1567 results about "Signal modulation" patented technology

The invention relates to the technical field of organic display data processing, in particular to an organic display interface multichannel signal modulation method, which comprises the following steps of: generating a standardized data set through gamma correction and gamut mapping, and inputting the standardized data set into time sequence, amplitude and frequency sub-models deployed in a federal learning framework; and respectively analyzing the pulse width-refresh rate relevance, the driving voltage-brightness nonlinear relationship and the conduction period-mobility dynamic response, generating an optimized weight coefficient, and fusing the optimized weight coefficient into a boundary constraint condition of a cross-sub-model. A migration rate parameter index, amplitude gradient calculation and duty ratio correction service of chain calling is constructed based on a service grid, a reinforcement learning dynamic routing strategy is combined to avoid resource competition nodes, and brightness error characteristics are periodically fed back to reversely optimize gradient updating. According to the method, the conflict between time sequence deviation accumulation and local optimum is effectively suppressed, the color gradation continuity, the dynamic range and the edge sharpness are improved, and efficient cooperative modulation of multi-channel signals is realized.

The invention discloses a method for identifying a multi-model fusion signal modulation mode based on a time-frequency diagram, and belongs to the field of signal processing. Preprocessing the original signal to obtain a signal sample; constructing a data set by using the normalized signal samples; constructing a fusion model; training a modulation identification module in the fusion model; performing modulation mode identification on an input unknown signal by using the fusion model to obtain a preliminary identification result; and performing comprehensive judgment on the preliminary recognition result of the fusion model by using a comprehensive judgment device to obtain a final recognition result. According to the invention, by combining a plurality of time-frequency analysis methods, the time-frequency domain feature information of the signal is fully extracted; the reliability and robustness of a final decision are improved by adopting a multi-model fusion framework, and the modulation recognition performance of the system under the condition of a low signal-to-noise ratio is improved.

The invention provides an accurate flight path tracking control method, device and equipment for an unmanned aerial vehicle, and the method comprises the steps: generating fusion state data through the fusion of GPS flight path data and flight state information, and constructing a flight path-state phase space model through employing a phase space reconstruction technology; phase trajectory feature parameters are extracted based on dynamic trajectory analysis, and dynamic attractor features are determined through attractor recognition processing; analyzing and identifying the center position of an attractor and the position of a topological singular point by using phase space topology, and constructing composite potential field intensity distribution formed by overlapping a conventional gravitational potential field and a repulsion-attraction bipolar potential field; gradient calculation is carried out on the composite potential field, and adaptive modulation is carried out based on the relative relation between the current position and the attractor center; in a local coordinate system taking a singular point as an original point, decomposing a modulation gradient vector into radial and circumferential components, and forming a spiral potential field through selective rotation enhancement; and finally, generating a tracking control instruction and performing signal modulation output, thereby realizing accurate tracking control of the unmanned aerial vehicle on the preset route.

A LiDAR apparatus, including: a laser to generate an optical signal; modulation components configured to receive the optical signal as an input and to output at least two corresponding modulated optical signals at respective output ports, wherein each modulated optical signal is modulated by a corresponding pseudo-random bit sequence, and: (i) the optical signals have respective different delays such that the modulations do not overlap in time; or (ii) the pseudo-random bit sequences have low cross-correlation; for each of the at least two modulated optical signals, a corresponding optical transmitter configured to transmit the corresponding modulated optical signal towards a corresponding surface spaced from the LiDAR apparatus by a corresponding distance, and a corresponding optical receiver configured to receive a portion of the transmitted optical signal scattered and / or reflected by the surface, the received portion of the optical signal having a phase shift and / or Doppler shifted angular frequency due to radial motion of the LiDAR apparatus relative to the surface; at least one photodetector to receive the optical signals received by the optical receivers, interfered with a reference beam, and to generate a corresponding output signal; at least one analogue to digital converter to generate a digital signal representing the output signal from the at least one photodetector; and a digital signal processing component configured to process the digital signal to generate LiDAR data representing the distances to the surfaces and / or relative velocities of the surface(s) with respect to the apparatus.

The invention relates to the technical field of high-frequency signal modulation, and discloses a high-frequency carrier synchronization signal modulation system. A carrier distortion compensation module of the system constructs a model based on a historical transmission data set, captures a phase jitter parameter, a spectrum leakage component and a modulation pulse sequence of a transmitting end carrier in real time, and outputs a reconstructed baseband parameter; the multi-dimensional distortion analysis module compares the reconstructed baseband parameter with a receiving end demodulation baseband parameter through composite difference detection, and generates a channel-level distortion coefficient tensor; the topological positioning network module is used for positioning signal out-of-step physical nodes and generating a probability distribution thermodynamic diagram by combining impedance characteristics of transmission nodes and signal path delay information; and the adaptive modulation strategy module starts a multi-band carrier injection mode for the high-probability out-of-step nodes according to the abnormal probability gradient of the thermodynamic diagram, and applies a phase disturbance test to adjacent transmission links. The system can improve the adaptability and accuracy of high-frequency carrier signal synchronous modulation.

The invention relates to the technical field of inverter control, and discloses an inverter output power control method and device, equipment and a storage medium. The method comprises the following steps: performing power frequency fundamental wave extraction and multi-band band-pass filtering on acquired voltage and current sampling data; performing phase compensation, first coordinate transformation and positive and negative sequence decoupling operation on the filtered fundamental wave principal component data; on the basis of a synchronous phase angle and a power grid fundamental wave frequency obtained by positive and negative sequence decoupling operation, carrying out second coordinate transformation, moving average and harmonic power delay difference operation on three-phase current and voltage data of an alpha-beta coordinate system; performing multi-level power calculation, power capacity distribution, error characteristic evaluation and decoupling operation on the inversion fundamental component and the inversion harmonic component subjected to the difference operation; and performing output signal modulation on the inversion power control quantity of the decoupling operation based on the fundamental wave synchronization phase angle, and generating a power control result. According to the invention, the control performance of the inverter on the output power in actual operation is improved.

The invention discloses an unmanned aerial vehicle radio communication frequency band countering method for automatic frequency identification and frequency writing, and relates to the technical field of unmanned aerial vehicle interference, and the method comprises a frequency band identification module which is used for scanning a 300MHz-6GHz frequency band in real time and identifying an enemy unmanned aerial vehicle communication signal; the signal analysis module is connected with the frequency band identification module, comprises a digital signal processor and an FPGA (Field Programmable Gate Array), and is used for analyzing signal modulation types and spectrum characteristics; the automatic frequency writing module is used for adjusting an interference frequency band through a direct digital frequency synthesis technology according to an analysis result; the multi-frequency-band interference transmitter supports synchronous interference in frequency bands of 1.2 GHz, 2.4 GHz, 5.2 GHz and 5.8 GHz; the intelligent control terminal integrates an adaptive interference algorithm, and the response time is less than or equal to 1 second. According to the unmanned aerial vehicle radio communication frequency band countering method capable of automatically identifying and writing the frequency, the radio communication frequency band used by the enemy unmanned aerial vehicle is automatically identified, and the corresponding frequency band is written in real time for accurate interference, so that the interference effect of an interference system facing the enemy unmanned aerial vehicle is improved.

The invention discloses a multi-mode SAR interference method and device, and belongs to the field of radar electronic countermeasure, and the method comprises the steps: respectively calculating a product matrix of each interference mode in an interference preparation stage; after entering a reconnaissance stage, intercepting a first section of receiving signal, judging whether the first section of receiving signal is an SAR signal or not, estimating parameters of the SAR signal, and extracting one frame of complete SAR pulse signal as a reference signal; intercepting a second section of receiving signal, and judging whether to enter an interference stage or not according to the PRF; after entering the interference stage, receiving a part of SAR pulse signals and recovering the part of SAR pulse signals into complete SAR pulse signals; multiplying the complete SAR pulse signal by the product matrix to obtain a baseband interference signal; and modulating the baseband interference signal into a radio frequency interference signal and transmitting the radio frequency interference signal. According to the invention, multiple modes of interference such as false target implantation, pseudo radio frequency interference and scattered wave interference can be realized, the interference signal modulation complexity is low, and the requirement of the interference device for the isolation of the transceiving antenna is low.

The embodiment of the invention provides a signal processing circuit, a chip and electronic equipment. The signal processing circuit comprises an analog-to-digital conversion module and a signal amplification module, the first chopping switch module is used for modulating the differential input signal to high frequency under the control of a preset clock signal and inputting the signal to the signal amplification module; the second chopping switch module is used for modulating the differential output signal output by the signal amplification module to a low frequency under the control of a preset control signal and inputting the low frequency to the analog-to-digital conversion module; and the second chopping switch module also enables the analog-to-digital conversion module to establish sampling under the control of a preset control signal. According to the application, the second chopping switch module is multiplexed as a sampling switch of the analog-to-digital conversion module, so that the problem that on-resistance is increased due to the fact that a chopping demodulation switch and the sampling switch are arranged at the same time can be avoided.

The invention discloses a dynamic unmanned aerial vehicle cluster electromagnetic characteristic modeling method and system based on a digital array radar, and the method specifically comprises the steps: setting radar system parameters, building a time-varying motion model of an unmanned aerial vehicle cluster, and obtaining the formation pose distribution of the unmanned aerial vehicle cluster under a global coordinate system; component decomposition is carried out on an unmanned aerial vehicle CAD model, shielding analysis is carried out under the radar sight line constraint condition, time-varying scattering center parameter extraction is carried out according to the dynamic electromagnetic effect between targets, scattering center space distribution of an unmanned aerial vehicle cluster is updated in a time sequence recursion mode, and construction of a time-varying scattering center model is completed; a radar system signal model is constructed according to digital array radar DAR parameters, multi-dimensional dynamic feature extraction and parameter mapping are carried out, digital array radar multichannel signal modulation and unmanned aerial vehicle cluster target radar echo construction are completed, and radar scattering electromagnetic characteristic modeling of a dynamic unmanned aerial vehicle cluster is realized. According to the method, the model description accuracy is improved, and the calculation process is more efficient.

The invention relates to the technical field of wireless communication, and discloses a low-power-consumption communication method and device for wireless audio equipment, an SoC chip and a storage medium. The method comprises the following steps: sampling acoustic characteristics of heterogeneous audio data of a plurality of target audio devices, calculating a voice spectrum corresponding to device characteristics, and extracting multi-device acoustic characteristics, performing multi-frequency sub-band speech enhancement, heterogeneous segmentation and grouping of multi-target audio equipment, verification value calculation and differential coding on each extracted acoustic feature sequence to obtain a multi-source coding speech segment; performing transmission unit division and cooperative signal modulation, cooperative resource allocation and data stream transmission of each transmission unit on the multi-source coding voice segment to obtain a transmission voice data stream; and obtaining a transmission voice data stream transmitted with low power consumption and performing audio recovery on the obtained data to obtain a target audio data stream transmitted by the multi-target audio equipment. The communication power consumption of the multiple target audio devices is reduced, and the audio transmission quality is ensured.

The invention discloses a satellite signal modulation recognition method based on an enhanced multi-scale feature attention network, and the method comprises the steps: obtaining a to-be-recognized satellite signal, inputting the to-be-recognized satellite signal into a trained enhanced multi-scale feature attention network, and obtaining a satellite signal modulation recognition result. The training process of the enhanced multi-scale feature attention network comprises the following steps: acquiring a satellite communication data set, and performing sample expansion to obtain an augmented sample; performing noise removal processing and feature extraction on the augmented sample to obtain denoised data features; inputting the de-noised data features into a global context sensing module, extracting modulation features of different frequencies and time scales, and performing feature fusion on the modulation features and the de-noised data features to obtain fusion features; and performing feature reconstruction and channel recovery on the fusion features, inputting the fusion features into a Softmax classifier, performing classification prediction, calculating classification loss, and optimizing network parameters through the classification loss. Under a complete blind recognition scene, the accuracy of a satellite signal modulation recognition result can be obviously improved.

The invention discloses a short wave signal detection, identification and training method based on deep learning. The method comprises the following steps: extracting IQ data of a narrowband signal from target signal data through a deep learning model; the modulation features and protocol features of the narrowband IQ data are analyzed through a deep learning model, and signal modulation mode identification and signal protocol type identification are carried out; storing all processed signal data and related label information; labeling the signal data based on a deep learning model and a preset rule, and storing a finally confirmed label as a final labeling result in a database; and collecting labeled data from the database, performing learning model training and parameter adjustment based on a deep learning framework, and performing retraining by taking a first time interval as a period. The invention also discloses a short wave signal detection, identification and training device based on deep learning, corresponding equipment and a storage medium. According to the invention, the short-wave signal can be efficiently and accurately detected and identified.

The invention discloses an insulation resistance and capacitance measuring circuit and method based on monopulse double-edge analysis, and relates to the related field of the electrical insulation online monitoring technology, and the circuit comprises a detected object and an insulation detection circuit. The insulation detection circuit comprises a controlled pulse voltage source, a coupling resistance network, a current sensor, a switch control module, a signal modulation circuit and a processor. The measurement method implemented based on the circuit comprises the following steps: injecting a common-mode voltage pulse into a transmission line of the power transmission system by adopting a pulse transmitter; pulse current response is collected in real time, a current oscillogram is drawn, and a three-point sampling method is introduced to record a current value for insulation impedance parameter calculation; according to a load condition, a double-edge verification method is applied based on a pulse current attenuation characteristic, and insulation impedance parameters including a resistive component and a capacitive component are independently calculated by analyzing a pulse current rising edge and a pulse current falling edge. According to the invention, non-intrusive synchronous monitoring of resistive and capacitive components of line-to-ground impedance is realized, and the detection precision is improved.

A device (100) and method for self-calibrating a radiofrequency transmitter are disclosed, the device comprising: first circuitry (120) for receiving a reference phase value (ϕ) and configured to output a first analog signal (AI) based on the reference phase value (ϕ); second circuitry (130) for receiving said reference phase value (ϕ) and configured to output a second analog signal (AQ) based on the reference phase value (ϕ); an IQ modulator (110) coupled to receive an input signal (LO), said first analog signal and said second analog signal, and configured to provide an IQ modulator output signal (RFout) based on said input signal, said first analog signal (AI) and said second analog signal (AQ); and compensation control circuitry (150) coupled to receive the IQ modulator output signal (RFout) and configured, during calibration, to output at least one compensation signal indicative of a compensation value based on the IQ modulator output signal (RFout); wherein at least one of said first circuitry (120) and said second circuitry (130) comprises: a digital signal generating portion (210, 310) for generating a digital signal (DI, DQ) based on the reference phase value (ϕ) and at least one said compensation value, a sigma-delta modulator portion (220, 320) coupled to receive the digital signal (DI, DQ) and configured, during calibration, for sigma-delta modulating the digital signal (DI, DQ); and a digital-to-analog converter (230, 330), coupled, during calibration, to receive the modulated digital signal provided by the sigma-delta modulator portion (220, 330) and configured to output said respective first / second analog signal (AI, AQ).

The invention discloses an optical interconnection system on an optical chip and the optical chip, relates to the technical field of communication, and aims to solve the technical problem of low system data capacity in the wavelength division multiplexing technology in the prior art. The system comprises a micro-ring modulation device, a polarization combiner and a demultiplexer, the output end of the micro-ring modulation device is connected with the input end of the polarization combiner; the input end of the demultiplexer is connected with the output end of the polarization combiner; the micro-ring modulation device is used for performing signal modulation on TE0 polarized light and TM0 polarized light in the light source; the polarization combiner is used for combining the TE0 polarized light and the TM0 polarized light output by the micro-ring modulation device and outputting combined light; and the demultiplexer is used for decomposing the combined light into signals corresponding to a plurality of wavelengths. By combining the polarization multiplexing technology and the wavelength division multiplexing technology, the number of multiplexing channels of the optical interconnection system is multiplied, and the data capacity of the optical interconnection system is improved.

A power conversion device includes a neutral point clamped multilevel power converter and a control device. The control device includes a modulation voltage generator which generates modulation phase voltage commands using phase voltage commands and phase currents, and a PWM modulator which generates gate signals for driving the power converter, using the modulation phase voltage commands. The modulation voltage generator calculates offset voltage so that, for a middle phase in which a high-low rank is middle among the phase voltage commands for respective phases, a polarity of the phase voltage command does not become opposite to a polarity of the phase current, and superimposes the offset voltage as first common voltage on the phase voltage commands for respective phases, to generate the modulation phase voltage commands.

The invention provides a harmonic reducer fault diagnosis method and system combining SAH with SSET under a time-varying rotating speed, and belongs to the field of harmonic reducer fault diagnosis. The invention aims to solve the problems of large time-frequency ridge line extraction error and inaccurate fault feature order extraction caused by the non-stable and signal modulation characteristics of a harmonic reducer vibration signal under a time-varying rotating speed. According to the SAH construction method based on sub-band rearrangement dual-tree complex wavelet packet transformation, a band elimination filter is designed according to an optimal frequency band, and a resonance frequency band where a fault impact component is located is filtered out; a time-frequency ridge extraction method combining SAH-SSET with a fast path optimization algorithm is provided, a frequency ambiguity phenomenon is improved, order analysis is carried out based on the frequency ambiguity phenomenon, and then the fault type of the harmonic reducer is judged according to an envelope order spectrum.

The embodiment of the invention provides a method for realizing long-distance signal transmission under the condition of a porous medium in a goaf. The method comprises the following steps: selecting a proper signal frequency range based on the physical characteristics of the porous medium in the goaf; designing a corresponding signal modulation mode according to the selected signal frequency range; the stability of a signal propagation path is enhanced through a relay node deployed in the goaf; modulation parameters are dynamically adjusted based on the signal quality fed back by the relay node to optimize the transmission effect. Through the scheme of the embodiment of the invention, the problem of how to optimize and select the signal frequency so as to solve the problem of too fast signal attenuation in the porous medium can be solved, and meanwhile, the problem of how to regulate and control the dielectric property of the transmission path so as to solve the delay problem caused by signal refraction and reflection can be solved; and the problem of bit error rate increase in long-distance transmission can be solved by adjusting the signal coding mode.

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 unmanned aerial vehicle image transmission signal modulation mode identification system and method based on multi-modal fusion. The method comprises the following steps: (S100) collecting and preprocessing unmanned aerial vehicle communication signal data; (S200) converting the one-dimensional time-domain signal into a two-dimensional Gramer angle field graph and estimating a two-dimensional time-frequency graph of the image transmission signal; (S300) carrying out feature merging; (S400) generating a training set and a test set; (S500) constructing a VGG-ResNet hybrid architecture deep learning network and carrying out training; and (S600) identifying the image transmission signal modulation mode of the unmanned aerial vehicle to be identified. The method disclosed by the invention is based on a multi-modal fusion technology and shows remarkable advantages, and data features of different modals can be comprehensively utilized by fusing the one-dimensional time domain signal and the two-dimensional time frequency graph information to realize more comprehensive description of data.

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 belongs to the technical field of communication, and relates to a time-frequency multi-dimensional coding frequency hopping communication method and device based on Rydberg atoms. Comprising the following steps: exciting a cesium atom system from a ground state to an intermediate excitation state by utilizing probe light, and exciting the cesium atom system from the intermediate excitation state to a Rydberg state by utilizing coupling light; determining the resonant frequency and the non-resonant frequency of a carrier based on the energy level of the cesium atom system in the Rydberg state, and selecting the carrier of the resonant frequency or the non-resonant frequency according to the binary state of the baseband signal to perform time-frequency coding to generate a frequency hopping sequence; and radiating the frequency hopping sequence to a cesium atom system in a Rydberg state, and receiving a spectral signal of the transmissivity of the detection light passing through the cesium atom system so as to complete receiving of a baseband signal. According to the invention, frequency hopping sequence synchronization and signal modulation are not needed, the complexity of the system is reduced, and the method has the characteristic of tracking interference resistance.

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 a three-phase-shift control method and system of a DAB converter, and relates to the technical field of converter control. Comprising the steps that a primary side voltage steady-state value, a secondary side voltage steady-state value and an expected value X * of a high-frequency transformer Tr in a target DAB converter and a sampling value X fed back by the output end of the target DAB converter are acquired; performing proportional integral on a difference value between the sampling value X and the expected value X * to obtain unit transmission power Y; determining the voltage ratio # imgabs0 # of the two sides of the inductor, and determining a first phase shift angle D1, a second phase shift angle D2 and a third phase shift angle D3 according to the unit transmission power Y and the voltage ratio # imgabs1 # of the two sides of the inductor; and performing signal modulation through the first phase shift angle D1, the second phase shift angle D2, the third phase shift angle D3 and the switching frequency fs to obtain a driving signal to control the target DAB converter. Design and implementation of a control strategy are greatly simplified, and the control method is clear in mechanism and easy to control.

The invention relates to the technical field of light monitoring, in particular to a navigation-aid light monitoring method and system based on a power line carrier communication technology. The method comprises the following steps that power line carrier communication modules are installed on all navigation-aid lamplight devices, data communication connection is carried out, lamplight state detection coding and signal modulation processing are carried out at the same time, and all navigation-aid lamplight state coding modulation signals are generated; transmitting each navigation-aid light state coding modulation signal to a central monitoring system, carrying out signal restoration demodulation processing and light fault monitoring analysis to obtain navigation-aid light equipment corresponding to fault abnormity, and responding to generate a navigation-aid light equipment fault alarm signal; and acquiring a navigation-aided environment condition corresponding to the navigation-aided light equipment, carrying out fault abnormity intelligent regulation and control processing, and generating a navigation-aided light equipment fault intelligent regulation and control strategy so as to execute the corresponding navigation-aided light equipment to adjust the working state. According to the invention, intelligent monitoring and management of the navigation-aid lighting equipment can be realized.

The invention discloses a displacement measurement system. The device comprises a laser, an integrated chip and a control module, the integrated chip comprises an optical waveguide structure, a beam splitting module and an optical signal modulation module; the laser is used for emitting a detection beam to the optical waveguide structure; the beam splitting module is arranged in the optical waveguide structure and on a propagation path of the detection light beam; the optical signal modulation module is arranged in the optical waveguide structure and on a propagation path of the reference light beam; the control module is in communication connection with the optical signal modulation module. According to the technical scheme, the optical waveguide structure, the beam splitting module and the optical signal modulation module are arranged in the integrated chip, the detection light beam enters the integrated chip for optical signal processing, then the control module is matched, a low-cost and small-sized displacement measurement system is formed, meanwhile, due to the fact that optical transmission is conducted in the optical waveguide structure, the measurement accuracy is improved, and the measurement precision is improved. And the reliability and the precision of the displacement measurement system are improved.

The invention discloses a multipath effect suppression method for indoor visible light positioning, relates to the technical field of indoor visible light communication and positioning, and aims to solve the problems in the prior art, the method comprises the following steps: constructing a fractional order chaotic signal generator and starting to generate a chaotic sequence signal; the chaotic sequence signals are modulated and loaded to an LED array and a driving circuit thereof, and optical signals carrying fractional order chaotic characteristics are generated and transmitted; after being propagated indoors, the optical signal is acquired by a photoelectric detector, is preprocessed and then is transmitted to a field FPGA (Field Programmable Gate Array); in the FPGA, based on a compressed sensing theory, modeling the received signal and constructing an adaptive sensing matrix to obtain a compressed observation signal; iteratively recovering sparse channel response from the compressed observation signal by adopting a path focusing guide orthogonal matching pursuit algorithm; and the FPGA extracts main path information from the reconstructed sparse channel response, and calculates a final positioning coordinate in combination with an arrival time positioning model. And in indoor visible light positioning, the method has a good capability of resisting a multipath effect.

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 provides a near-field wireless transmission data processing method and system, and relates to the technical field of wireless communication, and the method comprises the steps: obtaining the spectrum characteristics of a near-field communication region and the wireless environment characteristics of the near-field communication region; selecting at least one candidate channel according to the spectrum characteristics, and determining an optimal working channel according to the wireless environment characteristics; determining an initial channel coding strategy according to the state characteristics of the optimal working channel, and adjusting the initial channel coding strategy based on the wireless environment characteristics to obtain an optimal channel coding strategy; inputting the wireless environment characteristics and the state characteristics of the optimal working channel into a pre-constructed modulation prediction model, and outputting an optimal signal modulation mode; the optimal channel coding strategy, the optimal signal modulation mode and the optimal working channel are used for sequentially and correspondingly carrying out data coding, signal modulation and signal sending on the data to be sent, the environment information is fully utilized, dynamic optimization of the transmission strategy is achieved, and therefore the reliability and efficiency of data transmission are improved.