400 results about "Phase coding" patented technology

The invention provides a processing method and system for reconstructing an LDI sub-pixel image through sparse compression and application, and the method comprises the steps: calculating a low-resolution to-be-exposed image corresponding to each phase structure in advance through a computer image compression algorithm; the low-resolution to-be-exposed images obtained through calculation are loaded to the digital micro-reflector according to the time sequence, and the display moment of each pattern is matched with the rotation position of the corresponding phase structure; coupling the pattern of the digital micro-mirror and the phase encoding mask in a frequency domain through a 4-f optical system, and reconstructing a high-resolution exposure pattern at a sub-pixel level by utilizing a diffraction effect; projecting a high-resolution light field of the reconstructed high-resolution exposure pattern to the surface of the photoresist, and forming a target circuit pattern by accumulating exposure dose; and the micro-nano structure with sub-pixel precision is obtained after development. The system comprises an image compression module, a pattern matching module and a pattern forming module. According to the invention, the manufacturing cost of the laser direct imaging equipment is reduced under the condition of the same precision.

The invention relates to the technical field of ultra-far offshore data transmission, and discloses an ultra-far offshore distance real-time data stable transmission method and system. The method comprises the following steps: acquiring target transmission link data, and extracting dynamic fluctuation characteristics containing signal strength distribution information and a delay jitter relationship from the target transmission link data; calling the trained channel estimation network to carry out signal positioning processing on transmission link data, and generating a signal transmission path set containing a channel type identifier and phase code mapping relation; based on the set, calling a waveform analysis network to perform multi-modal feature fusion on the signal intensity distribution information to obtain a fusion result containing time-frequency domain features and modulation mode features; and inputting a fusion result into a transmission strategy model to perform dynamic path selection, and outputting a real-time data transmission element containing a control instruction generated based on a signal transmission sequence and a phase self-calibration parameter. According to the method, stable transmission of real-time data under the ultra-far offshore distance can be realized.

A hybrid neural network architecture is disclosed that integrates matrix multiplication-free (MatMul-free) transformation layers with spiking neural network (SNN) layers for efficient, low-power computation. The system includes an interface module configured to convert intermediate continuous-valued data from MatMul-free layers into a spike-compatible format using encoding techniques such as rate coding, phase coding, or threshold-based conversion. The SNN layers process the spike-encoded data in an event-driven manner, enabling sparse, temporal inference. Training is supported by a hybrid optimization strategy combining backpropagation in MatMul-free components with surrogate gradient descent or spike-timing-dependent plasticity (STDP) in SNN layers. The architecture reduces computational complexity, supports real-time adaptability, and enables deployment in energy-constrained environments such as edge devices and neuromorphic platforms. The system may be implemented in hardware, software, or a co-designed pipeline optimized for dynamic sensor data, control signals, or continuous inference tasks.

The invention discloses a hierarchical cooperative control method for a cascaded H-bridge frequency converter, and the method comprises the steps: distributing a disturbance signal following a spiral phase coding rule for each H-bridge unit, and enabling the vector sum of the phase of the group of signals to generate a plurality of energy quasi-zero moments in a preset disturbance period through design; at the quasi-zero moment when the energy is greatly suppressed, synchronously triggering all units to perform high signal-to-noise ratio data acquisition, and accurately identifying transient parameters representing dynamic characteristics of each unit based on the acquired data; and finally, performing closed-loop adjustment on an upper-layer power distribution strategy, a bottom-layer current loop and the like according to the identified transient parameters so as to compensate the dynamic response difference of each unit. According to the method, high-precision online parameter identification can be realized on the premise of not influencing stable operation of the system, and the power balance capability and transient stability of the system are remarkably improved.

The invention discloses a method for switching between a first communication mode and a second communication mode, and the method comprises the steps: determining a dual-mode phase difference between a first mode baseband signal and a second mode parameter based on the first mode baseband signal and the second mode parameter; generating an interleaved phase coding sequence in response to the dual-mode phase difference; pre-modulating the first mode signal in parallel before switching by using the coding sequence, and generating a pre-activated second mode virtual signal; switching from the first mode to the second mode is executed based on a parallel fusion phase track generated after the phases of the two preprocessed signals are subjected to time-varying weighted fusion. According to the method, a smooth switching track is constructed through parallel phase preview and phase domain fusion, phase continuity and frequency stability in the switching process are ensured, switching time delay and the data error rate are remarkably reduced, and the communication service quality of the heterogeneous network is improved.

The invention relates to the technical field of LED display, and discloses an LED display color calibration method, device and system. The method comprises the following steps: applying a reverse test voltage to LED pixels in an LED display panel in a display frame blanking period, and calculating a real-time junction temperature value and a service life state value of each LED pixel; discrete phase coding reconstruction is carried out on the original display driving signal to obtain a temperature self-adaptive driving compensation signal; a temperature-sensitive fluorescent composite material layer is arranged on a substrate layer of an LED display panel, and the temperature-sensitive fluorescent composite material layer is activated through blue light components emitted by LED pixels to obtain an optical passive compensation spectrum; dividing the LED display panel into a plurality of independent control areas and generating an inter-area cooperative compensation parameter set; and constructing a pixel-level point diffusion compensation function and performing spatial domain dynamic compensation to obtain an LED display output image after color calibration. According to the invention, the problem of non-uniform area caused by manufacturing batch difference of a large-size display screen is effectively solved.

The invention provides a civil structure deformation anomaly detection method based on time series data, and relates to the field of civil structure deformation anomaly detection. A disturbance intensity response value, a disturbance curvature and a local disturbance folding feature are constructed, a range adjustment enhancement value is formed by combining a symbol jump mark and a neighborhood disturbance difference value, a latent guide feature is generated based on the range adjustment enhancement value, a disturbance reconstruction feature is constructed through superposition of a diffusion residual error and an asymmetric difference item, normalization mapping is completed to obtain a normalization feature, and the normalization feature is obtained. A disturbance spinor modulation factor is constructed in combination with a nonlinear suppression correlation coefficient, a disturbance spinor tensor is formed through a logarithmic compression channel and a square amplification channel and by applying quadrature phase coding, a tensor potential mapping map is generated under a path coupling and self-coupling mechanism, disturbance energy offset and extreme value deflection are constructed based on the tensor potential mapping map, and disturbance energy offset and extreme value deflection are obtained. And a probability potential index is formed, and civil structure deformation anomaly detection model training is completed based on the probability potential index, so that civil structure deformation anomaly detection is realized.

The invention discloses a communication-detection integrated sonar signal design method and device based on multi-pulse composite modulation, and the method comprises the steps: dividing a total frame period into a detection sub-frame and a communication sub-frame, enabling the detection sub-frame to achieve the high-resolution distance measurement through employing a bidirectional linear frequency modulation (BILFM) signal, a communication sub-frame adopts a multi-frequency multi-phase composite modulation (MTPM) signal to realize high-bit-rate data transmission; after band filtering, orthogonal demodulation, low-pass filtering and down-sampling preprocessing are carried out on detection sub-frame echoes, distance and speed information is extracted by adopting fast-time low-sampling two-dimensional fast Fourier transform (2D-FFT), unambiguous Doppler frequency is recovered by utilizing the Chinese remainder theorem (CRT), and accurate speed measurement of long-distance and high-speed targets is realized; a communication subframe receiving signal is subjected to IQ demodulation after down-conversion, Costas loop carrier synchronization and matched filtering, and multi-frequency multi-phase coded data are extracted. According to the method, the time-frequency collaborative design of detection and communication is realized, the distance resolution and the speed measurement range are considered, and the signal bandwidth utilization rate and the underwater information transmission reliability are remarkably improved while the system complexity is kept low. The device comprises a processor and a memory, and an executable program for implementing the method is stored in the memory. The technology can be widely applied to the fields of unmanned underwater vehicles, ocean monitoring, underwater sensing networks and the like.

The invention discloses a phase coding-based non-third-party quantum multi-party privacy set intersection method and application, and belongs to the technical field of quantum privacy calculation. An existing quantum private set intersection scheme mostly aims at a two-party scene or depends on a third party to realize confidential intersection, and potential safety hazards are easily caused by constructing a trusted third party in practical application. In order to solve the problem, the invention provides a quantum intersection protocol for multiple participants, and the protocol effectively realizes intersection calculation of private sets of the participants through a quantum state phase encoding technology. And meanwhile, comprehensive correctness and security analysis is performed on the protocol, and the feasibility and security of the protocol are verified through a Qiskit simulation protocol core process. The method not only can efficiently solve the problem of intersection of multi-party private sets and obtain public elements on the premise of protecting the privacy of each party, but also can be used as a basic module in a multi-party cooperative computing application scene, and is wide in application range.

The invention discloses a transformer area current characteristic identification method based on a correlation peak judgment method, and the method comprises the steps: collecting the synchronous phase information of a power grid, and generating and injecting a unique phase coding characteristic signal; current signals are collected at key nodes of the transformer area, and phase information is extracted; constructing a dynamic self-adaptive phase relation network, and extracting a feature vector with topology invariance; correlation analysis is carried out on the extracted feature vectors and a standard template, and an identification result is determined through adaptive correlation peak judgment; and dynamically adjusting system parameters according to an identification result. The method of combining phase coding and topology invariant features is adopted, and the method has the advantages of being high in anti-interference capacity, good in environment adaptability and high in recognition precision.

The invention belongs to the technical field of signal processing, is suitable for the medical field and the financial field, and discloses an audio signal encoding and decoding method and device based on a neural network, equipment and a medium. The method comprises the following steps: respectively inputting an initial amplitude spectrum and an initial phase spectrum corresponding to an audio signal to be processed into an amplitude encoder and a phase encoder for parallel feature coding; inputting a target coding vector of the audio signal to be processed into a residual vector quantization module for quantization processing to obtain an amplitude implicit vector and a phase implicit vector of the audio signal to be processed, and respectively inputting the amplitude implicit vector and the phase implicit vector into an amplitude decoder and a phase decoder for parallel decoding, obtaining an initial amplitude spectrum and an initial phase spectrum; and performing inverse short-time Fourier transform processing on the initial amplitude spectrum and the initial phase spectrum of the audio signal to be processed to generate a reconstructed audio signal. According to the invention, the tone quality and efficiency of the audio codec at a low bit rate are effectively improved.

A wavefront coding and deep learning-based joint optimization image reconstruction method belongs to the technical field of image reconstruction, and aims to solve the problem of limited image reconstruction effect caused by independent processing of an image degradation process and an image reconstruction process in the prior art. The method comprises the following steps: building a decoding network model, preparing a data set, training a joint optimization network model, and testing an image reconstruction effect. Based on a collaborative optimization mechanism of a cubic phase coding plate and a deep neural network, wavefront coding parameters are introduced into a neural network training process by combining realizability of a cubic phase coding device, so that the wavefront coding parameters and network weight parameters are synchronously optimized. By guiding the input of the blurred image, more stable and consistent training input is provided for the deep learning network, and the convergence speed and generalization ability of the model are improved. And a decoding structure based on fusion of residual connection and an attention mechanism is adopted, so that the reconstruction precision and the visual quality are remarkably improved.

The invention relates to a liquid crystal phased array dynamic star finding control method based on holographic phase coding. The method comprises the following steps: acquiring an expected beam pointing angle of a target satellite relative to an antenna array; generating a two-dimensional phase matrix suitable for a liquid crystal phased array based on the expected beam directional angle; performing temperature compensation on the two-dimensional phase matrix, converting the two-dimensional phase matrix into a digital driving level, and loading the digital driving level to a liquid crystal driving circuit; a radio frequency beam pointing to the expected beam pointing angle is formed through radiation of the liquid crystal phased array antenna panel; and beam pointing errors are detected in real time according to downlink signal characteristics and are compensated. The liquid crystal phased array dynamic star finding control method based on holographic phase coding shows remarkable technical progress and practical advantages in multiple aspects; according to the method, a high-performance and high-reliability dynamic beam pointing system is constructed through key technologies such as holographic phase coding, real-time temperature compensation, high-speed calculation and closed-loop feedback, and the method is particularly suitable for high-dynamic scenes such as high-speed mobile carriers and low-orbit satellite communication.

The invention provides a metasurface-based method for performing effective phase encoding on incident light at any space angle, and belongs to the technical field of micro-nano optics and integrated photonics. According to the invention, the metasurface atomic displacement is associated with any predefined angle of the space incident light, and the gradient descent algorithm is adopted to optimize the phase matrix, so that effective phase coding in the whole angle space is realized. As a concept verification, the invention shows an omnidirectional angle multiplexing super-structure holography for any space light incidence, successfully realizes an augmented reality holographic image with as many as 22 channels, and proves that meaningful phase coding is realized by any incident angle degree of freedom, and the holographic image has the advantage of high signal-to-noise ratio. The arbitrary full-angle multiplexing holography shows good application potential in practical application aspects such as data storage, virtual / augmented reality and optical encryption.

The invention provides a brain-controlled unmanned aerial vehicle group method based on brain-computer deep collaborative fusion. The method comprises the following steps: firstly, designing a steady-state visual evoked brain control signal acquisition normal form, and generating a visual stimulation signal through combined frequency-phase coding; secondly, the electroencephalogram signals are preprocessed through filtering, independent component analysis and the like; then, constructing an intention decoding network with deep fusion of space-time frequency features, extracting multi-scale features of the electroencephalogram signals by using a convolutional neural network, and performing deep fusion decoding through a space-time frequency Transform module to realize accurate prediction of brain control intention; thirdly, a virtual pilot algorithm and an artificial potential field algorithm are used for flight decision making of the unmanned aerial vehicle group; and finally, displaying the flight state of the unmanned aerial vehicle in real time through a visual interface constructed by PyQt5. The method has the advantages that the brain control intention of the user can be accurately decoded, the formation control and obstacle avoidance capability of the unmanned aerial vehicle group is effectively improved, and meanwhile, a visual interface and personalized setting are provided.

The invention discloses an underwater polarization imaging device and method based on interference-free coded aperture correlation holography, and belongs to the field of computational optical imaging. According to the technical scheme, on the basis of an interference-free coded aperture correlation holographic system, two light paths are utilized, a target object hologram and a point spread function are synchronously collected through cross-polarization double light paths (0 degree and 90 degrees), after target information light is separated out through an underwater polarization imaging model, low-frequency background noise is filtered out through a nonlinear filtering reconstruction algorithm, and the target object hologram and the point spread function are obtained. And the phase-coded high-frequency object structure information is reserved, and the global estimation precision is optimized. According to the method, a complex optical path of traditional polarization imaging is simplified, the influence of local noise on polarization parameters is avoided, the image definition and the signal-to-noise ratio in a turbid underwater environment can be effectively improved, and the method is suitable for high-scattering scenes such as marine resource exploration, underwater robot navigation and military underwater target detection.

The invention discloses a point cloud segmentation method, which comprises the following steps that: two-dimensional masks of image frames are extracted frame by frame, the image frames are pictures of an object to be reconstructed shot from different visual angles, and the two-dimensional mask extracted from the previous image frame can be transmitted to the subsequent image frame; the method comprises the following steps: acquiring fringe image sequences of a to-be-reconstructed object at different visual angles, extracting phase information, generating a multi-visual-angle phase coding diagram of the to-be-reconstructed object, performing epipolar correction on the phase coding diagrams at different visual angles to eliminate geometric distortion at different visual angles, and calculating parallax of the same name point at different visual angles to obtain the multi-visual-angle phase coding diagram of the to-be-reconstructed object. Calculating a depth value of an object point corresponding to the homonymy point according to the parallax, and obtaining depth value data of the object to be reconstructed; and obtaining a two-dimensional contour according to the two-dimensional mask of the to-be-reconstructed object, calculating the depth value of the two-dimensional contour of the to-be-reconstructed object pixel by pixel according to the depth value data of the to-be-reconstructed object, mapping the two-dimensional contour information of the to-be-reconstructed object to a three-dimensional space, generating the three-dimensional contour of the to-be-reconstructed object of the current frame, and realizing point cloud segmentation.

The invention provides a profile steel-UHPC combined bridge deck bending resistance detection method based on visual detection, and the method comprises the steps: obtaining an optical image of a bridge deck concrete surface, extracting texture sparse region distribution features based on gray gradient, and generating a surface characteristic distribution diagram; generating phase coding stripes according to the surface characteristic distribution diagram, projecting the phase coding stripes to the concrete surface, collecting a distortion image and calculating a calibration parameter; adjusting projection equipment by adopting the calibration parameters, projecting the calibration parameters to an undeformed surface, establishing a space coordinate system, and recording a coded image; after a load is applied, a deformation image is collected, a displacement vector is calculated, and a three-dimensional deformation field is reconstructed; an interface displacement vector is extracted from the three-dimensional deformation field, bending stress distribution is calculated, and a stress distribution diagram is generated; and grid division is performed on the stress distribution diagram, statistics is performed on stress characteristic values of all units, and the bending resistance bearing capacity of the bridge deck is evaluated according to the stress characteristic values and a preset threshold value.

The invention belongs to the technical field of data processing and analysis, and particularly relates to a geomagnetic and inertial navigation fused glasses guide direction identification and content triggering system, which comprises a sensing compensation component, a calculation storage component, a guide resource component and a display component, the sensing compensation assembly comprises an inertial measurement unit, a geomagnetic sensor, an active magnetic compensation coil and a coil driving module; the calculation storage assembly comprises a control processor and a memory, and the control processor is used for driving the active magnetic compensation coil to obtain a coil compensation geomagnetic vector according to a phase coding zero-returning sequence, executing attitude propagation based on the inertial measurement unit, and executing course updating on the coil compensation geomagnetic vector based on Huber anti-outlier loss to obtain a head attitude. According to the invention, the influence of magnetic disturbance and attitude jitter on direction identification and content triggering can be effectively reduced, and the stability, consistency and practicability of the glasses guide system in a real use scene are improved.

The invention discloses a label printing equipment abnormity diagnosis method based on multi-modal fusion, and the method comprises the steps: collecting multi-modal data, and generating a label path phase coding sequence; based on label path phase coding, locking alignment is executed on the multi-modal data, and unification is performed until a phase coordinate system is synchronized; inputting synchronous multi-modal data, inverting the slip amount, the elongation rate and the speed difference of the coiled material, and outputting implicit physical variables; constructing a three-domain hybrid diagnosis network which comprises phase, time and visual branches, and extracting a multi-modal feature vector; setting phase-physical consistency gating, performing sparse selection and routing on the sub-experts, and outputting a candidate feature set; and a phase alignment attention mechanism is adopted, candidate features are fused, and abnormal types, confidence coefficients and station positioning are output. Through multi-modal data phase alignment, physical constraint inversion and cross-domain fusion, high-precision anomaly diagnosis and intelligent deviation correction of the label printing equipment are realized.

The invention discloses a laser radar control system and method, and relates to the technical field of laser radar control. The method comprises the following steps: generating a laser radar multi-modal noise basis matrix through quantum-classical noise fusion modeling; generating a laser radar joint pulse phase code based on the noise distribution of the laser radar multi-mode noise floor matrix; laser radar space-time marking echo data are collected according to the phase parameters of laser radar combined pulse phase coding; the method comprises the following steps of: generating a laser radar multi-dimensional target feature tensor by taking laser radar space-time marking echo data as an original signal; outputting a laser radar enhanced target point cloud based on the time frequency-space features of the laser radar multi-dimensional target feature tensor; and laser radar space-time mark echo data and laser radar joint pulse phase coding are updated, so that the problems of noise processing, target feature extraction, point cloud quality, system optimization and the like in the use process of an existing radar control method are solved.

This application provides a signal transmission method, a communication apparatus, and a communication system, that serve to suppress interference between signals of a plurality of transceivers sharing a same resource. In the method, a first apparatus generates parameter information and sends the parameter information to a second apparatus, such as a transceiver. The parameter information may be determined based on one or more multiplexing modes. The parameter information indicates a value of at least one of a time shift of a time for transmitting a frequency modulated continuous wave (FMCW) signal relative to a reference time, a slope of the FMCW signal, a plus-minus sign of the slope, and a coding parameter used to generate the FMCW signal through phase coding. The second apparatus receives the parameter information and, generates the FMCW signal based on the received parameter information, and sends the FMCW signal.

The invention discloses a motor state detection method, device and equipment based on coding and a medium, and belongs to the technical field of manipulators. The method comprises the following steps: receiving an electric pulse signal in real time; wherein the electric pulse signal is obtained by converting an optical signal passing through the light shielding plate; generating a detection code according to the electric pulse signal; determining a target phase according to the detection code and a pre-constructed association relationship between a phase code and a motor phase; wherein the number of the phase codes is at least two; and determining the running state of the motor according to the target phase. According to the technical scheme, the motor phase information is converted into the phase codes capable of being accurately recognized, the signal distortion situation caused by mechanical vibration, oil stain shielding and other factors can be effectively resisted, higher detection precision, higher anti-interference capacity and more flexible expansibility are achieved, and reliable guarantee is provided for intelligent and accurate operation of the mechanical arm.

The invention relates to a method for correcting geometric distortions of thermometry data in magnetic-resonance imaging obtained by means of fast echo-planar sequences, comprising the following steps: - a first series (I) of acquisitions of reference images by MRI, with phase encoding in one direction (e.g. R->L), - a second series (II) of acquisitions of thermometry images by MRI, with phase encoding in the opposite direction to step one (e.g. L->R), carried out with imaging parameters identical to those used in the first series, - an estimation (III, IV) of the geometric distortions, on the basis of the magnitude components of the reference images and of the thermometry images thus acquired, so as to determine geometric-distortion correction data, and - an application (V) of the geometric-distortion correction data to thermometry images and / or thermometry results obtained by processing these thermometry images.

The invention discloses a metasurface control architecture design method. According to the method, high and low voltages of each row unit and each column unit of the metasurface array are coded, phase codes of the metasurface array are obtained through a matrix multiplication method, and the control architecture method is called a basic cross control method or a one-area cross control method. Furthermore, according to the method, the metasurface array is divided into a plurality of areas of the basic cross control architecture, so that a multi-area cross control architecture is formed; according to the multi-zone cross control, the number and the zone positions of the zones can be flexibly changed according to the requirements of an actual application scene, so that the pointing precision of a wave beam is regulated and controlled, and meanwhile, the achievable complexity of metasurface control hardware is reduced. According to the invention, on the premise of keeping the specified beam regulation and control precision, the complexity of a metasurface control architecture and the memory occupied space of coding can be obviously reduced, and the application development of the low-cost and high-performance reconfigurable metasurface is promoted.

The invention discloses a radar signal classification method and system based on a quantum classical hybrid convolutional neural network, and belongs to the technical field of quantum calculation and signal processing. According to the scheme, the classic radar signals are sequentially subjected to preprocessing, quantum phase encoding, quantum convolution feature extraction, quantum measurement and classic convolution neural network classification, and high-precision classification of the radar signals is achieved. According to the method, the parallel advantage of quantum calculation on high-dimensional feature extraction and the robustness of a classic neural network on classification decision are fully utilized, the classification accuracy and the anti-noise capability are remarkably improved, and the method is suitable for radar signal processing tasks in a complex environment.

The invention provides a pulse condition modeling enhancement system based on image recognition. The pulse condition modeling enhancement system comprises a pulse position marking module, a pulse image acquisition module, a pulse wave tracking module, a pulse condition structure modeling module and a pulse condition modeling enhancement module. The invention belongs to the technical field of image recognition pulse condition modeling, and particularly relates to a pulse condition modeling enhancement system based on image recognition, which comprises the following steps of: acquiring a pulse image sequence through three-pulse position pre-labeling and high-frame-rate image acquisition; pulse wave propagation features are extracted by adopting an image processing method combining motion amplification and phase encoding, a structured pulse condition model is further constructed, and automatic identification and visual expression of common traditional Chinese medicine pulse conditions are realized by fusing multi-dimensional feature vectors, self-encoding compression and multi-label classification.

An on-chip integrated microwave photonic phase-coded signal generation system relates to the field of microwave photonic technology. The system includes a laser, a power splitter, a radio frequency (RF) switch, a 90° hybrid coupler (HC), a dual-parallel dual-polarization Mach-Zehnder modulator (DP-DPMZM), a polarization-dependent cascaded phase modulator (PDC-PM), a polarization beam splitter, an erbium-doped fiber amplifier, and a photodetector. In this method, the local oscillator (LO) signal is split into two parts by a power splitter. One part is input into the X-DPMZM to obtain the carrier suppression +1st order sideband of the LO signal. The other part is controlled by an RF switch. When the RF switch is off, the Y-DPMZM only outputs an optical carrier; when the RF switch is on, the Y-DPMZM outputs the -1st order sideband of the LO signal. Then, two orthogonally polarized signals are input into the PDC-PM, which is driven by two independent coding signals. When the amplitude and mode of the coding signals are changed, a binary or quaternary phase-coded signal with a carrier frequency equal to or twice that of the LO signal can be obtained through a photodetector.

The invention relates to the technical field of position control feedback, and particularly provides a laser interference feedback positioning system and a positioning method thereof, and the system comprises a wave source phase modulation subsystem, a dynamic path compensation subsystem and a multi-dimensional feedback calibration subsystem. The method comprises the following steps: establishing a dynamic phase encoding model through nonlinear time sequence analysis; an original fixed phase beam of a laser wave source is converted into a tuning beam with space-time correlation, and a phase characteristic matrix of the tuning beam is used as an input parameter of a dynamic path compensator; constructing a compensation field model based on the tuning beam phase feature matrix; generating a dynamic compensation gradient by using the phase characteristic matrix; integrating the dynamic compensation gradient and the environment sensing data of the laser wave source, and constructing a six-dimensional state space calibration model; and outputting comprehensive positioning parameters including the displacement vector, the confidence interval and the environmental stability coefficient. Static measurement of a traditional interferometer is converted into an active regulation and control process with high adaptability and controllable errors.

The invention discloses a power line real-time identification and spatial positioning method based on depth vision assistance, and relates to the technical field of power line real-time identification, and the method comprises the steps: constructing a lead identification and positioning frame with a strong generalization capability through deep fusion of a physical law and a depth vision technology; a vibration propagation model based on a wave equation can accurately capture signal interruption characteristics at a cross point, and a frequency domain fusion mechanism significantly improves the linear structure recovery capability of a backlight scene; dynamic vibration phases are coded into a continuous radiation density function by adopting an implicit neural radiation field technology, and the dependence of traditional point cloud reconstruction on dense sampling is broken through; and a dynamic deformable convolution kernel is introduced to realize self-adaptive tracking of the wire form through a physical deformation model, so that extreme working conditions such as icing can be effectively handled.