894 results about "Signal modulation" patented technology

The invention relates to a signal-to-noise ratio adaptive signal modulation identification method. The method comprises the following steps: inputting IQ information and a signal-to-noise ratio (SNR) estimated value of a signal into a signal modulation identification model, and identifying to obtain a modulation mode of the signal; the signal modulation identification model is an MCLDNN of which the feature fusion module is provided with an SNR attention module; the SNR attention module can receive the SNR estimated value and obtain a signal-to-noise ratio attention weight according to the SNR estimated value; receiving a signal multi-channel fusion feature map output by the multi-channel fusion convolutional layer of the MCLDNN; weighting the signal multi-channel fusion feature map by using a signal-to-noise ratio attention weight, connecting the weighted signal multi-channel fusion feature map with a signal multi-channel fusion feature map residual error, and outputting a multi-channel fusion feature combined with SNR attention; and the multi-channel fusion features combined with the SNR attention are input to a time sequence module of the MCLDNN.

The invention discloses an LED liquid crystal display screen brightness and color difference detection and correction method and system, and belongs to the technical field of liquid crystal display. Initial brightness values and color values of all display units of a display screen are obtained; constructing a brightness and color difference reference model based on the convolutional neural network, and calculating a brightness deviation delta L and a color deviation delta C between the brightness and color difference reference model and a standard value; constructing a brightness-color difference error matrix W; according to the error matrix and in combination with a self-adaptive threshold algorithm, identifying a brightness-color difference abnormal region and corresponding coordinates of the brightness-color difference abnormal region; based on a deviation scoring result, introducing a gradient regression model to generate a brightness gain coefficient and a color adjustment coefficient, and constructing a correction parameter set P; the parameter set is issued to a control chip, dynamic image signal modulation and local frame level refreshing are executed, and point-by-point brightness and color difference correction is achieved; the method has the advantages of high precision, high automation, high adaptive capacity and the like, and is suitable for improving the brightness and color difference uniformity in various LED liquid crystal display screen scenes.

The invention discloses a semi-supervised LPI radar signal modulation identification system and method based on entropy perception pseudo labels, and relates to the technical field of radar signal processing and mode identification. The system comprises a preprocessing module, a multi-scale reconstruction enhancer, a classification backbone network and a semi-supervised training module. The multi-scale reconstruction intensifier is used for reconstructing dual-channel separation through high-frequency detail enhancement and a low-frequency structure and enhancing discriminative characteristics in a noise environment; the classification backbone network introduces an adaptive contraction unit to realize channel-level noise suppression; and the semi-supervised training module dynamically evaluates the uncertainty of the unlabeled samples by adopting an entropy sensing mechanism, and generates weighted pseudo labels to carry out consistency regularization training. The method realizes signal modulation identification based on the system. According to the method, the problem of feature shielding under the condition of low signal-to-noise ratio is solved, the dependence of the model on labeled data is reduced through a reliable pseudo label generation mechanism, and stable and efficient modulation identification can still be realized in a severe channel environment with scarce labeled data.

The invention discloses an intelligent signal modulation identification method and system fusing time-frequency characteristics. The method comprises the following steps: extracting time-domain characteristics and frequency-domain characteristics in a radio signal in a complex baseband form; fusing the radio signal, the time domain feature and the frequency domain feature to obtain a multi-channel fusion feature; training a convolutional attention network model comprising a stem embedding layer, a plurality of cascaded feature extraction stages and a classification head; inputting the multi-channel fusion features into a trained convolutional attention network model, and performing feature extraction on the multi-channel fusion features through a stem embedding layer to obtain first extraction features; performing deep feature extraction on the first extraction feature through a plurality of cascaded feature extraction stages to obtain a second extraction feature; and inputting the second extraction feature into a classification head for signal modulation identification to obtain a signal modulation identification result corresponding to the radio signal. According to the invention, the accuracy of signal modulation identification can be improved.

The invention discloses a photovoltaic optimization regulation and control method and device based on an MPPT technology, and particularly relates to the technical field of photovoltaic power generation control, and the method specifically comprises the following steps: S1, full-link operation state synchronous collection, S2, DC bus ripple feature extraction, S3, multi-source disturbance quantitative evaluation, S4, cooperative control parameter decision making, and S5, grid-connected signal synthesis modulation. A multi-source disturbance quantitative evaluation system is adopted, the irradiance change gradient, the frequency ratio and the switching noise contribution ratio are subjected to multi-dimensional fusion, a dynamic weight distribution mechanism is established, and parallel optimization of MPPT mode selection, disturbance step length adjustment and PWM phase shift angle is achieved through a cooperative control parameter decision architecture. A response delay bottleneck existing in a traditional serial decision mode is broken through, and a ripple compensation component is dynamically injected while stable output of fundamental current is maintained based on a grid-connected signal modulation strategy of vector synthesis.

The invention discloses a high-spatial-resolution distributed optical fiber sound wave sensing system based on FPGA real-time demodulation. The system comprises a narrow linewidth laser source module, a first coupler, a high-bandwidth sweep frequency signal modulation module, a circulator, a coherent receiving and photoelectric conversion module and an FPGA integrated module. A laser source emitted by the narrow linewidth laser source module is divided into about 10% of reference light and about 90% of detection light through the first coupler. The FPGA integrated module is connected with the high-bandwidth sweep frequency signal modulation module, and transmits a sweep frequency radio frequency pulse signal and a frequency shift radio frequency pulse signal to the high-bandwidth sweep frequency signal modulation module; the high-bandwidth sweep frequency signal modulation module is connected with the sensing optical fiber through the circulator so as to output sweep frequency optical pulses; the sensing optical fiber is connected with the coherent receiving and photoelectric conversion module through the circulator to transmit Rayleigh backscattered light; the coherent receiving and photoelectric conversion module is connected with the FPGA integrated module, and the FPGA integrated module carries out signal processing to obtain vibration information on the optical fiber.

The invention discloses a signal modulation identification method fused to Transform and a hybrid expert mechanism, and belongs to the technical field of wireless communication and artificial intelligence crossing. The method solves the problem that the model capacity and the adaptability to complex signals are limited by a fixed feed-forward network in the automatic modulation identification of the conventional Transform model. According to the technical scheme, the method comprises the steps of inputting dual-channel time sequence signals of in-phase components and orthogonal components; extracting preliminary features through convolution operation; the features are input into a Transform architecture integrating an attention mechanism and a hybrid expert mechanism; in the hybrid expert mechanism, calculating a routing weight through a gating network with noise routing and sparsely activating an expert network; merging expert outputs according to routing weights to obtain depth features; and finally, outputting a modulation identification result through the classifier. According to the method, the calculation efficiency is maintained while the model parameter scale is expanded, and the recognition accuracy in a complex channel environment is improved.

The invention relates to the technical field of wireless communication, and provides a low-earth-orbit satellite link state management and optimization method, which comprises the following steps of: acquiring communication windows and signal intensities of different low-earth-orbit satellite links by adopting a link prediction method, and further judging whether the satellite links are available or not; when the satellite link is unavailable, a standby satellite is selected in advance, and the optimal switching opportunity is determined; the terminal selects the optimal frequency band for communication in real time according to the current link quality, the satellite signal strength and the interference condition, and dynamically allocates satellite frequency band bandwidth resources by adopting a dynamic frequency selection method; and adjusting a signal modulation mode and a coding rate according to the signal quality. According to the invention, the terminal can select the standby satellite in advance and complete seamless switching before the current link fails, so that the delay and interruption time of link switching are remarkably reduced. The utilization efficiency of spectrum resources is improved by adopting a dynamic frequency selection and bandwidth resource allocation technology, and the anti-interference capability of a communication link in a complex environment is enhanced.

The invention provides an intelligent night lamp control method, device and equipment based on multi-mode AI and a medium, and is suitable for the technical field of digital dimming, and the method comprises the steps: carrying out the feature extraction of sensor data, and obtaining an environment feature data set, performing spatio-temporal behavior identification of each user and segmentation of an activity area on the environment feature data set to obtain a target area and a non-target area, calculating a preliminary illumination parameter set according to the environment feature data set, the target area and the non-target area, and performing light pollution simulation evaluation on the preliminary illumination parameter set according to the non-target area to obtain a light pollution index, and performing multi-target constraint optimization on the preliminary illumination parameter set according to the light pollution index to obtain an adjustment illumination parameter set, and performing signal modulation on the adjustment illumination parameter set according to the equipment data to generate a night lamp control signal. According to the method and the device, directional, low-interference and energy-saving safe illumination for the user getting up at night is realized through region segmentation based on user behavior recognition and regional preliminary dimming.

The invention provides a semi-supervised signal modulation identification method based on multi-codebook discrete virtual adversarial training, and the method comprises the steps: carrying out the high-dimensional potential representation coding of input labeled and unlabeled sample signals through employing a vector quantization generative adversarial network, so as to obtain a continuous potential representation; mapping the continuous potential representation into a discrete vector sequence through a quantizer; virtual confrontation disturbance meeting the condition that the L2 norm does not exceed epsilon is applied to the unlabeled sample at the input end, and a disturbance sample is generated; respectively inputting a labeled sample, a label-free sample and a disturbance sample into a classifier, calculating cross entropy loss and KL divergence consistency loss, and jointly optimizing parameters of an encoder, a codebook and the classifier in a weighted sum form; therefore, the discrete potential representation is obtained through the vector quantization generative adversarial network, disturbance is constructed for the unlabeled sample at the input end, and joint optimization is performed in combination with the cross entropy and the KL divergence loss, so that the recognition accuracy and robustness under the conditions of few labels and low signal-to-noise ratio are improved.

The invention relates to an underwater acoustic communication and positioning integrated signal design and processing method based on FDMA signal modulation, a medium and a device, and belongs to the field of underwater acoustic communication / positioning. And respectively modulating the integrated baseband signals to a plurality of pre-divided carriers with different center frequencies. Each carrier corresponds to an independent transmitter signal, and the center frequency interval of different transmitter signals is greater than the signal bandwidth. And the modulated signal is transmitted to an underwater environment through the underwater acoustic transducer. In the signal processing process, a band-pass filter bank is used for carrying out frequency separation on received signals, each filter corresponds to the center frequency of a transmitting signal, the separated signals are demodulated and decoded to recover original communication data, and the distance between a transmitter and a receiver is calculated by measuring time delay. And simultaneous communication interaction and high-precision positioning of multiple underwater users are realized.

The invention discloses a laser radar and a signal modulation method and device of a silicon light phase shifter, and relates to the technical field of laser radars. The signal modulation method comprises the following steps: providing an initial driving voltage signal for a silicon light phase shifter, so that the silicon light phase shifter modulates a laser signal according to the initial driving voltage signal; obtaining the phase of the laser signal modulated by the silicon light phase shifter; modulating the initial driving voltage signal into a periodic modulation voltage signal according to the phase of the laser signal; acquiring a modulation slope corresponding to the modulation voltage signal of each period; performing waveform modulation on the modulation voltage signal according to the modulation slope corresponding to the modulation voltage signal of each period to determine a modulation driving voltage signal; providing the modulation driving voltage signal to a silicon light phase shifter, so that the silicon light phase shifter modulates the laser signal according to the modulation driving voltage signal, and determining a modulation laser signal; and the frequency of the modulated laser signal is linearly changed in a triangular wave form along with time. According to the invention, the measurement precision of the laser radar is improved.

The invention discloses a pre-phase-based one-bit beam reconfigurable metasurface antenna device, which comprises a pre-phase-based one-bit metasurface antenna unit which is designed by adopting a resonance scattering analysis method, two microstrip line paths with different lengths are switched through a single-pole double-throw switch, so that a 180-degree phase difference of a signal is obtained to realize 1-bit phase regulation and control, and the one-bit beam reconfigurable metasurface antenna device is obtained. Electromagnetic simulation software is utilized to optimize geometric parameters and output reflection electromagnetic response of the design model; the overall design of the reconfigurable antenna array panel is carried out based on the designed unit model, and the reconfigurable antenna array panel comprises a sub-panel composed of a plurality of low-cost microstrip antenna array units and a control panel connected with external feed equipment and a main panel.

A signal modulation chip, method, and computer-readable storage medium for optical signal modulation. The chip includes N first electrodes distributed on at least two different side edges, N modulators each connected to one electrode, an input interface for receiving optical signals, and an output interface for outputting modulated signals. Each first electrode i receives electrical signals and transmits them to corresponding modulator i. The input interface transmits optical signals to the modulators, which modulate the optical signals according to received electrical signals to obtain modulated optical signals. The output interface then outputs these modulated optical signals, enabling efficient optical signal processing through distributed electrode architecture and electrical control mechanisms.

The invention discloses a preparation method and structure of a photon integrated laser, and the method comprises the steps: dividing a device into seven functional regions, including two modulator regions, two gain regions, two front grating regions and a common rear grating region; an active material of a modulator region and a passive material of a grating region are respectively formed through two times of butt-joint growth; after sampling gratings are manufactured in the front grating area and the rear grating area, a cladding layer, a contact layer and a ridge waveguide structure grow, cantilever beam heat insulation structures are formed on the two sides of the ridge waveguide of the shared grating area, and finally electrodes of the rear functional areas are manufactured. Wavelength tuning of the two lasers is achieved by sharing the rear grating area, and the size of the lasers is effectively reduced; the cantilever beam structure of the rear grating area is utilized to effectively reduce heat conduction, improve wavelength tuning efficiency and reduce power consumption; through the double-end integrated electro-absorption modulator, bidirectional light emission of a single integrated chip is realized, signal modulation of different bidirectional light emission wavelengths can be carried out, and the utilization rate of optical fiber transmission is improved.

The invention relates to a low-noise high-precision pressure measuring circuit which comprises a bridge type sensor, an alternating-current excitation signal source, a phase-sensitive detector, a low-pass filter, a reference signal source and a signal conditioning amplifier. The alternating current excitation signal source modulates a differential voltage signal generated by the bridge type sensor to a high-frequency alternating current excitation signal generated by the alternating current excitation signal source to obtain a high-frequency pressure signal; the high-frequency pressure signal is amplified by the signal conditioning amplifier to form a modulated signal; the phase-sensitive detector performs frequency mixing on the modulated signal and a reference signal generated by a reference signal source to obtain a frequency mixing signal; the frequency mixing signal is filtered by a low-pass filter to form a direct-current voltage signal for pressure measurement; the reference signal generated by the reference signal source and the high-frequency AC excitation signal generated by the AC excitation signal source have the same frequency. According to the circuit, signals are modulated to a high-frequency area with low noise energy to be processed by adopting alternating-current excitation and coherent detection technologies, the signals and noise are effectively separated, and extremely high measurement resolution and precision are achieved.

A time of flight (TOF) ranging system includes multiple emitters, each emitting a signal whose intensity, amplitude or polarization is modulated by a corresponding delayed modulation signal. Each delayed modulation signal is a delayed version of a time varying multi-valued modulation signal, the amount of delay being determined by a spatial position of the emitter and direction of a target point on the target. The signal reflected by the target is correlated with the original modulation signal to generate an output having a peak representing the TOF to the target point. The same process is performed to detect other target points. Another TOF ranging system includes one emitter and multiple detectors; the signal from each detector is delayed in a similar manner and their sum is correlated with the original modulation signal to generate an output representing TOF. Yet another TOF ranging system includes multiple emitters and multiple detectors.

The invention discloses a power data network wide area synchronous transmission system based on APN6 intelligent slicing, and relates to the technical field of power system communication, the service type of current transmission data is obtained through an identification embedding module, and a structured APN6 identifier is embedded in a Hop-by-Hop option header of an IPv6 extension header; the slice creation module judges whether retransmission is carried out or not according to CRC verification, dynamically creates multi-level slices according to time delay levels, and calculates an optical fiber refraction compensation value according to topological path coding; when the phase compensation module monitors that a line fault or a node is overloaded, different strategies are executed for slices of different levels, and transmission phases of slices around a fault area are adjusted through the signal modulation module; and when the slice capacity expansion module detects that the new energy cluster oscillates, bandwidth directional capacity expansion is executed according to the slice resource elastic scheduling framework. According to the method and the device, the data identification accuracy and the slice resource adaptability are improved.

The invention relates to the technical field of data processing and intelligent environment control, in particular to a sleep environment feedback control data processing method based on cognitive behavior therapy logic, which comprises the following steps: a reference model construction step: acquiring a non-contact multi-mode time sequence signal, and reconstructing a reference signal balance curve to construct a target signal manifold model; a simulation flow generation step of converting the preset interference characteristics into signal modulation operators and injecting the signal modulation operators into the model to generate a simulation signal flow; a double-track difference calculation step: executing double-track difference operation to respectively extract residual features representing system deviation and theoretical interference; a similarity judgment and control step: calculating the topological similarity of the residual features in a time-frequency domain, judging a deviation dominant type, generating a corresponding control instruction, and driving an execution mechanism to act; according to the method, psychological anxiety and environmental discomfort are effectively distinguished by using a double-track differential mechanism, and accurate attribution analysis of sleep interference sources is realized.

The invention provides a passive laser gyroscope based on a light force induced transparency effect and a measurement method thereof, the passive laser gyroscope comprises a frequency stabilized laser light source, a signal modulation input device, a balance homodyne detection device, an annular optical resonant cavity and a signal detection and feedback device, wherein a reflection cavity mirror with a photomechanical resonance structure characteristic is integrated in the annular optical resonant cavity; according to the passive laser gyroscope, a narrow transparent window modulated by a mechanical damping rate is generated on an annular optical resonant cavity of the passive laser gyroscope by utilizing a light force induced transparency effect and a light-mechanical coupling effect, so that the quality factor of the annular optical resonant cavity is improved, and the measurement sensitivity of the passive laser gyroscope is enhanced.

The invention discloses a chirp spread spectrum photon terahertz communication perception integrated system. The system comprises a coherent light source module used for generating two beams of coherent single-frequency optical carrier signals; the signal modulation module is used for generating a baseband chirp spread spectrum communication sensing integrated signal and modulating the signal to one beam to form a carrier signal; the integrated signal transmitting module is used for taking the other beam of single-frequency optical carrier signal as an optical local oscillator signal, and after the optical local oscillator signal is coupled with the carrier signal, a terahertz communication sensing integrated signal is generated and radiated through optical down-conversion; the communication receiving module is used for performing frequency conversion and demodulation on the received terahertz communication sensing integrated signal and recovering communication information in the signal; and the radar receiving module is used for performing de-chirp and target information estimation on the received terahertz communication sensing integrated signal. According to the system, the advantages of a photon terahertz architecture are fully exerted, and an ultra-wideband chirp spread spectrum integrated signal is generated, so that a communication sensing integrated system with high spread spectrum gain and high energy efficiency is realized.

The invention relates to the technical field of electrical variable measurement, solves the technical problems that in the prior art, path planning is lack of dynamics, mechanical wear is caused by frequent acceleration and deceleration of a probe, and key features are easy to omit in a complex multi-path environment, and particularly relates to a method and system for coping with an antenna performance test and a storage medium. The method comprises the steps of collecting target test frequency point data and standard signal modulation data of a target antenna, and generating synchronous excitation signal data through multi-dimensional signal processing and synchronous adjustment. The sampling efficiency and the data quality are remarkably improved through multi-stage collaborative optimization, a sampling domain is primarily selected in combination with a theoretical directional diagram and interference distribution, and the synchronous excitation signal data are generated. The method has the advantages that invalid area measurement is avoided, learning is reinforced to dynamically plan a path to reduce mechanical loss, redundancy is reduced by refining point locations, data independence and coverage are ensured by weighted evaluation, adaptability in a dynamic channel environment is higher, and the method is particularly suitable for millimeter wave and other high-dimensional antenna test scenes.

The invention discloses an underwater acoustic signal modulation mode identification method and a related device, and relates to the field of signal modulation mode identification in non-cooperative underwater acoustic communication, and the method comprises the steps: firstly obtaining an original passband signal, and processing the original passband signal to obtain an I-path complex signal and a Q-path complex signal; extracting spatial features of the I-path complex signal and the Q-path complex signal by using a residual convolutional network module to obtain a spatial feature sequence; then, a bidirectional gating circulation unit module is used for learning information of the spatial feature sequence from the front direction and the back direction respectively, and the information obtained through learning is spliced to obtain a time sequence feature vector; and performing feature mapping and classification on the time sequence feature vectors to obtain classification confidence coefficients of different modulation modes, and determining the modulation mode corresponding to the maximum classification confidence coefficient as a classification result. According to the invention, high-precision and automatic underwater acoustic signal modulation mode identification can be realized.

The invention discloses a multi-system adaptive switching radio direction finding method and system. The method comprises the following steps: acquiring signal modulation characteristic parameters and electromagnetic environment interference characteristic data to construct a system evaluation criterion, identifying a system mismatch sensitive area, and generating an interference weight distribution diagram and a system coverage margin; performing system competitive advantage decline analysis on the two to generate a switching urgency level and construct a hierarchical switching index set; obtaining a degradation offset coefficient through performance degradation trend tracking, and performing threshold correction on the real-time switching index to generate an adaptive switching index and a switching cooperation parameter; and tracking a system performance evolution trajectory based on the switching cooperation parameters and the interference weight distribution diagram, identifying an optimal system migration trigger point, completing optimal direction finding system selection and outputting an incoming wave direction measurement result. According to the invention, adaptive sensing of electromagnetic environment change and dynamic optimization of system switching are realized, and the accuracy and continuity of wave direction measurement in a complex interference environment are improved.

The invention provides a sensor calibration communication method based on a sensor power supply line. The method comprises the steps that S1, calibration equipment modulates an instruction signal to be issued to a sensor into a voltage change signal and couples the voltage change signal to the power supply line of the sensor; s2, a sensor receives the voltage change signal from the power supply line and demodulates the voltage change signal to demodulate the instruction signal; and S3, after the sensor receives the instruction signal, the instruction signal is processed, and a corresponding instruction reply is transmitted back to the calibration equipment. According to the method, sensor communication is realized based on the power supply line of the sensor, an instruction from a calibration device is modulated into a voltage change signal and coupled to the power supply line of the sensor, and an instruction reply is modulated into a current change signal of a power supply loop, so that the anti-interference performance of the communication method is enhanced, and the cost is reduced. The invention further provides a sensor and a sensor assembly comprising the sensor.

A measuring instrument includes a movable portion configured to rotate in an arc motion about a pivot portion, and an electronic position encoder configured to measure an absolute relative position between a detector portion and a scale portion, one of which forms part of the movable portion. In the detector portion, first and second scale element portions of first and second track portions are arc-shaped and parallel to each other. In the scale portion, first signal modulating scale elements are disposed along a first scale element portion according to a first signal modulating element angular spatial step θWSME1 and second signal modulating scale elements are disposed along a second scale element portion according to a second signal modulating element angular spatial step θWSME2 that is different than the first signal modulating element angular spatial step θWSME1.

The invention belongs to the technical field of photoelectric detection imaging, and particularly relates to a dim target enhancement device and method based on range gating polarization imaging, the device comprises a transmitting system and a receiving system, the transmitting system comprises a pulse laser, a signal modulation circuit and a transmitting optical system; the pulse laser is used for emitting laser beams; the signal modulation circuit is used for generating a high-frequency modulation electric signal and modulating a laser beam emitted by the pulse laser; the emission optical system is used for focusing and adjusting the light beam direction and the emergent light polarization state; the receiving system comprises a receiving optical system, a focal plane polarization detector, a synchronous control board, a signal processing board, an image processing board and display control equipment; according to the device, the pulse illumination module, the time synchronization control module and the polarization imaging module are integrated, and an image definition evaluation algorithm is combined, so that synchronous acquisition and fusion of target polarization information and distance information are realized.

The invention relates to an IRNSS navigation signal simulation generation method and system based on parameter compensation, and the method comprises the steps: receiving original signal data outputted by an IRNSS navigation receiver, and receiving a target machine position coordinate and a velocity vector; analyzing the navigation message to extract ephemeris parameters, and calculating the real-time position and velocity vector of the satellite; calculating a Doppler frequency compensation value and a pseudo code time delay compensation value; according to the pseudo code time delay compensation value and a preset target simulation coordinate, modifying a signal emission time field in the navigation message, generating a simulation navigation message frame, carrying out forward error correction coding processing, generating a coding symbol sequence, and carrying out modulo-two addition operation on the coding symbol sequence and a pre-generated PRN pseudo code sequence to obtain a baseband spread spectrum signal; generating an intermediate frequency carrier signal according to the Doppler frequency compensation value and the carrier phase; and modulating the baseband spread spectrum signal to the intermediate frequency carrier signal, and outputting an intermediate frequency analog signal. According to the invention, the concealment of signal simulation and the success rate of capturing the analog signal by the target receiver can be improved.

The invention provides a radar signal small sample modulation identification method and system based on meta-learning, and relates to the technical field of radar signal modulation identification, and the method comprises the steps: collecting a multi-polarization radar echo signal of a target object, and carrying out the preprocessing of the multi-polarization radar echo signal to generate a multi-polarization feature sequence and a modulation feature set; analyzing signal channel quality, performing multi-channel fusion, and obtaining target enhanced polarization characteristics through airspace interference suppression; performing multi-modal feature alignment on the modulation feature set and the modulation feature set, generating multi-modal feature representation through joint mapping and similarity measurement, and reducing intra-class difference; and finally, on the basis of a meta-learning framework, constructing a layered optimization framework to carry out parameter learning and meta-parameter adjustment, realizing adaptation and generalization of a radar signal modulation identification rule under a small sample by means of normalized loss mechanism standard training, and carrying out multi-polarization signal processing, multi-modal feature fusion and meta-learning optimization. Effective adaptation and generalization of the radar signal modulation recognition rule are realized under the small sample condition, and the recognition performance is improved.

The invention belongs to the technical field of visible light communication, and relates to a mobile visible light communication method and system. The distance between the receiving end and the transmitting end and the movement speed of the receiving end are calculated and fed back to the transmitting end, so that the transmitting end modulates a to-be-transmitted signal; filtering the initial image time sequence to obtain a target image time sequence, and when the movement speed is greater than a preset movement speed threshold, performing guided filtering on the target image time sequence to obtain an updated target image time sequence; for each frame of image in the target image time sequence, normalizing the pixel value of each pixel point by taking the row pixel where each pixel point is located as a unit so as to calculate the standard deviation of the gray value gradient of each row of pixels; calculating a pixel value threshold value based on the row pixel with the maximum standard deviation of the gray value gradient in each frame of image; and removing pixel points of which the pixel values are lower than the pixel value threshold value in each frame of image to obtain a target frame of image, and demodulating the target frame of image to obtain the optical signal transmitted by the transmitting end.