic detection is enhanced by using an attention mechanism; classifying harmonic waves, and adaptively calculating total active power; dimensionality reduction is carried out on historical power and environmental parameters through an auto-encoder, and future active power is predicted; low-power-consumption hardware is adapted, and training efficiency and data security are optimized; three-phase signals are processed in parallel, and FPGA storage and FFT / FIR cores are optimized for filtering processing; and dynamically adjusting parameters of the phase-locked loop.

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.

A design method of a trust region satellite-borne dual-base interference SAR system is provided, relating to the field of radar measurement. Firstly, error sources of the interference SAR system are classified and analyzed, phase errors caused by image decoherence are calculated according to wave positions, and an analytical expression of baseline-related errors is reserved; a maximum phase error caused by imaging processing and an electronic device are estimated; and a baseline error is estimated. Then, the phase errors and the baseline errors are converted into elevation errors through an elevation fuzzy number, thereby obtaining an analytical expression of the elevation errors and the baseline parameters (length and dip angle). With a relative height measurement accuracy index of the system as an optimization object, a feasible solution interval between the baseline length and the baseline dip angle of the system is solved through a trust region algorithm. A minimum value of the baseline length is corrected according to a flying-around safety distance of a dual-satellite formation. According to the method of the present disclosure, the design of the satellite-borne dual-base interference SAR system can be guided, so that the satellite-borne dual-base interference SAR system is ensured to carry out terrain elevation surveying and mapping tasks with high accuracy and high reliability.

The invention discloses a lightning arrester on-line monitoring method and device, and relates to the field of intelligent monitoring, and the method comprises the steps: firstly collecting original current and voltage waveform data, carrying out the frequency domain decomposition operation, then introducing an intelligent prediction mechanism, carrying out the intelligent prediction of a phase error based on the fundamental voltage phase, temperature change and harmonic characteristics, and finally, carrying out the calculation of the phase error. And performing phase angle correction operation and preliminary calculation of resistive current on the fundamental current and voltage by using the corrected phase information, and introducing a historical data smoothing algorithm to perform noise reduction optimization on a result. And finally, comparing the analyzed and processed resistive current with a preset threshold value, and judging whether an alarm prompt is generated or not. Therefore, real-time evaluation and abnormal alarm of the operation state of the lightning arrester are realized, so that a powerful guarantee is provided for safe operation of a power system.

The invention relates to the technical field of bolt length detection data processing, in particular to a bolt length detection system, which is characterized in that a three-dimensional data acquisition module generates a high-density point cloud and extracts a thread curvature extreme point, and a dynamic model matching module screens an optimal lead angle parameter based on a Hausdorff distance; and constructing an axial expansion model carrying phase offset gradient features. The projection mapping correction module adopts a genetic algorithm to optimize a compensation coefficient matrix, and generates a dynamic weight correction parameter to suppress geometric distortion; and the phase error correction module combines Fourier spectrum decomposition and an exponential decay weight coefficient to construct a frequency domain transfer function to eliminate an axial accumulative error. According to the method, the problems of projection distortion and phase deviation caused by the lead angle are effectively solved through geometric-phase double-domain correction, dynamic parameter iteration and an error collaborative suppression mechanism, and the spatial positioning precision of the feature points at the tail end of the thread is improved.

The invention discloses a radar signal noise reduction method for deep learning, and relates to the technical field of radar signal processing, and the method comprises the steps: converting a time domain radar signal into a two-dimensional time-frequency graph through short-time Fourier transform; frequency domain feature extraction is carried out on the two-dimensional time-frequency graph, and frequency domain feature representation is output through a DnCNN and a cascade CNN in sequence; performing time domain feature extraction on the time domain radar signal and outputting time domain feature representation; fusing the frequency domain features and the time domain features based on a multi-head attention mechanism to generate cross-domain joint features; and inputting the cross-domain joint feature into a residual shrinkage network for signal reconstruction, and outputting a denoised time domain signal. A time-frequency double-domain collaborative learning framework is constructed, and signal high-fidelity reconstruction in a complex noise environment is realized through deep fusion of time domain characteristics and a frequency domain structure distribution rule. According to the noise reduction method, an extremely low phase error and an extremely high feature retention rate can be kept in a strong noise environment.

The invention relates to the technical field of artificial intelligence, in particular to an electrical connection safety management and control method based on intelligent monitoring, which comprises the steps of data acquisition, time synchronization, quality evaluation, feature engineering and the like. According to the method, electric, thermal, mechanical, acoustic and other channels are placed on the same time axis through unified alignment and quality marking of multi-modal data and two-stage time synchronization and resampling, explicit marking is carried out on missing, noise and abnormal points, the weight of a subsequent algorithm can be reduced or skipped according to marks, and misjudgment caused by phase errors and dirty data is reduced.

A retimer and a retiming method may employ dual path clock forwarding to drive a transmit clock generator. An illustrative integrated retimer circuit includes a sampling element configured to generate a digital receive signal by sampling an analog receive signal in accordance with a sampled signal; a timing error estimator configured to generate a timing error signal indicative of an estimated timing error of the sampled signal relative to the analog received signal; a clock recovery circuit configured to derive a sampled signal from the estimated timing error and a reference clock in part by determining the frequency signal; a transmitter configured to retransmit the digital reception signal according to a transmission clock; and a transmit clock generator configured to derive a transmit clock. The transmit clock generator operates based on each of: a reference clock; a frequency signal; and a phase error of the transmit clock with respect to the sampled signal.

A dual path PLL provides excellent output phase stability over PVT variations, without implementing a high accuracy TDC. A digital integral path employs a binary phase detector, comparing the reference and feedback signals, and an integrator to generate an oscillator control input to lock the long-term output phase to the reference signal. An analog proportional path employs a linear (e.g., edge triggered) phase detector and a charge pump and filter to generate an oscillator control input to mitigate phase noise in the output signal. The feedback signal to the proportional path is delayed, which has the effect of increasing the width of phase error pulses, and moving the charge pump operating point away from the zero point where it generates both positive and negative currents, which are difficult to match. A second linear phase detector in the proportional path compensates for the increased phase error pulse width by comparing the delayed and non-delayed feedback signals, and generating pulses in the opposite direction.

The invention relates to a DBF + LFMCW system zero intermediate frequency radar amplitude-phase high-precision closed-loop near-field calibration system and method. The method comprises the following steps: generating a test signal through a target echo simulator; a test signal is connected to a darkroom probe and is aligned with a certain receiving antenna of the radar, the radar equipment assembly receives the signal and mixes the signal with an internal local oscillator signal to obtain a zero intermediate frequency signal received by the channel, and meanwhile, the amplitude and the phase of the zero intermediate frequency signal are periodically collected and output to a terminal interface; a darkroom probe is controlled to be sequentially aligned with 1-N channels of a radar receiving antenna, zero intermediate frequency signals of each channel are collected and stored, recorded zero intermediate frequency data of all the channels are processed through a channel amplitude phase correction algorithm, and accurate correction of each channel is achieved. According to the invention, the baseband I / Q signals are directly collected and processed, so that accurate compensation of I / Q amplitude-phase inherent errors of each channel caused by DC offset, processing technology and the like can be realized.

The invention relates to a sparse cloth double-array-element phase comparison and double-frequency phase solution ambiguity radar angle measurement method and device, and belongs to the technical field of radar measurement. The method specifically comprises the following steps of: 1, performing phase comparison measurement on sparse cloth double array elements at a dual-carrier frequency and a lower dual-channel to obtain a phase difference between the array elements so as to obtain a fuzzy coefficient containing a phase error; according to the fuzzy coefficient, determining constraint conditions of dual-frequency and carrier wave values; step 2, under the constraint condition determined in the step 1, selecting a radar signal working frequency, and constructing a virtual short baseline according to the dual-array-element phase difference under different frequencies; and step 3, based on a virtual baseline ambiguity resolution method, calculating to obtain a non-ambiguity high-precision one-dimensional angle measurement angle.

The invention relates to a synchronous acquisition and vector synthesis method for residual current data of multiple acquisition units, and the method comprises the steps: a collection unit which prepares to read the information of each acquisition unit; the acquisition unit interrupts multiple times of triggering acquisition and stores residual current data until residual current information of a complete sine period is acquired; processing the acquired residual current data, and judging whether the acquisition unit has a fault or not; and the collection unit completes residual current data vector synthesis and calculates the magnitude of the residual current. The invention further discloses a synchronous acquisition and vector synthesis system for the residual current data of the multiple acquisition units. According to the invention, the collection unit broadcasts the synchronization signal to the plurality of collection units, and the collection units can receive the synchronization signal at the same time and start to collect the residual current signal at the same time, thereby achieving the synchronous collection of the residual current, avoiding the phase error caused by the synchronization error in the residual current signal collection process, and improving the collection precision of the residual current signal.

The invention provides a wide-area power waveform synchronous monitoring system and a synchronous monitoring method, in the synchronous monitoring system, firstly, a terminal layer node adopts a multi-channel synchronous sampling technology in combination with cross calibration, phase error detection and correction filtering, so that data of different signal sources can be ensured to be collected at the same time; and delay caused by hardware difference and different transmission paths is eliminated, so that the synchronization precision and accuracy of data uploaded to the edge layer node are relatively high, then the edge layer node can maintain the time synchronization precision at a relatively high level by executing a cross-hierarchy clock synchronization mechanism, and finally, synchronous analysis is performed through the master station layer node, so that the synchronization precision of the data uploaded to the edge layer node is improved. And the reliability of a monitoring result is ensured. According to the invention, the terminal layer node, the edge layer node and the master station layer node execute corresponding synchronous monitoring tasks at different levels, the synchronization precision can be improved, and the synchronization error can be reduced, so that the strict requirement of high-precision time synchronization is met, and the reliability of a synchronous monitoring result is improved.

The invention provides a distributed coherent communication system synchronization method, and the distributed coherent communication system enables dispersed nodes in a space to cooperate with each other through the construction of a virtual antenna array, so as to form a directional wave beam, thereby achieving the control and enhancement of a signal direction. A distributed Kalman filtering framework is introduced, a frequency and phase joint state space model is constructed, local observation data of nodes and neighbor state information are optimally fused, and dynamic estimation and compensation of frequency offset and phase errors are achieved. An updating strategy is designed in combination with an event triggering mechanism, local Kalman filtering prediction is executed in conventional iteration to suppress random noise and control the communication burden and calculation complexity of a system, meanwhile, the standard deviation of a residual phase error is effectively reduced by one order of magnitude, and the synchronization performance is improved.

The invention discloses a fast-locking low-jitter sub-sampling phase-locked loop structure. The sub-sampling phase-locked loop comprises a sub-sampling Bang-Bang phase discrimination circuit, a self-adaptive variable step size digital filter circuit, a delta sigma digital-to-analog conversion circuit and an oscillator circuit. The sub-sampling Bang-Bang phase discrimination circuit generates a phase discrimination output digital control signal according to an input reference signal and a feedback oscillator signal phase error, the adaptive variable step size digital filter circuit adaptively adjusts a filtering gain according to the phase discrimination output digital control signal, and the output of the filter circuit realizes digital-analog conversion after oversampling modulation. And the output analog signal controls the voltage-controlled oscillator to realize rapid low-jitter phase locking of the output and the reference signal.

The application discloses an online error calibration method for a hemispherical resonator gyro based on frequency superposition, which solves the problem that the traditional error calibration method for a hemispherical resonator gyro cannot realize online calibration of gain error, bias angle error and phase error in the same working mode. The application utilizes high-frequency cosine and sine reference signals to demodulate two-channel detection signals and extract high-frequency components in the detection signals. Subsequently, an associated model is established by using the high-frequency cosine and sine given control signals and the demodulated signals to realize online identification of the gyro error, and the identification result is applied to online calibration of the channel gain error, bias angle error and phase error, thereby enhancing the anti-interference ability of the hemispherical resonator gyro under variable temperature conditions. The application is mainly used for simultaneous online calibration of the channel gain error, bias angle error and phase error.

The invention relates to the technical field of serial communication, in particular to a high-speed clock recovery method and device based on an adjustable delay chain, and the method comprises the steps: generating a recovery clock initial phase; a multi-stage programmable delay chain is adopted, and a phase-locked loop or delay-locked loop structure is combined, so that the initial phase of a recovered clock is finely adjusted and locked, and phase capture and clock edge alignment are performed; based on a multi-path recovery structure, a path with the minimum error is selected from the delay paths through a preset phase error detection mechanism to serve as an output channel; environment parameters of the environment are collected, parameters of the multi-stage programmable delay chain are dynamically adjusted, and high-speed clock recovery is completed. According to the method, the edge capture precision, the system jitter tolerance and the working frequency range of the recovered clock are remarkably improved, and then the phase consistency, the anti-interference capability and the overall data receiving reliability of the recovered clock in the high-speed communication system are effectively improved.

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 present invention discloses a method and system for online calibration of the control loop phase error of a hemispherical resonant gyroscope. The method comprises the following steps: constructing a drive modal transfer function for the hemispherical resonant gyroscope and plotting an amplitude-frequency characteristic curve and a phase-frequency characteristic curve based on the drive modal transfer function; performing frequency domain analysis on the drive modal transfer function of the hemispherical resonant gyroscope based on the amplitude-frequency characteristic curve and the phase-frequency characteristic curve to obtain analysis results; and online calibrating phase error parameters based on the analysis results to compensate for the control loop phase error. The method is simple to operate and requires no external instrumentation. The hemispherical resonant gyroscope only requires normal operation; the remaining calculations are performed by a program. Furthermore, the method is adaptable, as component inconsistencies do not affect the testing process. Therefore, the method is suitable for measuring the phase errors of drive and detection signals in closed-loop control gyroscopes.

A phase lock loop includes a clock multiplier configured to receive a reference clock and output a multiplied clock; a phase detector configured to receive the multiplied clock and a divided clock and output a phase error signal; a loop filter configured to receive the phase error signal and output a control signal; a controllable oscillator configured to output an output clock in accordance with the control signal; and a clock divider configured to receive the output clock and output the divided clock, wherein the clock multiplier is either a frequency doubler or a frequency quadrupler, and a frequency response of the loop filter comprises a first notch at the frequency of the reference clock and a second notch at twice the frequency of the reference clock.

The invention discloses a FDA-MIMO radar multi-target distance angle joint super-resolution method and system, and mainly solves the problem that the existing phased array only depends on the angle to identify multiple targets, resulting in low resolution ability, and the implementation scheme of the method comprises the steps of obtaining FDA-MIMO radar echo data, and performing separation aliasing on the FDA-MIMO radar echo data to obtain a data matrix; performing conversion stacking on the data matrix to obtain NM * L-dimensional data, and calculating a covariance matrix of the NM * L-dimensional data; performing reverse array decoherence processing on the covariance matrix to obtain a new source signal covariance matrix; constructing a two-dimensional spatial spectrum function of a target distance and a target angle for the new source signal covariance matrix through a MUSIC algorithm; and performing spectrum peak search on the two-dimensional spatial spectrum function, and detecting a local maximum value of the two-dimensional spatial spectrum function to obtain a distance and angle joint estimation value of a plurality of targets. The method can improve the angle resolution capability of the target when the target angle interval is lower than the traditional resolution, reduces the influence of the amplitude-phase error on the resolution capability when the target distance interval is large enough, and can be used for target recognition.

The invention discloses an array antenna amplitude and phase error correction method, device and equipment and a storage medium, and relates to the technical field of antenna error correction. Carrying out amplitude phase correction on the received input signal; performing amplitude compensation on the signal after amplitude phase correction; and adopting the target phase compensation factor combination to minimize the image entropy after the signal after the amplitude compensation is imaged so as to carry out phase compensation and obtain an output signal. Amplitude-phase correction and amplitude-phase compensation are carried out on the input signal received by the array antenna, and during phase compensation, the target phase compensation factor combination is introduced to minimize the image entropy, so that the amplitude-phase error between array channels can be accurately corrected, azimuth energy leakage of a strong target point after imaging is avoided, and the imaging accuracy is improved. And higher imaging quality and deformation monitoring precision are realized.

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.

A method for iteratively compensating for detection, drive, and phase errors in a dual-channel measurement and control system for a hemispherical resonant gyroscope belongs to the field of inertial technology. The present invention solves the problem that detection channel errors, drive channel errors, and signal phase delay errors can cause undesirable drift in the standing wave angular rate output by the gyroscope. The present invention effectively suppresses individual errors by performing iterative compensation through a compensation matrix, effectively reduces coupling interference between errors through the design of a compensation scheme, and ultimately achieves optimal compensation for the three errors. By iteratively compensating for detection, drive, and phase errors, the signal detection accuracy and excitation application accuracy of the rate-integrating hemispherical resonant gyroscope dual-channel measurement and control system are improved, effectively solving the problem of undesirable drift in the standing wave angular rate caused by gain, deflection error, and phase delay error generated in the detection channel and drive channel of the measurement and control system. The method of the present invention can be applied to error compensation in a dual-channel measurement and control system for a hemispherical resonant gyroscope.

The invention provides a method and a system for improving the precision of an on-orbit SAR antenna pattern of a light and small satellite. The method comprises the following steps: S1, establishing an SAR antenna mechanical flatness field model; s2, establishing a thermal deformation field model of the SAR antenna; s3, establishing an SAR antenna T / R active channel amplitude-phase data field model; s4, SAR antenna machine, thermal and electrical errors are converted into a unified phase coordinate system; s5, establishing a satellite attitude pointing error model, and performing unified physical field conversion; and step S6: respectively carrying out sensitivity analysis on the direction of the antenna pattern aiming at the satellite attitude and the SAR antenna mechanical, thermal and electrical errors. According to the method, ground test and on-orbit data are adopted to compensate for SAR antenna mechanical, electrical and thermal phase errors and satellite platform attitude errors, so that the precision of an SAR antenna pattern model is further improved, and the on-orbit image quality is practically guaranteed.

The embodiment of the invention provides a millimeter wave radar transmit-receive array error calibration method and related equipment. The method comprises the following steps: acquiring a target virtual channel complex value matrix; determining a target calibration phase matrix according to the target virtual channel complex value matrix; determining a target amplitude-phase calibration factor matrix according to the target virtual channel complex value matrix and the target calibration phase matrix; executing a target phase calibration operation according to the target calibration phase matrix; and executing a target amplitude and phase calibration operation according to the target virtual channel complex value matrix and the target amplitude and phase calibration factor matrix. In this way, the phase error between the transmitting antennas caused by the machining process and the like can be compensated, so that the transmitting gain after synthesis is improved, the probability of distortion of spatial synthesis of a transmitting directional diagram is reduced, the amplitude-phase error between the MIMO virtual arrays is compensated, the accuracy of an angle measurement result is improved, and therefore the spatial synthesis precision is improved; and the radar detection quality and detection precision are improved.

Retimers and retiming methods may employ dual path clock forwarding to drive a transmit clock generator. One illustrative integrate retimer circuit includes: a sampling element configured to produce a digital receive signal by sampling an analog receive signal in accordance with a sampling signal; a timing error estimator configured to produce a timing error signal indicating an estimated timing error of the sampling signal relative to the analog receive signal; a clock recovery circuit configured to derive the sampling signal from the estimated timing error and a reference clock in part by determining a frequency signal; a transmitter configured to retransmit the digital receive signal in accordance with a transmit clock; and a transmit clock generator configured to derive the transmit clock. The transmit clock generator operates based on each of: the reference clock; the frequency signal; and a phase error of the transmit clock relative to the sampling signal.