74 results about "Phase correction" patented technology

This utility model discloses a switch control circuit with adjustable on / off phase, including a parameter setting unit that inputs a preset on / off phase value or a preset on / off time value; a zero-crossing detection unit that generates and outputs a zero-crossing synchronization signal; a control unit that uses the zero-crossing synchronization signal as a phase calculation reference and controls the switch unit to perform on / off actions based on the preset on / off phase value or preset on / off time value; a correction detection unit that outputs a phase correction signal; and a control unit that calculates and corrects the phase deviation of the control unit's on / off actions based on the phase correction signal. Thus, the zero-crossing detection unit continuously outputs a zero-crossing synchronization signal, the control unit uses the zero-crossing synchronization signal as a phase calculation reference, combines the preset on / off phase value or preset on / off time value to control the switch unit to perform on / off actions, and corrects the phase deviation based on the phase correction signal from the correction detection unit, ensuring stable on / off control. It features flexible sampling methods, high control accuracy, and a wide range of applications.

This invention discloses a UAV phase correction method, device, apparatus, and storage medium based on miss distance fusion calculation. The method combines low-light television miss distance extraction with a fast phase correction algorithm. Specifically, the method includes: acquiring hovering deviation data via low-light television using a servo system; calculating accurate angular information data between the UAV and the antenna; recording the antenna encoder angle at the moment the miss distance is zero; adjusting the antenna azimuth and elevation angles; reading the miss distance value and output voltage value respectively; calculating the phase and directional sensitivity coefficients; and adding the obtained phase shift value and directional sensitivity coefficients to the digital baseband. This invention solves the technical problem of errors in fast phase correction algorithms when using UAVs as beacons, where inaccurate directional sensitivity leads to the digital baseband receiving and demodulating error voltage failing to accurately reflect the true target spatial position, ultimately affecting tracking and measurement.

According to an embodiment of the present invention, proposed is an apparatus for receiving a control channel in sidelink communication, wherein the control channel is transmitted in pair with a data channel in one subframe and has a fixed size in the frequency domain, and the apparatus may comprise: a memory configured to store code for receiving the control channel; and a processor configured to execute the code to carry out operations for receiving the control channel. The operations may include: generating a reference signal for the control channel by using a first cyclic shift (CS) among a plurality of cyclic shifts (CSs); carrying out a differential correlation operation on a correlation between a reference signal for a received candidate control channel and the generated reference signal; applying phase rotation or phase correction to a result of the differential correlation operation to detect a minimum phase value and a CS corresponding to the minimum phase value; and by using the minimum phase value and a normalized power value obtained on the basis of the differential correlation operation, determining whether detection of the presence of the control channel is successful or determining a CS used for the control channel.

The application discloses a photovoltaic power prediction method based on a rain amount self-adaptive mechanism and time-frequency fusion, relates to the photovoltaic prediction technical field, and comprises the following steps: step S1: acquiring meteorological data and performing pretreatment; jointly using a Clayton-Copula function and a Gaussian-Copula function to screen key influence features from the meteorological data; step S2: using an enhanced Fourier hybrid model to perform feature enhancement on the key influence features, including frequency domain conversion, frequency band self-adaptive enhancement, phase correction and inverse Fourier transform recovery time domain signal operations on the key influence features, so as to obtain enhanced key influence features; step S3: performing feature fusion on time domain features and frequency domain features in the enhanced key influence features, including operations of a gating network, feature weight calculation and weighted fusion on the time domain features and the frequency domain features, so as to obtain fused key influence features; and step S4: performing power prediction on the fused key influence features, and mapping to a target variable through a full connection layer to output a final predicted photovoltaic power value.

This invention discloses a drone swarm presence monitoring system and method based on broadcast signal reflection, relating to the field of drone monitoring technology. It includes multiple receiving and sensing nodes, a data transmission network, a time synchronization unit, and a central processing unit. Each receiving and sensing node includes an observation receiving channel, a reference receiving channel, and an acquisition and local processing module, used to receive FM broadcast signals and extract the characteristics of intensity and phase changes over time to form a sensing feature vector. The central processing unit includes a reference coherence correction module, a background feature learning module, an existence determination module, and an alarm and recording module. It suppresses background drift caused by multipath and environmental noise through phase correction or coherent cancellation based on a direct wave reference, establishes a background feature vector, and compares it with a real-time feature vector to determine the presence of the drone swarm and output an alarm. It utilizes existing broadcast signals as an illumination source to enhance the detection capability of low-altitude, slow-moving, small-sized drone swarms.

The present application relates to quantum key distribution, in particular to a satellite-ground continuous variable quantum key distribution system and method based on deep learning, a signal receiving and branching module receives multiplexed optical signals containing quantum signals and classical reference pulses from a satellite, and separates the quantum signals and classical reference pulses corresponding to a coherent detection and key generation module and an intensity measurement module; the intensity measurement module obtains a two-dimensional intensity distribution image of the classical reference pulses; a deep learning phase estimation module has a pre-trained deep learning model, takes the two-dimensional intensity distribution image as input, and outputs a two-dimensional phase correction value matrix with the same resolution as the input image; a phase modulation module performs real-time phase correction on the locally generated optical wavefront according to the two-dimensional phase correction value matrix to compensate for the phase distortion caused by atmospheric turbulence; the present application can effectively overcome the defect that it is difficult to accurately and real-time correct the phase distortion caused by atmospheric turbulence in the satellite-ground link.

The system includes D MISO filters and D interference cancellation filters, and multiple received signal sequences are D first received signal sequences. Each of i-th (i is an integer between 1 and D) MISO filters included in the D MISO filters receives i-th D received signal sequence as input and estimates i-th single transmitted signal sequence included in D transmitted signal sequences. Each of i-th interference cancellation filters included in the D interference cancellation filters receives a signal obtained by transforming i-th single estimated transmitted signal sequence, which is the estimation result of i-th single transmitted signal sequence, through phase correction processing and noise compensation processing, and the i-th D received signal sequence. The system cancels interference signals included in the i-th D received signal sequence, outputs the i+1-th D received signal sequence, and estimates D transmitted signal sequences including the i-th single transmitted signal sequence.

The present application relates to a kind of based on comb spectrum implementation wideband signal transmitting device amplitude phase flatness analytical method, comprising the following steps acquisition measured link's time domain complex IQ sampling data;Perform fast Fourier transform;Zero frequency component is moved to spectrum center;Calculate the index of each target frequency in spectrum array;The amplitude and phase at each index are calculated;Calculate preliminary amplitude error and phase error;Get amplitude flatness distortion;Interlaced phase correction is carried out;Phase unwrapping is carried out;Get phase flatness distortion;Filter out abnormal value;Output amplitude flatness distortion and phase flatness distortion result.The wideband signal transmitting device amplitude phase flatness analytical method based on comb spectrum implementation of the present application, system, device, processor and its computer readable storage medium, around the flatness calibration demand of wideband wireless signal transmitting device, obtains the flatness information of transmitting device from comb spectrum, realizes the asynchronous acquisition and efficient analysis without synchronization.

Apparatus and methods are provided for self-phase alignment in a phased-array transceiver. Detectors receive a first signal from a TX-path input of a first channel and a second signal from an RX-path output of a second channel, producing a DC value representing the phase difference between the signals, iteratively adjust RX phase shifters based on the DC values until the phase difference equals a predetermined amount, then apply a corrective phase opposite in sign and equal in magnitude to that amount to generate a final alignment value for normal operation. The predetermined amount may be ±90°. Each detector may include twin double-balanced mixers, a low-pass filter, and comparator. In one embodiment, a TX phase alignment is performed before the RX phase alignment, no additional RX-phase correction is required when the TX phase-offset values determined by the TX alignment are applied to each TX phase shifter for the RX alignment.

The application discloses a frequency modulation step-by-step radar motion compensation method under a low signal-to-noise ratio condition, and specific steps include: processing a received echo to obtain a one-dimensional range image spectrum of each sub-pulse, and intercepting an overlapping spectrum of adjacent sub-pulses; performing inverse Fourier transform on the overlapping spectrum to obtain a corresponding time domain signal; calculating an initial phase difference at a main peak position of the time domain signal; accumulating to construct a phase compensation factor; and performing phase correction on a sub-pulse frequency domain signal by using the phase compensation factor. The application directly utilizes the overlapping spectrum of adjacent sub-pulses to complete initial phase estimation introduced by target translation, extracts a phase difference at a main peak position of echo energy concentration, effectively suppresses interference of noise and non-main scattering points, makes the phase estimation process more robust, has low calculation complexity, and improves adaptability under a complex motion scene.

The present invention relates to the technical field of audio processing. Disclosed are a phase correction system and method for audio signals, and a device and a medium. The system comprises: an application processor, which is used for acquiring, for any microphone to be subjected to phase correction, a microphone identifier of said microphone, determining a microphone input pin identifier on the basis of the microphone identifier and a preset mapping relationship, and sending the microphone input pin identifier to a digital signal processor, wherein the preset mapping relationship is used for reflecting the correspondence between the microphone identifier and the corresponding microphone input pin identifier; and the digital signal processor, which is used for acquiring the microphone input pin identifier from the application processor, determining a storage space, where an audio signal picked up by the microphone corresponding to the microphone input pin identifier is located, and correcting the audio signal in the storage space. The system can complete phase correction of audio signals picked up by a microphone.

This invention discloses a personalized transcranial ultrasound focusing correction device and method. The device includes a combined holographic acoustic phase plate for phase modulation of the ultrasonic wavefront emitted by an ultrasonic transducer and a non-fully enclosed shell for fixing and protecting the combined holographic acoustic phase plate. The combined holographic acoustic phase plate includes a first holographic acoustic phase plate and a second holographic acoustic phase plate arranged parallel to each other along the sound wave propagation axis. The first holographic acoustic phase plate has an incident surface facing the ultrasonic transducer and a first holographic surface opposite to it. The second holographic acoustic phase plate has an exit surface facing the outer surface of the target skull and a second holographic surface opposite to it. The first and second holographic surfaces are arranged opposite each other, forming a liquid layer filled with acoustic coupling fluid between them. This invention has a relatively simple structure, low cost, and can achieve personalized phase correction, effectively improving focusing accuracy.

This invention discloses a phase correction method for a GPU-accelerated swept-frequency OCT imaging system, belonging to the field of signal processing technology. The method constructs an SS-OCT system and acquires MZI reference signals and OCT interferometric signals; it locally upsamples the MZI signals, calculates the sub-pixel shift of each column of signals through threshold detection and reduction operations; it uses frequency-domain phase compensation to correct the nonlinear error of the OCT signal; and it achieves wavenumber domain resampling based on the Hilbert transform of the reference columns. This invention employs CUDA parallel computing to optimize the upsampling, frequency-domain shift, and phase unwrapping processes, and combines local computation strategies to reduce redundant operations, significantly reducing the processing time per frame and increasing the scanning rate to 2.48 times that of traditional methods. This improvement is significant and can meet the data processing requirements of higher-speed SS-OCT.

This application relates to a method for achieving super-resolution angle measurement in a non-uniform area array tracking radar. The method includes: performing first-level amplitude and phase correction and azimuth-dimensional digital beamforming on the non-uniform area array based on the amplitude ratio and phase difference of each element relative to a reference element, thus converting the non-uniform area array into an equivalent virtual non-uniform linear array; and performing second-level amplitude and phase correction on the virtual non-uniform linear array based on the amplitude ratio and phase difference of each equivalent element relative to a reference equivalent element. This application achieves super-resolution angle measurement by performing two-level amplitude and phase correction on the non-uniform area array, effectively converting the complex non-uniform area array into a simple virtual uniform linear array. Furthermore, based on this virtual uniform linear array, a computationally efficient maximum likelihood estimation algorithm based on observation geometry is applied.

The application discloses a kind of spaceborne microwave radar amplitude-phase correction methods, comprising: through radar search scanning zero position nearby area, through radar AGC voltage to find the rough zero of azimuth and the rough zero of pitch;In the position deviating from rough zero positive half beam width, search the phase angle, obtain rough air feed self-calibration value;Using rough air feed self-calibration value carries out target tracking, the position of stable tracking is accurate zero;In the position deviating from accurate zero positive half beam width and negative half beam width, search the phase angle, obtain two groups of air feed self-calibration value, average two groups of air feed self-calibration value, namely air feed self-calibration compensation value.The application aims at the problem that existing correction technology only compensates the imbalance between radar channels amplitude and phase, and proposes a complete correction method, which simultaneously compensates the imbalance between radar channels amplitude and phase and antenna air feed amplitude and phase, corrects the amplitude and phase error to air feed end, thereby improving the accuracy of radar angle measurement.

This invention relates to the field of antenna technology and discloses a method for correcting assembly errors in planar reflective array antennas. It aims to address the problems of existing assembly processes failing to maintain subwavelength-level accuracy, traditional compensation methods being unable to dynamically detect non-uniform deformation and local misalignment, and lacking the ability to jointly model multi-dimensional coupling errors. The method includes: constructing a digital twin model containing the theoretical positions and phase configurations of the reflective elements; acquiring spatial coordinates and radiation field data under the actual assembly state through 3D scanning and near-field measurement; establishing the mapping relationship between element position deviation, angle deflection, beam pointing error, and gain loss; identifying key error patterns and distribution regions using principal component analysis and spatial clustering; calculating the required phase correction for each element and generating a compensation distribution map. This application enables accurate perception, adaptive compensation, and online correction of assembly errors, significantly improving antenna gain, sidelobe suppression capability, and beam pointing accuracy.

This invention relates to the field of marine acoustic detection technology and discloses a dynamic suppression algorithm for real-time elimination of the influence of tidal motion on sonar signals. The method collects sonar signal sequences and tidal motion parameter sequences for the current sea area and divides the sonar signal into multiple time windows. Within each window, the phase offset is calculated based on the tidal parameters and converted into time-domain compensation coefficients through an established dynamic coupling model, performing preliminary phase correction on the sonar signal. Spectral analysis is performed on the initially suppressed signal to extract residual interference features, and the parameter weights of the dynamic coupling model are adjusted accordingly to generate an optimized model. This optimized model is applied to the processing of the next time window, forming an iterative suppression closed-loop process. This method can adaptively track the dynamic changes of tidal motion, effectively weakening its periodic modulation interference on sonar signals and improving the accuracy of sonar detection data in strong tidal areas such as nearshore and estuaries.

This invention discloses a ghost wave suppression method for OBS data based on horizontally extended complex wavelet transform. The method transforms land and water detection data into the complex wavelet domain using horizontally extended dual-tree complex wavelet transform. Then, the envelope energy ratio and phase ratio of the land and water detection data are calculated in different frequency bands of the complex wavelet domain to obtain the land detection amplitude and phase correction operators for each frequency band. These operators are applied to the land detection data to obtain calibrated land detection data. Subsequently, the land and water detection data are subtracted to obtain downlink wave data. Simultaneously, the above data undergoes an inverse complex wavelet transform to obtain a time-domain ghost wave model. Finally, the original land detection data and the ghost wave model are subtracted using least-squares matched subtraction to obtain the final uplink wave data. This invention, through fine calibration in the horizontally extended complex wavelet domain, can more effectively eliminate amplitude and phase differences in land and water detection data, thereby achieving higher-precision uplink and downlink wave field separation and ghost wave suppression.

The application discloses a two-dimensional omnidirectional edge detection phase correction automatic optimization method based on a double-layer titanium dioxide metasurface, and belongs to the technical field of metasurface light field regulation and optical image processing. In view of the problems of unstable edge enhancement effect, insufficient adaptability and evaluation susceptible to local abnormalities of an existing scheme, a candidate model set containing an original scheme and various radial phase correction schemes is established on a basic radial phase distribution, the original scheme is used to determine main edge reference positions in multiple fixed directions, each candidate model extracts an edge response near the position, an average signal-to-noise ratio and a full width at half maximum are calculated in multiple directions, and then a unified comprehensive score is calculated, and the candidate model with the highest score and parameters thereof are output as an optimal scheme. The method can be used for high-speed low-power optical analog edge detection and integrated optical image processing, and improves the adaptability and robustness of edge detection.

The input conversion board, analog input board, and arithmetic processing board provided on the protective relay can be removed independently of each other. The analog input board (20) to be calibrated is mounted on the board mounting section (61) of the calibration system (60). The phase reference signal generation circuit (80) generates a phase reference signal (92) in response to the trigger signal (76). The calibration power supply (62) generates a sinusoidal calibration analog signal (64) based on the phase reference signal (92) and the amplitude setpoint (91). The control device (70), which outputs the trigger signal (76) and the amplitude setpoint (91), determines the gain correction value and phase correction value (94) of the analog input board (20) by comparing the amplitude and phase of the first digital conversion signal (93) generated by A / D conversion of the calibration analog signal (64) with the phase of the amplitude setpoint (91) and the phase reference signal (92).

This invention relates to the field of power system measurement and correction technology, and in particular to an adaptive correction method for power frequency measurement errors caused by harmonics in voltage transformers. The method includes the following steps: synchronously acquiring voltage signals from the primary and secondary sides of the voltage transformer, as well as environmental parameters related to the transformer's temperature and humidity; preprocessing the acquired voltage signals and environmental parameters; obtaining the amplitude and phase characteristics of the preprocessed voltage signal at both the broadband and power frequency ranges, and constructing a ratio and angle error model coupled with multiple factors including frequency, temperature, and humidity; fitting the error model using training data to obtain model coefficients; and achieving a preset accuracy through model verification and iterative optimization; dynamically calculating amplitude and phase correction coefficients based on real-time operating parameters and the optimized error model; performing amplitude and phase correction on the secondary side power frequency voltage signal after smoothing by moving average, and reconstructing the power frequency time-domain signal.

The application relates to the technical field of millimeter wave radars, and discloses an array channel correction method of a millimeter wave radar, which solves the problem of high cost of array channel correction of an existing millimeter wave radar, and mainly comprises the following steps: obtaining radar echo data of each receiving channel of a to-be-corrected array antenna under multiple rotation angles, and extracting measurement phase values of each receiving channel under each rotation angle according to the radar echo data; for each measurement phase value, a corresponding reference antenna is selected, and the reference antenna is dephased to obtain a target measurement phase value; the target measurement phase values of all rotation angles under each receiving channel are traversed, and the target measurement phase values corresponding to the rotation angles of phase value outliers are removed; theoretical phase values of each receiving channel under each rotation angle are calculated, and phase correction values of each receiving channel are determined according to the theoretical phase values and the target measurement phase values; and the spectrum data of each receiving channel are phase-corrected according to the phase correction values. The application reduces the phase correction cost.

The present application relates to the technical field of power equipment state monitoring, and particularly to an open core grounding current sensor anti-electromagnetic interference method, which constructs a whole-process anti-interference system of hardware and software cooperation, optimizes sensor deployment on the hardware level, selects nanocrystalline alloy to prepare the core, sets up a multi-layer electromagnetic shielding structure, integrates key units and adopts an anti-interference transmission mode to block interference from the source; on the software level, original digital signals are obtained through signal acquisition preprocessing, multi-dimensional interference feature vectors are extracted, self-adaptive composite filtering algorithms are dynamically matched according to weak, medium and strong interference levels, system errors are eliminated by combining magnetic circuit asymmetry online calibration compensation models, and real grounding current waveforms are reconstructed through phase correction and amplitude calibration to calculate the effective value. The present application significantly improves the anti-interference ability and measurement accuracy in complex electromagnetic environments, has strong adaptability and is easy to deploy, can provide accurate data for power equipment state diagnosis, and helps the safe and stable operation of the power system.

The application provides a method and system for out-of-coherence disturbance correction for multi-station SAR coherent change detection, and the method comprises the following steps: collecting stack data sets of two passes by multi-station SAR, and performing image registration on SAR images collected by different stations at different times; using echo signal energy equalization criteria to correct amplitude errors of the registered SAR images; using non-local filtering and strongest scattering mechanism separation method to accurately estimate noise phase; correcting out-of-coherence disturbance errors of the coherence coefficients calculated from the accurately preprocessed data, and correctly indicating change and non-change information; and the function of improving the accuracy and correction speed of multi-baseline InSAR phase errors is realized. The application corrects the out-of-coherence disturbance factors irrelevant to change information without relying on ground control points, precise orbit parameters, terrain information and traditional complex interference phase processing steps, and the amplitude and phase correction speed is faster and the accuracy is higher, and after the correction of the coherence disturbance factors, the details are clearer and the false alarm rate is lower.

This invention relates to the field of underwater welding technology and discloses a method and system for modeling and coherently enhancing the error propagation of underwater phased array nonlinear ultrasonic echoes. The method includes: establishing a unified error propagation model encompassing array element amplitude deviation, additional phase error, array element position deviation, and sound velocity disturbance; constructing a channel frequency domain transfer function based on a standard scatterer with known scattering characteristics and compensating for the measured echo; introducing a minimum variance distortionless response beamforming method based on amplitude and phase correction; optimizing the array output power distribution; and achieving real-time updating and stable output of the array channel response based on laboratory calibration and on-site dynamic correction phase calibration mechanisms, and by introducing an environmental correction factor. This invention enables quantitative analysis of the coherent superposition efficiency of nonlinear harmonics and accurate recovery of the amplitude and phase consistency of array channels under complex environments; it can improve the distinguishability of nonlinear harmonic signals and the stability and reliability of detection results in complex underwater environments.

An integrated photonics arrayed waveguide multiplexing / demultiplexing device is disclosed. The device includes an array of waveguides having an incident light waveguide section including a phase correcting region, a transmitted light waveguide section, a tunable reflector, wherein each pair of consecutive waveguides in the array includes a coupler. The coupler configured to combine light from the transmitted light waveguide sections, determine therefrom an optical phase difference between the two consecutive waveguides, and wherein the couplers are further configured to determine therefrom a change in optical path length required for each of two consecutive waveguides to reach a predetermined optical phase difference, and wherein each phase correcting region is configured to apply the change to correct the optical path length of the respective waveguide.

This invention belongs to the field of rotor fault classification and assessment technology, specifically involving a rotor guide bar fault detection system and method based on an asymmetric dual-frequency eddy current array. The inner layer excitation coil of the probe corresponds to the distribution of the guide bars, while the outer layer receiving coil has a higher density and covers the guide bars and gap areas, adapting to the rotor's curved surface. A dual-frequency excitation module applies low-frequency and high-frequency signals in a time-division manner, forming a gradient eddy current field inside the rotor. An angle synchronization drive module achieves precise synchronization between the response signal and the rotor position. A signal conditioning and acquisition module performs lift-off compensation and phase correction. A feature identification and processing module extracts the dual-frequency amplitude ratio, phase difference, and impedance change values, and identifies the fault type, location, and severity based on a multi-dimensional feature threshold matrix. This invention uses an asymmetric array structure to eliminate blind spots in guide bar gap detection and distinguishes between surface and internal defects through a dual-frequency collaborative mechanism. It can adapt to rotor rotation conditions, and the detection results are less affected by mechanical vibration and lift-off fluctuations.