31 results about "Equalization algorithm" patented technology

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 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 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 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 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 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.

This invention discloses a fully hardware-based optical module equalization chip, belonging to the field of optical communication technology. Addressing the problems of high power consumption, high cost, poor security, and low reliability of existing digital signal processor (DSP) architectures, this invention adopts a pure hardware architecture. The entire link has no central processing unit, no DSP, no microcontroller, no executable program code, and no programmable logic involved in core signal processing such as signal equalization, clock recovery, and data arbitration. All control logic is implemented by a pure hardware state machine, and all equalization parameters are fixed in a one-time non-volatile memory before leaving the factory. During operation, no automatic adjustments based on real-time signal quality feedback are performed, and no adaptive equalization algorithm based on real-time signal quality feedback is included. This invention can significantly reduce the power consumption and cost of optical modules and improve the security and reliability of the system.

The invention discloses a cascade multi-level energy storage converter topology and a control method thereof, the DC input side of the topology adopts half-bridge sub-modules powered by independent batteries to be connected in series in groups, and the AC output side adopts multiple groups of H-bridge inversion units to be connected in series to form a secondary cascade structure. According to the topology, by flexibly configuring the number of battery packs and the number of half-bridge sub-modules in each group, the optimal balance between the number of switching devices and the voltage stress of the devices is realized, and the topology has the advantages of a cascaded H-bridge topology and a cascaded half-bridge topology. In the control method level, a switching device is controlled based on carrier stacking modulation and zero crossing point modulation, a double-closed-loop quasi-proportional resonance controller is adopted to carry out closed-loop control on an output voltage waveform, an equalization algorithm based on battery state parameter sorting is combined, high-quality multi-level output is achieved, and meanwhile battery online energy equalization is completed. The problems that a multi-level energy storage converter is large in traditional topology device number, high in cost, large in high-voltage device stress, poor in expansibility, difficult in battery management and the like are solved.

The application particularly relates to a multi-frame medium signal-to-noise ratio channel equalization method based on measured data, which is based on a multi-frame pulse coherent accumulation principle, first performs MTD on single-frame CPI data to realize moving target and ground clutter separation, then extracts target echo for pulse compression processing, then takes multi-frame pulse compression data for envelope alignment and peak value normalization, and after normalization, inter-frame complex accumulation is carried out, on the premise of not needing additional hardware cost investment, the mainlobe-to-sidelobe ratio gain of target pulse compression result is significantly improved, meanwhile, accurate channel equalization is realized based on ideal pulse compression result, the dependence of a traditional channel equalization algorithm on high signal-to-noise ratio is avoided, and MTD moving target detection of each frame of data is considered. The measured result shows that the algorithm can effectively improve the echo signal-to-noise ratio through multi-frame target pulse compression result coherent accumulation under single-frame medium signal-to-noise ratio, then channel equalization is carried out, the algorithm is convenient to realize, and the experimental efficiency in an outfield can be greatly improved.

The present application relates to the technical field of optical fiber communication, and particularly relates to a GRU neural network nonlinear equalization method based on a regression coupling value, which first reshapes the data structure of a received signal sequence and matrixes it; then in the training stage, a nonlinear damage error factor based on a nonlinear Schrodinger equation is used to guide network updating, and in the application stage, a signal is input into a GRU neural network, and a signal nonlinear damage compensation result is obtained through the propagation algorithm of the network. The method of the present application uses a GRU neural network algorithm based on a regression coupling value to realize the capture and compensation of signal nonlinear damage, solves the problems of high algorithm complexity, multiple iteration numbers and limited nonlinear compensation capacity in digital back propagation and learning type equalization algorithms, further improves the effectiveness and practicability of the nonlinear equalization algorithm, and has an important application prospect in the field of digital signal processing related to optical communication.

The application discloses an energy storage system power distribution strategy based on an error function, mainly comprising an event-triggered dynamic consistency algorithm module, an error function-based SOC equalization algorithm module, a virtual voltage drop module, a voltage compensation module and a voltage and current double-loop control module. The event-triggered dynamic consistency algorithm module is added, so that the system changes from "timed communication" to "on-demand communication", while reducing the communication burden, the error function-based SOC equalization algorithm module can dynamically divide the output current of each energy storage unit according to the real-time deviation of the state of charge of each energy storage unit and the average state of charge of the energy storage system, thereby improving the accuracy of the equal division of the output current between energy storage units with different capacities. In addition, the virtual voltage drop module and the voltage compensation module ensure that the voltage is stable within the rated range.

The invention discloses a channel estimation and equalization method suitable for double-satellite cooperative power enhancement, and the method comprises the steps: firstly, designing a pilot frequency pattern which is suitable for estimating two-satellite links at the same time in a double-satellite cooperative transmission scene; based on the pilot pattern, an LS-DFT-based channel estimation algorithm suitable for a scene with an ultra-low signal-to-noise ratio of a single-satellite link is designed, and the noise influence is greatly reduced. Finally, a channel equalization algorithm based on double-star link channel response weighted merging is designed, and the demodulation performance of double-star synthetic signals is improved. According to the invention, the problem that the error of the terminal side channel estimation and equalization algorithm is large due to the low signal-to-noise ratio of a single-satellite link in a double-satellite cooperative power enhancement transmission scene is solved.

The invention relates to the technical field of communication, and particularly discloses a mobile phone audio signal data communication method, which mainly comprises the following steps that: a sending end generates a baseband signal containing a chirp signal lead code, acquires environmental noise and receives feedback channel state information, and dynamically selects an optimal modulation coding parameter and a frequency hopping pattern according to the channel state information; finally, the signal is transmitted through a loudspeaker after being up-converted to an ultrasonic frequency band. A receiving end receives a signal through a special piezoelectric ceramic sensor, after down-conversion, synchronization and channel estimation are completed by using a chirp signal, distortion is compensated by using a hybrid adaptive equalization algorithm, finally, output data are demodulated and decoded, and channel state information is extracted and fed back to a sending end to form closed-loop adaptive control. Through combination of software and hardware and a closed-loop adaptive mechanism, multipath, noise and Doppler influences are effectively overcome, stable and reliable data communication without manual configuration in a complex environment is realized, and user experience is excellent.

The application discloses a communication data transmission method and system of intelligent charging pile, and relates to the technical field of intelligent charging pile communication, which comprises the following steps: based on an equivalent channel response matrix, a reverse power line transmission channel model is constructed, a channel frequency response is extracted, a channel equalization configuration parameter set is generated through a joint optimization equalization algorithm, a pre-equalization OFDM time domain signal is generated according to a signal-to-noise ratio parameter dynamic allocation sub-carrier modulation order, based on the channel equalization configuration parameter set and the pre-equalization OFDM time domain signal, cable power frequency harmonic noise is dynamically monitored, and interference is suppressed through a filtering algorithm to generate a clean power line carrier signal, and based on the clean power line carrier signal, a verified V2G communication control instruction is generated through a cyclic redundancy check method combined with a principal polarization direction characteristic vector. The application constructs an accurate channel model by combining an equivalent channel response matrix and cable characteristics, and realizes dynamic sub-carrier allocation based on a signal-to-noise ratio parameter.

This invention relates to the field of optical communication technology, specifically a low-power system for a high-speed optical module. The system includes a transmitter and a receiver. The transmitter employs a driver chip with integrated equalization functions and a thin-film lithium niobate electro-optic modulation chip. The receiver uses a Retimer chip instead of a traditional Redriver. The Retimer chip performs signal reconstruction, clock data recovery, preprocessing before forward error correction, and bandwidth expansion. It incorporates an adaptive equalization algorithm to compensate for link insertion loss differences and supports protocol-transparent transmission. The system's power consumption is controlled below 15W, exhibiting strong compatibility and effectively solving the problems of insufficient receiver bandwidth and insertion loss compensation, meeting the low-power and high-reliability requirements of high-speed optical modules of 1.6Tbps and above.

The application discloses a time-frequency domain joint channel equalization method for a single-carrier NOMA system, and solves the problems of poor single-carrier anti-frequency selective fading performance and inadaptability to NOMA power multiplexing signals in the prior art; the method comprises the following steps: in the receiving end of the single-carrier NOMA system, the received signal of each frame is transformed into the frequency domain by using FFT, and data separation is performed to obtain a unique word sequence and an effective data sequence; the channel state information is estimated by using prior information and the unique word sequence in the frequency domain, the channel estimation results corresponding to each symbol are obtained, the effective data sequence is subjected to minimum mean square error frequency domain equalization according to the results, and the corresponding frequency domain signal is obtained; the corresponding frequency domain signal is finely adjusted by using a time domain soft decision equalization algorithm of a power allocation factor, and the equalized time domain signal is obtained; the method realizes more accurate channel compensation, and improves the decoding performance and anti-interference capability of the system.

The invention discloses an energy storage system power distribution strategy based on an error function. The energy storage system power distribution strategy mainly comprises an event trigger dynamic consistency algorithm module, an error function-based SOC equalization algorithm module, a virtual voltage drop module, a voltage compensation module and a voltage and current double-loop control module. An event trigger dynamic consistency algorithm module is added, timing communication of the system is changed into on-demand communication, the SOC equalization algorithm module can dynamically equally divide output current of each energy storage unit according to real-time deviation between the charge state of each energy storage unit and the charge state average value of the energy storage system on the basis of an error function while the communication burden is reduced, and the energy storage system is more stable in state. And the accuracy of equally dividing the output current among the energy storage units with different capacities is improved. In addition, through the virtual voltage drop module and the voltage compensation module, it is ensured that the voltage is stabilized within a rated range.

The invention discloses a subblock sparse decision feedback underwater acoustic communication equalization method based on a recursive least squares (RLS) algorithm, which comprises the following steps of: processing a passband signal received by a hydrophone to obtain a baseband symbol, then overlapping and partitioning the baseband symbol, pre-equalizing each subblock by using a subblock sparse decision feedback equalizer based on a sparse Bayesian algorithm, and carrying out subblock sparse decision feedback equalization on each subblock by using a subblock sparse decision feedback equalizer based on a sparse Bayesian algorithm; outputting the pre-equalized data block z; discarding overlapped parts of the overlapped sub-blocks to eliminate interference among the blocks, performing adaptive equalization based on a recursive least square decision feedback equalization algorithm on the remaining effective parts, and outputting data symbols after equalization processing; and performing intra-block iteration on the current sub-block, and then balancing the next sub-block until the balancing of the whole data packet is completed. According to the invention, the reliability of underwater acoustic communication is improved, the balanced output signal-to-noise ratio is improved, and the bit error rate is reduced.