51 results about "Equalization algorithm" patented technology

The invention relates to a resource allocation system for 5G-A Internet of Vehicles network slices, which belongs to the technical field of intelligent traffic systems and comprises a network slice architecture module, a management and control plane module, a programmable module, a safety and fault-tolerant module, a performance monitoring and optimizing module, a mobility management module, a resource arbitration engine and a cross-domain collaborative interface. And the network slice architecture module is used for dividing Internet of Vehicles communication into a plurality of virtual slices based on a 5G-A network slice technology. According to the resource allocation system and method oriented to the 5G-A Internet of Vehicles network slices, accurate control over end-to-end performance indexes is achieved through the slice definition template library and a QoS dynamic mapping mechanism, the problem that key service performance is degraded due to one-step resource allocation of a traditional network is solved, distributed agent collaboration based on the MAPPO algorithm, and the resource allocation efficiency is improved. LSTM load prediction and a heuristic time delay equalization algorithm are combined, so that the system can respond to business demand changes at a millisecond level, and the resource utilization rate is improved.

The invention discloses a communication data transmission method and system for an intelligent charging pile, and relates to the technical field of intelligent charging pile communication, and the method comprises the steps: constructing a reverse power line transmission channel model based on an equivalent channel response matrix, extracting channel frequency response, generating a channel equalization configuration parameter set through a joint optimization equalization algorithm, and transmitting the channel equalization configuration parameter set to a communication module. Subcarrier modulation orders are dynamically allocated according to the signal-to-noise ratio parameter, and a pre-balanced OFDM time domain signal is generated; on the basis of the channel equalization configuration parameter set and the pre-equalization OFDM time domain signal, dynamically monitoring power frequency harmonic noise of the cable, and inhibiting interference through a filtering algorithm to generate a clean power line carrier signal; and generating a verified V2G communication control instruction through a cyclic redundancy check method based on the clean power line carrier signal in combination with the main polarization direction feature vector. According to the method, an accurate channel model is constructed by combining an equivalent channel response matrix and cable characteristics, and dynamic subcarrier distribution is realized based on signal-to-noise ratio parameters.

The invention discloses an image compression method based on a JPEG-LS (Joint Photographic Experts Group-Least Squares) parallel optimization algorithm, which comprises the following steps: calculating local gradient values of to-be-coded data and then merging to obtain a context index Q value, the to-be-coded data being a prediction error of a current pixel; grouping the data to be coded according to the context index Q value; if the to-be-coded number contained in the key group affects the parallelism degree, a controllable distortion value is introduced into the pixel value of the to-be-coded data by using an equalization algorithm, and the group serial number corresponding to the data in the key group is corrected; deploying processing units of parallel channels with the number equal to that of the groups, and scheduling the grouped data to be coded to the processing units to realize pipeline processing; integrating each group of data into coded and compressed data through code stream splicing; the image compression method based on the JPEG-LS parallel optimization algorithm is used for image compression, the system data size is low, and the satellite-ground transmission bandwidth pressure is small.

The invention discloses an OFDM (Orthogonal Frequency Division Multiplexing) signal time-frequency collaborative equalization distortion suppression method, and belongs to the field of wireless communication. According to the invention, the problems of high complexity and poor transmission reliability of the existing short cyclic prefix method are solved. According to the invention, an OFDM system based on time domain oversampling and frequency domain interpolation equalization is adopted at a receiving end, and the oversampling algorithm can enhance the power of useful signals by properly broadening an equalization frequency band, so that the equalization effect is enhanced; according to the frequency domain interpolation equalization algorithm, weighted interpolation processing is carried out on frequency domain receiving signals, so that spectrum details can be better captured, and compensation and correction of an energy migration phenomenon generated by spectral lines in a frequency band due to a channel effect are realized. Through time-frequency cooperative processing at a receiving end, interference can be efficiently suppressed, stable and reliable demodulation precision and communication quality can be ensured, frequency spectrum resource loss caused by additional extension of a cyclic prefix can be avoided, and the frequency spectrum utilization efficiency of the system is further remarkably improved. The method can be applied to the field of wireless communication.

The invention belongs to the technical field of digital array processing, and discloses a broadband digital array adaptive equalization method. The calibration component is responsible for generating and transmitting a standard linear frequency modulation signal under the control of an instruction and timing, and transmitting the standard linear frequency modulation signal to each digital component in the array after the standard linear frequency modulation signal is radiated by an internal monitoring network or an external monitoring horn; the digital component is responsible for receiving the radio frequency signal sent by the calibration component, completing signal amplification, frequency mixing, filtering, AD sampling, DDC and other processing under the control of an instruction and timing to obtain baseband IQ data, and then completing automatic calculation and programming of an equalization coefficient based on an adaptive equalization algorithm; the radar control is responsible for sending a control instruction and timing to the digital assembly and the calibration assembly through an optical fiber transmission network, and automatically completing traversal of all digital channels. According to the invention, the digital array has adaptive broadband equalization capability, so that the problem that the broadband performance is reduced due to factors such as temperature drift and device aging in a long-term working process is solved.

The invention discloses a configurable rapid SRAM (Static Random Access Memory) automatic optimization type selection method which comprises the following steps: traversing all parameter specifications, generating all SRAM instances, extracting frequency, area, power consumption and aspect ratio parameters, and constructing an SRAM data lookup table; obtaining an SRAM parameter requirement input by a user and a configurable equalization algorithm parameter; retrieving the SRAM data lookup table based on an SRAM parameter requirement, and screening to obtain an SRAM alternative list I; based on configurable equalization algorithm parameters, inputting the alternative list I into an equalization algorithm, and calculating to obtain an SRAM alternative list II; and taking the SRAM instance with the highest score as a recommendation scheme based on the SRAM alternative list 2. The method has a configurable function, a user can dynamically modify equalization algorithm parameters, multi-dimensional model selection is achieved, and the balance of the area and the power consumption is achieved.

A model library-based multi-domain evaluation and compensation method for space radio frequency signal quality belongs to the technical field of wireless communication. The method comprises the following steps: determining signal system parameters based on various CCSDS standards and space protocol systems, extracting relevant parameters of space standards in the time-frequency domain, generating standard time-frequency domain radio frequency signals, and converting them to related domains, modulation domains, energy domains and polarization domains to establish a sub-model library of space radio frequency signals in each domain; obtaining time-frequency domain measured signals through a receiver, comprehensively analyzing time domain information and frequency domain information, and constructing a time-frequency domain sub-evaluation model; constructing a multi-domain comprehensive evaluation model by using a parallel data transmission method and a weight data processing method; calculating the weight of each domain evaluation result by using an entropy weight method to obtain a comprehensive quality evaluation result of the spacecraft radio frequency signal; and based on distortion coefficients, using a robust signal equalization algorithm to process the signal, compensating for the influence of distortion effects on signal quality, and improving the robustness and anti-interference ability of signal transmission.

The invention discloses an LED lamp driving control method based on broadband power line carrier communication and a controller, and relates to the technical field of intelligent lighting control. By dynamically selecting the anti-interference subcarriers and combining adaptive modulation, CRC (cyclic redundancy check) and MMSE (minimum mean square error) equalization algorithms, channel sensing communication is realized, and the bit error rate is reduced; pWM and analog dimming weights are dynamically distributed by using an LSTM network and a sparrow optimization algorithm, so that the dimming efficiency and accuracy are improved; driving signals are calibrated in real time through PID closed-loop control, multi-parameter fusion diagnosis and OTA remote repair are combined, and the fault prediction accuracy is improved; the method supports multi-node high-concurrency control, improves the signal injection efficiency, reduces the comprehensive energy efficiency, is suitable for scenes of smart home, industrial lighting and the like, and remarkably improves the system reliability and the user experience.

The present application discloses a dynamic power consumption management system, comprising: an equalization algorithm circuit, a carrier recovery algorithm circuit, and an IQ imbalance algorithm circuit; an equalization algorithm coefficient update circuit connected to an output end of the carrier recovery algorithm circuit and configured to provide equalization algorithm update coefficients to the equalization algorithm circuit; a carrier recovery frequency offset and phase noise calculation circuit connected to an output end of the equalization algorithm circuit and configured to provide carrier recovery frequency offset and phase noise coefficients to the carrier recovery algorithm circuit; an IQ imbalance algorithm coefficient update circuit connected to an output end of the IQ imbalance algorithm circuit and configured to provide IQ imbalance algorithm coefficients to the IQ imbalance algorithm circuit; a signal-to-noise ratio reporting circuit connected to an output end of the IQ imbalance algorithm circuit and configured to acquire a signal-to-noise ratio of the entire system; and a management circuit configured to determine the equalization algorithm update coefficients, the carrier recovery frequency offset and phase noise coefficients, and the IQ imbalance algorithm coefficients based on the signal-to-noise ratio. The present application can reduce the power consumption of chips.

This invention discloses a system and method for acoustic wireless communication that eliminates frequency-selective fading and delay spread. Addressing the problems of frequency-selective fading and delay spread in acoustic wave transmission within the water-based drilling fluid channel inside the drill pipe, it employs orthogonal frequency division multiplexing (OFDM) technology. The transmitting end includes a coding and modulation module, an OFDM modulation module, a power amplification unit, an impedance matching network, and an underwater acoustic transducer. The receiving end includes a synchronization module, a cyclic prefix removal module, a Fourier transform module, a channel estimation module, a channel equalization module, and a decoding module. The synchronization module uses the Schmidl & Cox time-frequency joint synchronization algorithm, the channel estimation module uses the MMSE frequency domain estimation algorithm based on training sequences, and the channel equalization module uses the linear MMSE frequency domain equalization algorithm. Through the co-design of hardware and algorithms, this invention effectively eliminates frequency-selective fading and delay spread, achieving high-speed, low-error-rate acoustic wireless transmission. The data transmission rate can reach 250 kbit / s, and the bit error rate can be reduced to 10%. ‑3 .

The invention belongs to the technical field of wireless communication, and relates to an orthogonal time sequence multiplexing (OTSM) system based on unitary approximate message passing (UAMP) and a balancing method of the orthogonal time sequence multiplexing (OTSM) system based on the unitary approximate message passing (UAMP). According to the method, on the basis of a ZP-OTSM system, embedded pilot frequency data and a zero filling symbol are arranged in a time delay-sequence domain of the ZP-OTSM system; the implementation process of the OTSM system equalization method is as follows: firstly, a time domain channel matrix is divided into a plurality of sub-time domain channel matrixes by using a zero filling symbol, the algorithm implementation complexity can be reduced, then singular value decomposition is performed on the plurality of sub-channel matrixes, and finally, data detection is completed in a time delay-sequence domain by using a UAMP equalization algorithm, so that the algorithm implementation complexity can be reduced. The robustness of the algorithm can be effectively exerted, and the performance is improved.

The invention discloses a signal insertion loss equalization method and equalization circuit. The method comprises the following steps: respectively carrying out first-stage equalization processing and second-stage equalization processing on an original input signal through a continuous time linear equalizer based on a first equalization parameter and a second equalization parameter to generate an equalized output signal; updating a second equalization parameter according to a preset linear equalization algorithm based on the equalized output signal, and performing decision feedback equalization processing on the equalized output signal through a decision feedback equalizer to obtain a feedback tap coefficient of the decision feedback equalizer; weighting the feedback tap coefficient according to a preset weight to generate a weighted coefficient; and comparing the weighted coefficient with a preset noise threshold, and updating the first equalization parameter according to a preset first strategy or a preset second strategy. According to the invention, the problem of over-equalization caused by taking the second-stage equalization value as the first-stage equalization value in the equalization architecture of the joint equalization signal of the decision feedback equalizer and the continuous time linear equalizer is solved.

The application discloses an LED lamp driving control method and controller based on wideband power carrier communication and relates to the technical field of intelligent lighting control; the application realizes channel sensing communication by dynamically selecting an anti-interference sub-carrier, combining adaptive modulation, CRC check and MMSE equalization algorithm, and reduces the error code rate; the application improves the light adjustment efficiency and accuracy by dynamically distributing PWM and analog light adjustment weight by using an LSTM network and a sparrow optimization algorithm; the application improves the fault prediction accuracy by combining multi-parameter fusion diagnosis and OTA remote repair and by real-time calibration of a driving signal through PID closed-loop control; the application supports multi-node high-concurrency control, improves signal injection efficiency, reduces comprehensive energy efficiency, is suitable for scenes such as smart home and industrial lighting, and significantly improves system reliability and user experience.

The invention particularly relates to a multi-frame medium signal-to-noise ratio channel equalization method based on measured data, and the method comprises the steps: carrying out the MTD of single-frame CPI data based on a multi-frame pulse coherent accumulation principle, achieving the clutter separation of a moving target and a ground object, extracting a target echo, carrying out the pulse compression processing, carrying out the envelope alignment and peak value normalization of multi-frame pulse pressure data, and carrying out the equalization of a multi-frame medium signal-to-noise ratio channel. Inter-frame complex number accumulation is carried out after normalization, on the premise that extra hardware cost input is not needed, the main lobe and side lobe ratio gain of the target pulse pressure result is remarkably improved, meanwhile, accurate channel equalization is achieved with the ideal pulse pressure result as the reference, dependence of a traditional channel equalization algorithm on the high signal-to-noise ratio is avoided, and MTD moving target detection of each frame of data can be taken into consideration. The actual measurement result shows that the algorithm can effectively improve the echo signal-to-noise ratio through coherent accumulation of multi-frame target pulse pressure results under the signal-to-noise ratio in a single frame, then carries out channel equalization, is convenient to implement, and can greatly improve the experiment efficiency of an external field.

The invention provides a transmission method of an LED-OAM multiplexing MIMO visible light communication system based on an LMS equalization algorithm, which belongs to the technical field of visible light communication and comprises the steps of construction of the LED-OAM multiplexing MIMO visible light communication system, signal multiplexing and transmission, received signal demultiplexing, channel modeling and signal compensation and dynamic parameterization. According to the method, the problems of inter-mode crosstalk, nonlinear distortion, channel interference and the like in the prior art are solved, the transmission efficiency and stability of a system are improved, the multiplexing characteristic of an OAM light beam, the transmission advantage of an MIMO technology and the balancing capacity of an LMS algorithm are combined, and a new thought and a new technical means are provided for development of the visible light communication field.

This invention discloses a method for simplifying coherent DSP. A pilot signal (PT) is inserted outside the spectrum band of each dual-polarization signal at the transmitter. The receiver extracts the pilot signal through low-pass filtering. Frequency offset, phase noise, and polarization rotation are then estimated and compensated. A simple PAM equalization algorithm or a real 2x2 multiple-input, multiple-output (MIMO) equalization algorithm is then used to eliminate intersymbol interference (ISI), simplifying the coherent DSP. This method achieves not only fast polarization tracking capabilities and low complexity, but also low power consumption.

The application provides a TIADC channel mismatch calibration method and system based on a feedforward equalization algorithm, relates to the technical field of data transmission, and comprises the following steps: obtaining a first sequence obtained by performing digital-to-analog conversion and downsampling processing on a preset PRBS sequence and a second sequence obtained by performing alignment and downsampling processing on an expected sequence of the preset PRBS sequence; performing correlation operation on the first sequence and the second sequence to obtain a correlation operation result, and adjusting the second sequence to be aligned with the first sequence based on the correlation operation result; the correlation operation result comprises a correlation maximum value and a correlation minimum value for measuring the correlation degree; performing equalization processing on the first sequence by using an FFE algorithm to obtain an error sequence between the first sequence after equalization processing and the second sequence after alignment adjustment, performing bias error calibration and gain error calibration based on an expected value and a standard deviation of the error sequence; and performing time mismatch error calibration based on time errors of channels.

The present invention is a video contrast enhancement method and system, especially a video contrast enhancement algorithm based on self-supervised learning. The unsupervised image quality evaluation model is used to guide the training of the video contrast enhancement algorithm model. The present invention can achieve real-time video contrast enhancement on the CPU. Inspired by the image histogram equalization algorithm, the present invention designs an adaptive gray mapping mechanism, uses the unsupervised image quality evaluation model as a guide, and regresses to obtain the Map mapping matrix; different Map mapping matrices will be obtained for different images for video contrast enhancement, without human intervention, which is particularly user-friendly in the use of the algorithm.

The application discloses a kind of optical communication intelligent equalization algorithm based on physical adjustment, including steps S1: initialization neural network;Step S2: carry out forward propagation;Step S3: carry out loss function calculation;Step S4: carry out gradient calculation;Step S5: carry out back propagation;Step S6: carry out neural network variable value analysis;Step S7: reinitialize neural network by estimated physical parameter.The application discloses a kind of optical communication intelligent equalization algorithm based on physical adjustment, traditional static DSP is parameterized as trainable neural network, and then the intelligent update of neural network variable is carried out using optimization algorithm.At the same time, combined with physical knowledge is applied to neural network and neural network information feedback physics, the effect of mutual promotion of both is achieved, so that high-precision parameter estimation and signal impairment compensation can be carried out on optical communication system with unknown parameters.

The invention provides a deep sea target line spectrum passive autonomous detection method and system, and the method comprises the steps: carrying out the frequency domain adaptive line spectrum enhancement of three vibration velocity channels through a vector coherent adaptive line spectrum intensifier, and filtering the broadband background interference; noise interference with the same frequency and different phases is filtered out through a vector sound intensity coherent detector; and carrying out background equalization on an output result of the vector sound intensity coherent detector by combining a two-pass separation filter, carrying out threshold judgment on a spectrum after background equalization, and outputting an autonomous detection result. The method has the advantages that the VCFB-ALE algorithm is used, broadband background interference can be filtered out, high-gain output line spectrums are reserved, and the method has high extraction capacity for the line spectrums under the deep sea complex background; by using a vector coherent detector, ircoherent noise interference in each direction can be further filtered out; the equalization algorithm based on TPSW filtering can effectively eliminate the influence caused by colored noise, and realizes the autonomous detection and extraction of line spectrum signals.

The invention provides a pre-coding method with soft output. The pre-coding method comprises the following steps: step 1, establishing an inter-symbol interference (ISI) channel model and a Thomlinson-Harat Hammer pre-coding (THP) algorithm; step 2, establishing a soft output Viterbi SOVA equalization algorithm; and step 3, establishing an equalization scheme of combining THP precoding with soft output with an SOVA algorithm. The problem that an existing precoding scheme cannot be adapted to a forward error correction code FEC soft decision decoding scene is solved. Compared with the existing scheme, the scheme can significantly improve the balance performance of the system and the error correction performance of the forward error correction code after FEC decoding under the condition of only increasing a small amount of calculation complexity.

The application discloses a time-frequency collaborative equalization distortion suppression method for an OFDM signal, and belongs to the field of wireless communication. The application solves the problems of high complexity and poor transmission reliability of the existing short cyclic prefix method. The application adopts an OFDM system based on time domain oversampling and frequency domain interpolation equalization at a receiving end. The oversampling algorithm can enhance the power of useful signals by appropriately widening the equalization frequency band, thereby enhancing the equalization effect. The frequency domain interpolation equalization algorithm can better capture spectral details by performing weighted interpolation processing on the frequency domain receiving signals, thereby realizing compensation and correction of the energy migration phenomenon of spectral lines in the frequency band caused by the channel effect. Through time-frequency collaborative processing at the receiving end, the application can efficiently suppress interference, ensure stable and reliable demodulation accuracy and communication quality, avoid the spectral resource loss caused by the extra lengthening of the cyclic prefix, and further significantly improve the spectral utilization efficiency of the system. The application can be applied to the field of wireless communication.

This invention discloses an optimized generation method for power transistor drive signals in SLCC-SVF system submodules. Addressing the problem of abnormal switching frequencies, additional losses, and efficiency degradation caused by capacitor voltage sorting-based equalization strategies during operation, this invention proposes a drive signal generation strategy combining synchronous updates and equivalent frequency reduction. This method introduces an adaptive modulation switching mechanism. In normal operating mode, it uses nearest-nearest-level modulation (NLM) combined with a capacitor voltage sorting equalization strategy to generate drive signals. When a submodule switching frequency or temperature exceeds limits, it automatically switches to a carrier phase-shift pulse width modulation (CPS-PWM) module, utilizing its built-in closed-loop voltage equalization algorithm to achieve rapid voltage regulation and anomaly suppression. This strategy effectively suppresses instantaneous switching frequency rises and average frequency fluctuations, achieving coordinated optimization of the power transistor drive signals while balancing voltage equalization and system efficiency.

Aiming at the problem of signal nonlinear distortion caused by nonlinear characteristics of a power amplifier in satellite communication, the invention provides a generalized linear dual-mode switching blind equalization algorithm based on a third-order truncated Volterra structure, and the technical scheme and the application effect are expanded according to the following steps S1 to S3: S1: initializing parameters of a generalized linear blind equalizer based on the third-order Volterra structure; s2, taking a modified constant modulus algorithm and a decision-oriented least mean square algorithm in the linear blind equalization field as theoretical basis, combining signal processing characteristics of a third-order truncated Volterra nonlinear model, deriving to obtain two generalized linear equalizer tap updating formulas suitable for the nonlinear model, and providing algorithm support for a dual-mode equalization mechanism; s3, adopting a staged adaptive equalization strategy to construct a switching mechanism: in an equalization initial stage, using a generalized linear correction constant modulus algorithm of a nonlinear channel, and utilizing a rapid convergence characteristic of the algorithm to realize rapid reduction of a mean square error; and when the equalization process reaches a preset judgment condition, automatically switching to a generalized linear judgment guide algorithm of a nonlinear channel, further reducing the steady-state error through judgment feedback, and considering both the convergence speed and the equalization precision.

The application discloses a field bus relay method with optical channel expansion and related devices, which comprises a main control unit, an electric signal relay unit and an optical channel expansion unit. The electric signal relay unit performs signal regeneration, waveform shaping and time sequence recovery on the attenuated bus signal; the optical channel expansion unit realizes bidirectional seamless conversion between the electric signal domain and the optical signal domain; the main control unit supports flexible configuration of four relay modes of electric-electric, electric-optical, optical-electric and optical-optical, and integrates adaptive equalization algorithm and fault self-healing isolation mechanism. Through the photoelectric hybrid architecture, a single module can adapt to various complex industrial scene scenarios, effectively resist strong electromagnetic interference while extending the communication distance, dynamically compensate signal transmission loss, and realize millisecond-level automatic isolation and network partial self-healing when the network segment fails, thereby significantly improving the communication reliability and maintainability of the field bus system.

The application discloses a signal recovery method of weighted channel equalization and carrier synchronization combination, and belongs to the field of high-frequency wireless communication.The application realizes the method as follows: a constant modulus blind equalization algorithm is used to quickly estimate a channel, signal amplitude is quickly converged, and a carrier offset is preliminarily obtained, and the interference of channel characteristics on carrier offset estimation and compensation is weakened; a feedback mechanism is used to feed back residual errors of a signal compensated with a carrier parameter after carrier synchronization to an equalization module to participate in the estimation of inter-symbol interference and channel characteristics; the equalization errors of different equalization algorithms are calculated according to the signal residual errors obtained by using a decision-directed algorithm, the weights of the equalization errors in the joint errors are calculated, the joint errors are dynamically adjusted, the signal residual error weights are gradually improved, the complex channel environment is accurately estimated, the tap coefficients are updated and compensated according to the joint errors, the accuracy of the recovery of new symbols coming at the next moment is improved, and the robustness and accuracy of the demodulation and recovery of high-frequency signals are improved.

The invention discloses a malicious code detection method and system based on improved GhostNetV2 and a medium, and relates to the technical field of network information security, the method comprises the following steps: extracting a binary file of an Android software code to be detected, and converting the binary file into an RGB image; performing image enhancement processing on the RGB image by using a local histogram equalization algorithm; converting the RGB image into a single-channel image, and extracting corresponding image texture features; and inputting the image texture features into a trained lightweight malicious software detection model of the improved GhostNetV2 for detection to obtain a detection result. According to the method, image enhancement is carried out through local square equalization, the detection precision is effectively improved, an improved lightweight deep learning model is adopted to detect malicious software, the parameter quantity is reduced, the detection efficiency is improved, and the detection performance and robustness are enhanced.

The invention discloses an electronic access cabinet resource scheduling method and system based on a dynamic equilibrium algorithm, and relates to the technical field of electronic access cabinet management.The method comprises the steps that user requests and cabinet body state information data are collected, and a dynamic equilibrium objective function is constructed based on the user requests and the cabinet body state information data; the waiting time, the cabinet utilization rate and the priority response are fused, and a dynamic equilibrium target model is constructed; performing scheduling calculation based on the dynamic equilibrium target model, and applying capacity, authority, time and security constraint conditions in the scheduling calculation; and issuing and executing the dynamic balance target model output distribution scheme after the dynamic balance target model output distribution scheme is completed, and triggering a dynamic re-planning mechanism when an emergency occurs. According to the method, the request waiting time is shortened, the utilization rate of the cabinet body is balanced, and the energy consumption and the opening and closing frequency are optimized by combining the dynamic balancing target model with the multi-dimensional constraint, and the operation efficiency and the service quality of the electronic access cabinet are remarkably improved by quickly recovering through re-planning in an emergency.

A variable step-size algorithm based on a modular division multiplexing (MDM) system, belonging to the field of communication technology, is disclosed. It includes step S1, which calculates the channel crosstalk strength, applies a blind equalization algorithm, and then performs data transmission through signal processing. Step S2 involves using a blind equalization algorithm in the signal processing section, and introducing a sigmoid function to dynamically control the iteration step size, thereby improving the convergence rate and reducing steady-state error. Compared to the traditional CMA algorithm, the improved variable step-size CMA algorithm of this invention effectively solves the contradiction between convergence speed and steady-state error.

The invention discloses a CLAHE-unsupervised learning InSAR geological disaster hidden danger intelligent identification method and system, and the method comprises the steps: obtaining multi-temporal SAR data of a research region, and carrying out the processing of MT-InSAR to generate an average deformation rate field; noise suppression and weak signal enhancement are carried out through non-local mean filtering and wavelet domain multi-scale processing; a contrast-limited adaptive histogram equalization algorithm is adopted to improve the local deformation contrast, and an enhanced deformation intensity graph is generated; constructing a feature space in combination with the enhanced strength graph and an original deformation value, and preliminarily identifying a hidden danger region by using an unsupervised clustering algorithm and space-deformation double-constraint region growth; optimizing a boundary topological relation through triangulation and a minimum convex hull algorithm; and finally, calculating a comprehensive quality index based on geometric consistency, signal intensity and spatial aggregation degree, realizing risk grading, and outputting a vector boundary, a deformation parameter and a grade result.