484 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 discloses a two-dimensional modulation interference signal generation method and device, a storage medium and equipment, and belongs to the technical field of radar countermeasure. The method comprises the following steps: a jammer detects and receives a target SAR signal and converts the target SAR signal into a digital SAR signal; generating a phase coding modulation signal and a distance direction frequency shift modulation signal according to the required interference type and the signal parameter; generating an azimuth sine function secondary modulation signal and an azimuth frequency shift modulation signal according to a required interference type and a signal parameter; based on the various generated modulation signals and the digital SAR signals, range modulation and azimuth modulation are completed, and digital interference signals are obtained; and converting the digital interference signal into an analog interference signal, and forwarding the analog interference signal to the target SAR system. According to the invention, distance-direction phase coding modulation, azimuth-direction quadratic sine function modulation and two-dimensional frequency shift modulation are combined, six different types of two-dimensional interference effects can be flexibly generated, and the central position of the interference result can be accurately controlled.

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 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 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 method for estimating parameters of a ground phase-coded radar interference source based on an SAR image. The method comprises the steps of deriving a corresponding relation between phase-coded interference parameters and SAR image features and estimating the parameters. According to the method, the corresponding relation between the pulse width, the bandwidth, the carrier frequency and the repetition frequency of the interference signal and the interference characteristics on the SAR image is determined according to the mathematical relation, the problems of unclear mathematical expression, unclear parameter corresponding relation and the like on the phase coding radio frequency interference SAR image are solved, and the interference fringe parameters on the SAR image are estimated and the corresponding relation is obtained through derivation, so that the interference fringe parameters on the SAR image are estimated. And inversion of interference source parameters of the ground phase-coded radar is realized. Simulation results show that parameters such as pulse width, bandwidth, carrier frequency, repetition frequency and the like of phase coding radio frequency interference can be accurately estimated; the method can be applied to estimating parameters such as pulse width, bandwidth, carrier frequency, repetition frequency and the like of a phase-coded signal from an SAR image interfered by a ground same-frequency phase-coded radar signal.

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 super-resolution imaging system and a super-resolution method based on phase coding, which are used for improving the imaging resolution and the imaging signal-to-noise ratio of a visible light imaging system. The system is composed of an imaging main lens 1, a first 4f relay lens 2, a phase mask plate 3, a second 4f relay lens 4, a camera 5 and an electric rotating table 6, and a system transfer function has anisotropy on a certain frequency component by optimally designing a phase function of the phase mask plate. The phase mask plate 3 is controlled to rotate and regulate through the electric rotating table 6, a series of coded low-resolution images are collected through the camera 5, combined constraint iteration of the spatial domain and the frequency domain is combined, the collected images are reconstructed until algorithm convergence is achieved, and a reconstructed image breaking through Nyquist sampling is obtained. Compared with the method based on intensity mask coding, the method has the advantages that anisotropy regulation and control of the point spread function can be realized under the condition that luminous flux is not lost, and the imaging resolution is improved by more than 2.5 times.

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 relates to the technical field of biomedical ultrasonic imaging, and discloses a Doppler imaging method and system based on multi-angle plane wave Hadamard coding, and the method comprises the steps: transmitting N groups of ultrasonic waves which are subjected to phase coding through Hadamard coding into a blood flow imaging region, each group of ultrasonic waves comprises N continuous plane waves which are different in angle and are separated by a preset time delay, N groups of ultrasonic echo signals are collected and decoded to obtain ultrasonic echo signals, and the step is repeatedly executed to obtain continuous multi-angle ultrasonic echo signals; moreover, according to the continuous multi-angle ultrasonic echo signals, an instantaneous blood flow image signal corresponding to the time window is obtained; a matrix equation set is constructed and solved to obtain the blood flow vectorization speed, a blood flow vector speed field transient image is generated, and / or a blood flow vector speed field dynamic change image is displayed. According to the method, the signal-to-noise ratio of plane wave imaging and the imaging sensitivity to weak blood flow signals can be remarkably improved.

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 present invention relates to the technical field of radar signal waveform design. Disclosed are a signal determination method based on a quantum genetic algorithm, a quantum computing device based on a quantum genetic algorithm, and a medium. The method comprises: constructing quantum bits on the basis of the number of phase coding radar signals transmitted by a radar system, the length of the phase coding radar signals transmitted by the radar system, and the number of chromosomes; determining gene sequences of first chromosomes on the basis of all the quantum bits; determining whether a first chromosome meeting a preset termination condition is present in all the first chromosomes; if yes, taking the first chromosome meeting the preset termination condition as a phase coding radar signal transmitted by the radar system; if not, updating all the first chromosomes on the basis of the mutation probability, a preset crossover strategy, a quantum catastrophe strategy, and a rotation angle to obtain second chromosomes; replacing all the first chromosomes in each population with all the second chromosomes, returning to the determination step, and ending the operation until the termination condition is met. The local optimal solution is avoided, and the search quality and the search efficiency are improved.

The invention belongs to the technical field of optical fiber sensing, and discloses a distributed optical fiber sensing system and method. A narrow linewidth laser is used for emitting continuous laser, a coupler is used for dividing the continuous laser into two paths, one path serves as a local oscillator signal to be input into a receiving unit, and the other path serves as a detection signal to be input into a second modulation unit; the first modulation unit is used for generating an electric modulation signal, and the second modulation unit introduces random phase coding under the action of the electric modulation signal, modulates the amplitude and phase of a detection signal and outputs pulsed light; the amplified pulsed light is output to an optical fiber through a circulator, and a Rayleigh backscattering signal generated by the optical fiber is output to a receiving unit; performing beat frequency on the local oscillator signal and the Rayleigh backscattering signal by using a receiving unit to generate an electric signal; and the data acquisition unit is used for acquiring sensing information. The system has the capability of measuring the power and phase distribution of Rayleigh backscattering signals at the same time, and functions which can be completed by two sets of systems originally can be completed by one set of system.

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 relates to a high-resolution D-glucose structure analysis method based on a nuclear magnetic resonance spectrum, which comprises the following steps: placing a 2-5% D-glucose deuterium aqueous solution in a magnetic resonance spectrometer, and applying a 90-degree hard pulse to obtain a 1H spectrum; chemical shift information and 90-degree pulse time width of the proton pair are determined through a 1H spectrum, multi-frequency-point pulse selective filtering is executed, and a signal in a chemical shift area of the proton pair is obtained; separation and phase correction of multi-quantum signals are carried out through a multi-quantum filtering module and a CLIP-COSY module, and two one-dimensional nuclear magnetic resonance phase-sensitive correlation spectrums are obtained; and analyzing the phase-coded signal through Hardman coding to reveal the molecular structure of D-glucose. Through selective filtering and phase encoding, the invention provides an efficient and lossless nuclear magnetic resonance detection method for analyzing a D-glucose molecular structure.