214 results about "Phase distortion" patented technology

The invention provides a shield tunnel longitudinal seam joint recessive damage diagnosis method based on multi-mode ultrasonic guided waves, and the method comprises the steps: applying orthogonal polarization in a specific region of a longitudinal seam joint, and forming a space-time coupled guided wave interference pattern in the whole region of the longitudinal seam joint; the acquired guided wave interference map is utilized to separate baseline interference characteristics and abnormal disturbance components caused by hidden damage through multi-physics field reverse decoupling, and the abnormal disturbance components are represented as energy abnormal attenuation and phase distortion in a specific polarization direction; constructing a three-dimensional damage sensitive vector field in the longitudinal seam joint; and carrying out dynamic manifold topology analysis by utilizing the generated three-dimensional damage sensitive vector field, identifying topological characteristics in the three-dimensional damage sensitive vector field, and tracking a migration path and an intensity evolution trajectory of the topological characteristics along with the change of the detection condition. According to the method, full-dimension diagnosis and evolution prediction of the hidden damage of the longitudinal joint connector of the shield tunnel are realized.

The invention provides a motorcycle unlocking and locking method based on low-frequency radio frequency, Bluetooth and communication protocols, and the method comprises the steps: carrying out the phase compensation of a received signal through an iterative optimization equalizer coefficient until the phase distortion is effectively suppressed; a Kalman filtering algorithm is adopted to filter signals of a receiving end, and a filtered high-quality signal is obtained by establishing a state space model of the signals and updating state estimation by using observation values, so that interference of a multipath effect on a pairing process is reduced; in combination with a retransmission mode of a pairing protocol, dynamically adjusting retransmission parameters by tracking the response time and the success rate of a connection request; a Bluetooth pairing process is simulated, and connection success rates under different environment parameter settings are analyzed through a large number of simulation experiments, so that parameter selection of a pairing protocol is optimized.

The invention discloses a main power grid short-time load prediction method using a hybrid active filter, and particularly relates to the technical field of load prediction. The method comprises the following steps: acquiring active control parameters and passive branch parameters of a hybrid active filter, combining a real-time load fluctuation signal of a main power grid, extracting harmonic suppression characteristics and phase distortion characteristics, and analyzing and generating a time scale compensation factor through a dynamic coupling effect; and constructing a phase correction model based on the transient harmonic residual component and the time scale compensation factor, and performing frequency domain and time domain combined reconstruction on the real-time load fluctuation signal to obtain a corrected load fluctuation characteristic sequence. A short-time load prediction model is calibrated through a collaborative mapping relation, a load power prediction value of a main power grid in a future preset time window is output, a secondary high-frequency interference signal generated by real load fluctuation and filter self-resonance is effectively distinguished, and the problem of coupling interference of harmonic residual components on the load prediction model in a power grid impedance sudden change scene is solved.

The invention discloses a BIM (Building Information Modeling)-based large-span post-tensioned bonded prestressed beam construction method. The BIM-based large-span post-tensioned bonded prestressed beam construction method comprises the following steps: collecting a vibration signal of a working rib and a matt rib reference signal of a matt rib; inputting the dummy rib reference signal into an adaptive filtering algorithm to which phase preserving constraint is applied, and performing noise cancellation processing on the working rib vibration signal to generate a purified pressure wave signal; performing multi-scale decomposition on the purified signal, extracting propagation time delay of the direct wave based on coherence analysis among components, and generating a phase-time delay characteristic matrix; and based on pre-configured geometric parameters of the BIM three-dimensional model, a real-time stress distribution field is calculated through inversion according to the phase-time delay characteristic matrix, and the real-time stress distribution field is synchronously updated to the BIM three-dimensional model. According to the method, the phase distortion problem under noise interference is solved through a physical reference channel and phase preserving filtering, the accuracy of time delay extraction is improved through a multi-path separation technology, and high-precision and high-robustness real-time monitoring of the prestress is achieved.

The disclosure discloses an OAM measurement device independent quantum key distribution system based on real-time tracking compensation and method thereof, which comprises a user side Alice, a user side Bob and a measuring unit; the user side Alice and the user side Bob realize real-time monitoring and phase distortion compensation of the channel environment by using strong pulse lasers from the measuring unit; the measuring unit utilizes an M-Z interferometer formed by a Dove prism to realize the separation of odd / even orbital angular momentum order photons, and measure Bell states of the photons with orbital angular momentum; the disclosure realizes OAM measurement device independent quantum key distribution system based on real-time tracking compensation, and the user uses the orbital angular momentum state for coding, thereby having the characteristics of good stability, high code rate and strong expansibility.

The invention discloses a three-dimensional phase unwrapping method based on nonlinear phase coding, which comprises the following steps of: 1, constructing a wavelength-De Bruijn element mapping table, and generating a non-equal period phase shift stripe group; 2, projecting the phase shift fringes to a measured object frame by frame, obtaining a modulation pattern, and decoding the modulation pattern to obtain a non-linear wrapped phase; 3, constructing an approximate phase to carry out local phase unwrapping on the nonlinear wrapped phase to obtain a nonlinear local phase; and 4, screening out a phase candidate point and a candidate phase order of a nonlinear local phase by using a three-dimensional phase matching method. And step 5, using the phase candidate points to guide the nonlinear local phase to perform phase correlation matching so as to screen out a unique phase order, thereby realizing phase unwrapping. According to the method, a novel phase distortion characteristic is introduced, and a plurality of sine fringes with different wavelengths are used for serial coding according to a DB sequence. In a decoding stage, robust phase disambiguation is achieved by minimizing a local phase difference in left and right views. And high-precision measurement can be realized only by using three projection patterns, so that the three-dimensional measurement efficiency is greatly improved.

The invention belongs to the technical field of photoelectric stabilized platform intelligent control, and particularly relates to a photoelectric stabilized platform composite anti-interference method based on improved active-disturbance-rejection control, which realizes multi-band disturbance cooperative suppression through an improved extended state observer (ESO) and non-linear state error feedback (NLSEF) core architecture. For the problems of phase distortion and parameter sensitivity under traditional ADRC high-frequency disturbance, an ALMRBF-ESO observer is constructed by adopting a dynamic regularization constrained radial basis function neural network and an adaptive damping adjustment mechanism, gradient dispersion limitation of a traditional RBF in a high-frequency domain is broken through, and disturbance root-mean-square errors are reduced; by reconstructing a sliding mode gain equation of nonlinear tracking error feedback and implanting a parameter self-correction mechanism, dynamic response of a system is accelerated, overshoot is reduced at the same time, and the parameter drift rate of a controller is stabilized at 0.12. According to the method, on the basis of completely reserving ADRC robustness, the problem of collaborative optimization of ESO broadband disturbance observation precision and NLSEF dynamic tracking performance is solved.

Apparatus, methods, and computer-readable media for facilitating multiplexing of uplink signals at a repeater are disclosed herein. An example, a method for wireless communication at a repeater, includes obtaining a first uplink signal associated with a UE. The example method also includes providing a first uplink communication including the first uplink signal multiplexed with a second uplink signal, the second uplink signal being associated with an MT component of the repeater. Additionally, the example method includes obtaining a multiplexing configuration based in part on at least one of a phase distortion and a power mismatch associated with the first uplink communication. The example method also includes providing a second uplink communication based in part on the multiplexing configuration, the second uplink communication including a third uplink signal multiplexed with a fourth uplink signal.

The invention relates to the technical field of image processing, in particular to an optical thin film quality detection method based on image processing, which comprises the following steps: S101, acquiring a transient light field image sequence of an optical thin film in a dynamic stress field; s102, performing spectral analysis on the brightness time sequence of each pixel point, extracting a dominant frequency component as a brightness oscillation period, processing time domain fluctuation data by adopting a Fourier transform algorithm, and calculating a local optical path difference variation based on the brightness oscillation period of each pixel point in the image sequence; and S103, projecting the phase distortion field to a preset film elastic modulus distribution model, establishing a phase distortion-stress distribution-defect mapping relation, and identifying a modulus mutation region. A dynamic stress field is generated through the synergistic effect of mechanical vibration and thermal radiation, remarkable stress concentration can be generated at the micro-defect position, the deformation difference of the micro-defect is amplified, and therefore the sensitivity of defect detection is improved.

The invention relates to the technical field of optical detection, and discloses an object surface three-dimensional topography measurement method based on optical interference, which comprises the following steps: acquiring a mixed time domain interference signal sequence in an axial scanning process; extracting seed pixels and constructing a spatial topology connectivity feature matrix; introducing fractional Fourier transform, and constructing a joint decoupling objective function containing a frequency domain nonlinear phase distortion evaluation index and a time domain physical invariant evaluation index; executing multi-stage optimization for the seed pixels, and locking a global optimal rotation angle; array self-adaptive decoupling is executed in combination with the spatial topology connectivity feature matrix, and an optimal rotation angle matrix is generated; and performing signal decoupling and reconstruction on the mixed signal, and extracting the absolute surface height of each pixel point to generate three-dimensional shape data. According to the invention, through multi-dimensional joint decoupling and spatial prior constraint, the problem of phase decoupling caused by film interference aliasing is solved, and the calculation overhead of a large-pixel array is reduced while the measurement precision is improved.

The invention relates to the technical field of industrial vision, in particular to an automobile part surface defect detection method and system based on machine vision, and the method comprises the steps: firstly loading a CAD three-dimensional model, and rendering an ideal fringe reflection map in a virtual environment; calculating an optical distortion correction matrix by comparing the phase distortion with the phase distortion of an actual initial reflection image, driving a programmable light source to project a compensation pattern, and generating a normalized reflection intensity image; signal object decoupling is achieved through multi-scale wavelet transform, and high-frequency components and low-frequency components are separated; homomorphic filtering is applied to the low-frequency component to construct a homogenized background model, the high-frequency component is reversely corrected, and a high-signal-to-noise-ratio defect signal image is output; generating a coarse segmentation mask by the high-frequency signal through an adaptive local threshold, generating a morphology anomaly mask by the low-frequency signal through Hessian matrix morphological analysis, and fusing to form a collaborative segmentation mask; and extracting multi-dimensional geometric attributes of connected domains in the masks, and inputting the multi-dimensional geometric attributes into a decision tree to realize accurate classification and confidence output of defects.

The invention discloses a dynamic regulation and control method and system for a drilling tool of a machine tool, relates to the field of mechanical automation, and solves the problems that the tool monitoring cost is high, the number of misinformation and missing information is large, and the chip removal efficiency is low. Constructing a cutting impedance dynamic model, inputting spindle motor current, motor voltage, spindle rotating speed, motor internal resistance, motor operation frequency and time information into the cutting impedance dynamic model to obtain cutting impedance, and determining an impedance break variable according to the cutting impedance; determining a current phase difference offset and a reference phase difference, and calculating a cutter phase distortion index according to the offset and the reference phase difference; the cutter phase distortion index and the impedance break variable are fused to generate a comprehensive health index; compared with a traditional method, the method has the advantages that the detection precision is high, the false alarm rate is low, the response speed is high, the hardware cost is reduced, and the service life of a tool is prolonged.

The invention provides a real-time holographic phase unwrapping and phase distortion elimination method and system, computer equipment and a storage medium. The method comprises the following steps: acquiring and recording a hologram of an object to be measured; preprocessing the hologram to obtain a wrapped phase diagram; inputting the parcel phase diagram into an HS-TransUNet neural network to carry out parcel counting segmentation so as to obtain a parcel number diagram; multiplying the wrapping number diagram by 2pi and then superposing the wrapping number diagram and the wrapping phase diagram to obtain an unwrapping phase diagram; inputting the unwrapped phase diagram into an HS-TransUNet neural network to carry out background segmentation so as to obtain a background image; inputting the background image into an HS-ResNet50 neural network to obtain the first six Zernike coefficients; performing prediction by using the first six Zernike coefficients to obtain background distortion data; and subtracting the background distortion data from the unwrapped phase diagram to obtain a real phase of the target object. The method can realize real-time high-precision holographic phase unwrapping and phase distortion elimination.

Disclosed is a method and apparatus for processing a radar signal by correcting a phase distortion. The method includes generating radar data based on a radar transmission signal transmitted through an array antenna of a radar sensor based on a frequency modulation model and a radar reception signal received through the array antenna as the radar transmission signal is reflected by a target, correcting the radar data using a correction vector for correcting a feedline error occurring due to a feedline delay difference between channels of the array antenna, and estimating a direction of arrival corresponding to the corrected radar data using a direction matrix reflecting a phase shift of the corrected radar data according to frequency modulation characteristics of the frequency modulation model.

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 relates to a phase-undistorted underwater sound source line spectrum enhancement method based on deep learning, and belongs to the technical field of underwater sound detection and sonar. The problems of low signal-to-noise ratio, interruption, Doppler frequency shift and the like of a moving sound source line spectrum and the limitation that a traditional enhancement method is greatly influenced by the signal-to-noise ratio and only nonlinear noise can be processed are solved. Generating training data set pairs and setting labels according to line spectrum model simulation, and verifying generation and setting of a data set; an overall architecture and key components of the FRCRN based on deep learning; designing a loss function of combining the CIRM with a weight scale invariant signal-to-noise ratio (SI-SNR); according to the method, the phase undistorted line spectrum enhancement of the underwater target sound source is successfully realized by utilizing the FRCRN. The method has remarkable advantages in the aspects of distortion-free performance and signal-to-noise ratio gain, and the SNR and the SI-SNR can achieve the gain of 7dB or above under the condition of color noise simulation. After the SwellEx-96 sea test data line spectrum is enhanced, the SNR gain and the SI-SNR gain can be respectively improved by 5.37 dB and 6.18 dB, and the target orientation estimation spatial spectrum gain is improved by 3.79 dB.

A signal processor and corresponding method compensate for phase noise in a received digital signal. The signal processor comprises a first stage of a phase noise compensator that computes a phase delay of the received digital signal and generates a partially phase-noise-compensated digital signal by applying to the received digital signal the phase delay computed. The signal processor further comprises a second stage of the phase noise compensator coupled to the first stage. The second stage computes a set of components of the partially phase-noise-compensated digital signal, determines, on a per-component basis, a respective phase distortion for components of the set of components computed, computes a set of corrected components by applying, on the per component basis, the respective phase distortion determined, and generates a further phase-noise-compensated digital signal based on the set of corrected components computed. Compensating for phase noise may improve the efficiency and accuracy of communication systems.

The invention discloses an underwater target positioning method and system based on dynamic error suppression, and a terminal, and the method comprises the steps: obtaining a vibration signal of an underwater target through a distributed optical fiber sound wave sensing technology, obtaining a rough position of the underwater target according to the vibration signal, and carrying out the positioning of the underwater target according to the rough position; obtaining a first time difference through a sound field propagation phase compensation model, and correcting the phase distortion of the rough position according to the first time difference to obtain a first accurate position; acquiring strain data of the optical fiber, obtaining an actual curvature radius of the sound wave propagation path by using the strain data, obtaining a second time difference according to the actual curvature radius, and correcting the deformation of the optical cable at the first accurate position according to the second time difference to obtain a second accurate position; dynamically compensating the sound path difference according to the second time difference to obtain a corrected sound path difference, and obtaining a final accurate position according to the corrected sound path difference; and performing coordinate conversion on the final accurate position to obtain a real coordinate. According to the invention, the precision of underwater target positioning is obviously improved.

The invention discloses a high-linearity and high-power GaAs HBT (Heterojunction Bipolar Transistor) power amplifier with a power detection function. The high-linearity and high-power GaAs HBT power amplifier comprises a radio frequency path, a bias module and a power detection circuit, the radio frequency path is used for performing power amplification on a radio frequency signal, improving the stability and expanding the bandwidth by using a negative feedback network, and improving the overall linearity by second harmonic suppression; the bias circuit is used for providing bias voltage dynamically changing along with input power for the three-stage amplification circuit, so that the problems of linearity deterioration and current instability caused by a self-heating effect under high-power input of the GaAs HBT transistor are solved, and amplitude-amplitude distortion and amplitude-phase distortion of the power amplifier are improved; and the power detection circuit is used for outputting a direct-current voltage which is positively correlated with the output power so as to realize accurate control on the output power of the power amplifier. According to the invention, negative feedback, dynamic bias and harmonic suppression technologies are fully combined, and the overall linearity of the amplifier is effectively improved.

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 discloses a broadband power amplifier with an output reconfigurable network, and relates to the technical field of microelectronics, the broadband power amplifier with the output reconfigurable network adopts a three-stage amplification circuit with a gate width ratio of 1: 2: 8, and signal pre-amplification and gain improvement are realized through the first two stages of amplifiers; the last-stage eight-tracheid parallel structure outputs saturated power under high-voltage power supply and realizes power additional efficiency; the output reconfigurable network is controlled by a first switch and a second switch, the first switch is turned off and the second switch is turned on in a high-power mode, so that a compensation microstrip line is grounded to form a fundamental wave matching branch knot, the loss of a harmonic suppression network is avoided, and high-efficiency output is guaranteed; in a low-power mode, the first switch is switched on, the second switch is switched off, the first LC resonance unit and the second LC resonance unit jointly form a band-stop filtering network, secondary and third harmonic impedance is adjusted to be in a near-short-circuit state, so that generation of higher harmonics is restrained, phase distortion is offset through the compensation microstrip line, and the integrity of fundamental wave signals is maintained.

The invention provides an intelligent compensation method for a continuous variable quantum key distribution channel of a high-altitude platform, and relates to the technical field of quantum communication, and the method comprises the steps: obtaining a current light intensity distribution diagram of a to-be-compensated channel link, inputting the current light intensity distribution diagram into a constructed atmospheric turbulence phase prediction model, predicting phase distortion caused by turbulence in the to-be-compensated channel link to obtain a phase prediction result; and compensating the to-be-compensated channel link by using the phase prediction result. The network architecture of the atmospheric turbulence phase prediction model comprises an input layer, a feature extraction module, a small sample learning module, a dynamic optimization module and an output layer which are connected in sequence. According to the invention, the problem of poor correction precision in the traditional optical correction technology is effectively solved, and the efficiency and stability of the high-altitude platform CV-QKD channel are improved.

The invention relates to the technical field of audio processing, and discloses a voice recognition method and system based on a neural network, and the method comprises the steps: firstly obtaining a real-time audio stream of a target scene, extracting a time-frequency feature group, analyzing a pulse coding sequence, and constructing a voice network architecture; identifying an acoustic feature cluster by using the acoustic feature cluster, matching a preset framework hierarchical topological relation, and optimizing node weight to generate an adaptive mapping network; based on this, analyzing a sound source propagation path, identifying a multipath effect factor, calculating a frequency domain coupling coefficient, and performing hierarchical fusion to obtain a mixed feature tensor; querying a tensor adaptive response trajectory, extracting a phase distortion feature and a signal-to-noise ratio index, and calculating a signal-to-noise attenuation entropy; and finally, determining a robust recognition level, reconstructing a sound source acquisition dimension and formulating a sound recognition scheme. According to the invention, the voice recognition precision in a complex environment can be improved.

The invention provides an inverse Q filtering seismic processing system based on artificial intelligence, and the system comprises a historical Q calculation module which calculates a depth domain Q value sequence through a Lee empirical formula, and converts the depth domain Q value sequence into a corresponding frequency band depth domain Q value sequence in combination with a seismic wave dominant frequency; the time-depth conversion module is used for performing convolution on the seismic wavelets and the reflection coefficients to generate synthetic seismic records, and converting a depth domain Q value sequence into a time domain Q value sequence by using a time-depth relationship; the model construction module is used for training a convolutional neural network to generate a Q prediction model by taking the amplitude, the frequency, the phase and the time domain Q value of historical seismic waves as training data; and the inverse Q filtering processing module inputs the multiband parameters of the current seismic wave to the Q prediction model, outputs a time domain Q prediction value, and performs multiband compensation on amplitude attenuation, frequency loss and phase distortion of the seismic wave by adopting an inverse Q filtering formula. According to the method, the defect of insufficient precision of a traditional Q compensation method is avoided, and the calculation efficiency is greatly improved.

The invention belongs to the technical field of optical measurement, and particularly relates to a digital holographic microscopy system phase distortion correction method based on adaptive optics, which has the advantage that optical wave complex amplitude information can be acquired in a wide field by means of digital holographic microscopy, and uses a distortion phase image measured by a digital holographic microscopy system as input to correct phase distortion of the digital holographic microscopy system. And iterating the image by using an optimization algorithm until the image evaluation function converges, and obtaining a correction pattern for removing phase distortion. And uploading the correction pattern to a self-adaptive correction device and modulating the wavefront of the light wave to finally realize accurate compensation of phase distortion. The method can provide an in-situ, accurate and rapid phase distortion correction mode and means for the field of optical microscopic imaging, especially the field of quantitative phase imaging.

The invention discloses a light off-axis structured light digital holographic microscopy super-resolution imaging method based on a Kramers-Kronig relation. In a light off-axis structured light digital holographic microscopy system, structural illumination patterns with different angle directions and phase shift amounts are loaded on an object light beam to acquire a structural illumination hologram, and an unloaded reference light beam is acquired to acquire a reference light intensity graph; the structure illumination hologram is combined with the reference light intensity graph to calculate complex amplitude by utilizing a KK relation, phase distortion of the complex amplitude is compensated to obtain distortion-removed complex amplitude, a frequency spectrum separation matrix is constructed by combining information during acquisition to perform frequency spectrum separation on high and low frequency components in the complex amplitude, and finally frequency spectrum synthesis is performed to realize super-resolution object light reconstruction. According to the invention, high resolution improvement can be realized, the interference problem of zero-order item frequency spectrum of the hologram under the light off-axis condition is effectively solved, the noise is obviously reduced, the imaging quality is improved, and the method has important application value in the fields of biological tissue observation, microstructure measurement and the like.

The invention discloses a power supply detection device and a test method thereof, particularly relates to the field of power electronic control, and is used for solving the problems of high-frequency phase distortion and incapability of reflecting a stability boundary under a real load dynamic state in an open-loop state caused by introduction of additional impedance due to disconnection of a loop in an existing open-loop injection test method. A switching node voltage ripple signal is synchronously collected as a disturbance input signal and an output voltage feedback signal is synchronously collected as a response output signal in a power supply closed-loop state; performing time domain alignment on the two signals to generate a time correlation signal pair; fourier transform is carried out on the signal pair to extract open-loop transfer function characteristics; mapping the characteristics to an intersection phase angle of a Nyquist plane identification curve and a unit circle; generating a chaos distortion index based on the local curvature change characteristics of the Nyquist curve of the intersection neighborhood; and correcting the phase angle of the intersection point by using a chaotic distortion index, and outputting a loop stability evaluation conclusion according to a correction result, thereby realizing high-precision stability evaluation of uninterrupted closed-loop control.

A diffractive wavefront processor approximates the all-optical phase conjugation (OPC) operation for input fields with phase aberrations. A set of passive diffractive layers was optimized to all-optically process an arbitrary phase-aberrated input field, producing an output field with a phase distribution that is the conjugate of the input wave. Operation of the wavefront processor was experimentally validated by using fabricated diffractive layers trained using deep learning and performing OPC on phase distortions never seen during training. The diffractive wavefront processor successfully performed the OPC task through a shallow volume that axially spans tens of wavelengths. A diffractive phase-conjugate mirror was also created by combining deep learning-optimized diffractive layers with a standard mirror. The diffractive wavefront processor can be used for diverse OPC-related applications, e.g., turbidity suppression and aberration correction, and is also adaptable to different spectral bands of the electromagnetic spectrum.

The invention discloses a power line carrier and wireless dual-mode fusion communication method, which relates to the technical field of communication, and comprises the following steps: synchronously acquiring a three-phase power line carrier signal and a wireless signal, and generating a wireless available spectrogram; a plurality of power line basic modes are separated from the power line carrier signals, power line effective modes are screened out after mode effectiveness judgment, and orthogonality loss degrees and phase deviations of the power line effective modes are combined into power line feature vectors; based on the wireless available spectrogram, a wireless basic mode is generated, access condition screening is carried out, a wireless effective mode is screened out, and time delay spread and spectral efficiency of the wireless effective mode are combined into a wireless feature vector; the method comprises the following steps: constructing a similarity matrix, taking the similarity matrix as a cost matrix, matching an optimal mode pair of a power line effective mode and a wireless effective mode, determining a modulation mode according to a matching result, and solving the limitation of multipath phase distortion, spectrum conflict and static channel estimation.

The invention discloses a broadband signal amplitude and phase correction method based on joint error compensation, which is characterized in that waveform nonlinearity caused by a hardware circuit is compensated by using a reference channel technology, amplitude and phase errors are estimated and compensated in a broadband synthesis process by using a joint error compensation method, and finally distortion correction is performed through a frequency domain correction algorithm. Amplitude and phase correction processing of broadband signals is achieved, the imaging resolution is improved, amplitude distortion and phase distortion are reduced, and a clearer and more accurate target image is obtained.