1224 results about "Equalization" patented technology

The shutdown of a compressor (10) installed in a refrigerant circuit (2) in air conditioning or refrigeration system is controlled so as to prevent unpowered reverse rotation of the compressor. Prior to terminating electric power to the compressor drive motor (24), the pressure within the system is relieved and substantially equalized across the compressor, thereby eliminating the possibility of unpowered reverse rotation of the compressor at shutdown. Pressure relief and equalization may be achieved by reducing the operating speed of the compressor to a low forward speed for a period of time prior to deenergizing the compressor drive motor. Pressure equalization may also be achieved by driving the compressor in reverse rotation prior to deenergizing the drive motor.

The invention discloses an HPLCamp (High Performance Liquid Chromatography) based on deep learning. The invention discloses an HRF dual-mode communication adaptive coding modulation and anti-noise method. The method comprises the following steps: acquiring an optical radio frequency signal amplitude-phase change rate and synchronously sampling and normalizing; calculating a node amplitude-phase residual error to generate a nonlinear mapping coefficient; monitoring coherent change to solve a drift trend, adjusting a modulation coding optimization scheme, compensating distortion and outputting an anti-noise result. According to the method, the instantaneous amplitude and phase of the optical radio frequency dual-mode signal are extracted, a multi-dimensional amplitude-phase characteristic matrix is formed in combination with time domain synchronization and a normalization template, differential residual modeling and nonlinear mapping coefficient calculation are carried out between impedance nodes, and dynamic compensation of amplitude-phase mismatch and envelope offset is achieved. A drift trend quantity is generated based on coherent offset parameter differentiation, feedback is provided for modulation format and coding strategy optimization, amplitude equalization and phase correction are completed, the signal synchronization degree and amplitude-phase consistency are improved, and the steady-state response and anti-disturbance performance of a transmission link are enhanced.

The invention provides an Internet of Vehicles broadcast frame radio frequency fingerprint identification method based on LMMSE channel estimation. The method comprises the following steps: obtaining subcarrier data in a resource grid based on an obtained signal of a physical side link broadcast channel; performing root-mean-square delay expansion and channel autocorrelation matrix construction based on the subcarrier data, and combining priori signal-to-noise ratio regularization and time domain windowing operation to obtain a channel estimation value; initial radio frequency fingerprint features are obtained through the channel equalization and the channel estimation value, and the improved neural network and the initial radio frequency fingerprint features are utilized to carry out classification identification on the Internet of Vehicles equipment. Influences of noise and channels on fingerprints are effectively considered, and the purpose of extracting fingerprints of different devices in a complex environment more accurately is achieved.

The invention relates to the technical field of earphone noise reduction processing, and discloses a motorcycle riding earphone noise reduction method combining different noise reduction algorithms, comprising the following steps: acquiring an original audio signal, and distributing the original audio signal to each processing module; a preprocessing signal is generated, voice activity information is determined, and environmental noise energy information is calculated; according to the environmental noise energy or the auxiliary information, adaptively adjusting a high-low noise energy threshold value; the original signals are input into the traditional and AI noise reduction module in parallel to generate two paths of noise reduction signals; based on the environment noise, the voice information and the threshold value, performing weighted fusion to generate an output signal; and carrying out equalization and compression processing on the output signal, and driving the loudspeaker to output. According to the invention, comprehensive judgment on environmental noise energy information, voice activity information and riding speed is introduced, an output signal of a traditional noise reduction module is set to be zero in a high-speed voice-free environment, and AI noise reduction is combined, so that tone quality distortion of a traditional noise reduction algorithm in a noise environment is effectively avoided.

The invention relates to the technical field of converter power averaging and circulating current suppression, in particular to a power averaging and circulating current suppression method for parallel operation of a plurality of grid-forming type energy storage converters, which averages power through communication interaction and generates frequency and voltage compensation quantity by adopting a first regulator and a second regulator to realize accurate power averaging; meanwhile, the total current is measured locally, and virtual impedance feedforward control is adopted, so that rapid suppression of the high-frequency circulating current is realized. According to the invention, high-precision active power and reactive power equalization is realized, the capacity utilization rate is improved, high-frequency circulating current is effectively suppressed, loss and thermal stress are reduced, dynamic performance and system reliability are considered, a cooperative control architecture with complementary advantages is formed, adaptability to complex working conditions and system stability are enhanced, and engineering applicability is improved.

The invention relates to the technical field of intelligent communication, and discloses an end-to-end optimization method, a signal constellation geometry and probability joint shaping optimization method in an end-to-end intelligent communication system, and a communication device based on a neural network. According to the method, a transmitter is constructed by using a neural network, and a received signal passes through a two-stage equalization processing system to form an end-to-end optimization framework without assistance of a channel model. The transmitter adopts a modular design, can realize joint optimization of constellation probability shaping (PS) and geometric shaping (GS), and performs joint updating on all trainable parameters of the system based on a total loss function containing an equilibrium error and a decoding error through a back propagation algorithm. According to the invention, computing resources are effectively saved; the two-stage equalization system can accurately compensate channel damage, the realized PS and GS joint optimization can significantly improve the performance of the communication system and reduce the bit error rate, and the method has good performance advantages and practical value in an actual optical fiber communication system.

The invention provides a signal decoding method based on a PSI5 interface, and relates to the technical field of signal decoding, and the decoding method comprises the following steps: processing and adjusting a received PSI5 signal to obtain an accurate identification signal; and extracting a clock signal from the PSI5 signal, designing a clock compensation algorithm according to the quantum neural network, and dynamically adjusting the clock signal to obtain clock synchronization data. And determining a data frame boundary, and decoding the accurate identification signal to obtain original data. And performing comparative analysis on the original data and the PSI5 signal to obtain comparative difference data, judging whether the comparative difference data accords with a preset error type or not, and performing corresponding processing. According to the invention, fractional calculus processing is carried out on the received signal, then signal distortion is corrected by using a channel equalization method, and the quantum neural network is constructed to dynamically adjust the clock signal, so that clock synchronization is realized, a reliable time reference is provided for accurate processing of the signal, and the accuracy of signal decoding is improved.

The invention relates to the technical field of wireless communication, in particular to a multimode chip core architecture system realized based on a software radio technology, which comprises an anti-interference module used for executing real-time optimization on a multi-system compatible baseband data stream and calling a dynamic compensation mechanism based on dynamic frequency shift characteristics in an environment characteristic data set, adjusting a local frequency source and a channel equalization parameter through multi-stage compensation operation to obtain an anti-interference enhanced data stream; and the packaging module is used for packaging the anti-interference enhanced data stream and the positioning data into a time-hopping pulse-direct sequence code division multiple access fusion frame structure and sending the fusion frame structure through a radio frequency unit. Through an ASIC and SDR hybrid architecture and a four-level hierarchical design, a multi-system communication function is integrated, and the hardware efficiency is improved and the power consumption is reduced.

The invention relates to the technical field of communication, and discloses a network communication chip signal interference suppression processing method. The method comprises the following steps: acquiring a local oscillator phase jitter sequence in real time through an on-chip phase noise monitoring unit; estimating Doppler frequency shift and channel coherence time based on the sequence; dynamically adjusting the closed-loop bandwidth of the phase-locked loop; and generating a phase compensation signal, and performing time-varying channel minimum mean square error equalization in combination with a received baseband signal to eliminate inter-symbol interference. The system integrates a phase noise monitoring function module, a channel parameter estimation function module, a phase-locked loop bandwidth regulation function module, a phase compensation generation function module and an interference joint elimination function module. By means of dynamic bandwidth reconstruction and high-precision phase compensation, the bit error rate under high-speed movement is remarkably reduced, the 5G millimeter wave communication standard requirement is met, and the method has the advantages of being achieved on a whole chip, low in delay and high in robustness.

The invention discloses a cooperative control system for an input-series output-parallel dual-active-bridge inverter, and relates to the technical field of power electronic converter control, an input voltage equalizing control IVSC loop is set for m-1 DAB sub-modules, and input voltage equalization of the DAB sub-modules is realized by adjusting phase shift angles of the sub-modules; an output voltage control OVC loop is set for the output DC bus voltage of the whole ISOP-DAB system to stabilize the DC bus voltage, a PIR controller is adopted in the OVC loop, and the resonant frequency is set to be twice of the fundamental frequency of the AC side, so that selective high gain is provided at the position, the frequency doubling fluctuation of the DC bus voltage is inhibited, and the frequency doubling fluctuation of the DC bus voltage is inhibited. According to the method and the device, the regulation quantity of the IVSC loop and the regulation quantity of the OVC loop are superposed to carry out cooperative control, so that the effective suppression of the frequency doubling fluctuation of the DC bus voltage and the automatic equalization of the power of each module are accurately realized on the premise of not increasing the hardware complexity.

The invention discloses a background noise body wave extraction method and device based on distributed optical fiber acoustic sensing, and the method comprises the steps: obtaining an original phase difference signal along an optical fiber channel through a distributed optical fiber acoustic sensing system, and converting the original phase difference signal into strain rate data according to system demodulation parameters; performing preprocessing such as noise suppression and frequency energy balance on the strain rate data; calculating an autocorrelation function for the preprocessed signal, and superposing autocorrelation results of a plurality of time segments; performing band-pass filtering on the superposition autocorrelation function in a target frequency band, and extracting a body wave reflection response in background noise; and in order to eliminate the influence of the zero-time pulse in the shallow layer or weak reflection signal, carrying out mean value removal processing on the extraction result along the space direction to obtain a zero-offset body wave reflection response. The method can effectively describe the discontinuity from a superficial sedimentary layer and a fracture to a deep mourhua surface and even a lithosphere, and makes up for the defects of a conventional seismic station method.

The invention belongs to the technical field of wireless communication, and particularly relates to a communication method and device based on MQAM-OFDM modulation, a medium and equipment, and the method comprises the steps: generating a random data source, carrying out MQAM modulation, generating a serial modulation signal, carrying out serial-parallel conversion and subcarrier mapping, and obtaining frequency domain subcarrier data; performing inverse fast Fourier transform on the frequency domain subcarrier data to generate a time domain OFDM symbol, and adding a cyclic prefix to obtain a sending signal; transmitting the sending signal based on a multipath channel model; receiving a sending signal and removing a cyclic prefix part in the sending signal to obtain an effective OFDM signal; performing fast Fourier transform on the effective OFDM signal to recover frequency domain data, and obtaining a frequency domain receiving symbol sequence; performing channel estimation and equalization on the frequency domain receiving symbol sequence to obtain a frequency domain symbol estimation value; and performing MQAM demodulation on the frequency domain symbol estimation value, and recovering the parallel data stream into the serial bit stream to complete data recovery.

The invention discloses a high-speed serial signal linear equalization circuit which comprises an input terminal, a continuous time linear equalizer (CTLE), a super source follower, a variable gain amplifier (VGA) and an adaptive feedback. The input end is connected with a 100-ohm internal resistance differential signal source of the transmitting end through a channel; the equalization circuit CTLE is connected to the output end of the input end connection module, two groups of resistance switches (RsMF and RsHF) of the CTLE module are respectively controlled by 4-bit binary codes to enable source degeneration resistors Rs of two stages of CTLEs to be variable, two groups of capacitance switches (CsMF and CsHF) are respectively controlled by 2-bit binary codes to enable source degeneration capacitors Cs of the two stages of CTLEs to be variable, and the two groups of capacitance switches (CsMF and CsHF) are respectively controlled by 2-bit binary codes to enable source degeneration capacitors Cs of the two stages of CTLEs to be variable. The change of a zero pole of the circuit is realized through the change of the source degeneration resistor Rs and the source degeneration capacitor Cs, and the adjustability of the difference between the high-frequency gain and the low-frequency gain of the circuit is realized, so that the multi-gear adjustability of the equalization capability is realized.

The invention relates to the technical field of digital demodulation, in particular to a digital demodulation method suitable for deep ultraviolet light communication, which comprises the following steps of: adopting multiple delay processing with half code element width, and respectively carrying out double extraction processing on a discrete sampling signal which is not subjected to delay processing and a plurality of delay sampling signals to obtain a plurality of delay extraction signals; in this way, the key sampling time in the coverage code element period can be ensured, and a basis is provided for subsequent accurate synchronization; a plurality of delay extraction signals are respectively input into corresponding equalization processing units, a preset local training sequence is loaded to each equalization processing unit to obtain a plurality of equalization filtering signals, and the plurality of equalization filtering signals and the preset local training sequence are respectively subjected to related judgment processing, so that the inter-symbol interference is inhibited, and meanwhile, the equalization processing efficiency is improved. The synchronization signal can be quickly screened out, so that the problem that inter-symbol interference and synchronization are difficult to consider in a traditional demodulation method is solved, and the demodulation efficiency and reliability are remarkably improved.

The invention discloses an LPO wired receiver adopting adaptive CTLE based on a genetic algorithm, and the receiver comprises an analog front end, a data sampler, an edge sampler, an error sampler, a 1: 32 demultiplexer, a verification module, an eye pattern monitor, a genetic algorithm module, clock recovery logic, and a clock path. The eye pattern monitor is used for calculating the eye pattern closure degree according to the data of the data sampler and the error of the error sampler and outputting the eye pattern closure degree to the genetic algorithm module; and the genetic algorithm module is used for realizing parameter adaptive control of a continuous time linear equalizer CTLE and a variable gain amplifier VGA in the analog front end. The invention aims to apply the genetic algorithm to the adaptive equalization of the adaptive continuous time linear equalizer, so that the adaptive continuous time linear equalizer has stronger global search capability and lower power consumption and is not easy to fall into local optimum, and the complexity and power consumption of the adaptive continuous time linear equalizer are reduced. And the real-time and energy-saving requirements are met.

The invention discloses a temperature compensation equalizer with adjustable equalization slope linearity, and relates to the technical field of microwave integrated circuits. The equalizer comprises a temperature compensation driving module and a temperature compensation equalization module. The temperature compensation driving module generates a control voltage changing along with the temperature by using the negative temperature characteristic of the diode. The temperature compensation equalization module comprises an equalization circuit formed by resonators and a pair of stacked switch tubes, and realizes a temperature compensation function by controlling voltage to adjust insertion loss; meanwhile, by changing the capacitance value of the equalization slope linearity adjusting capacitor C3 which is connected with the series resonator in parallel, the linearity of the equalization slope can be flexibly adjusted on the premise that the equalization quantity is kept unchanged. According to the invention, the temperature compensation and equalization functions are integrated, the structure is compact, the performance is stable, the slope linearity can be flexibly adjusted, and the device is suitable for gain frequency and temperature compensation in a broadband radio frequency link.

A receiver device receives a signal transmitted to the receiver device over an optical communication channel and equalizes the signal using a multi-decision feedback equalizer of the receiver device. Equalizing the signal includes generating, using at least one decision feedback equalizer configured with a plurality of slicing thresholds, decisions on symbols transmitted to the receiver device, detecting that a decision made by the decision feedback equalizer is unreliable. Equalizing the signal also includes, in response to detecting that the decision is unreliable, tracking, for a tracking period, multiple decision paths that generate respective possible sequences of symbols transmitted to the receiver device, determining error energies in decisions made, during the tracking period, in respective decision paths, and selecting, based on a comparison between the respective error energies, a sequence of symbols generated in one of the multiple decision paths as an output of the multi-decision feedback equalizer.

Serializer / deserializer (SerDes) modules, equalizers, and equalization techniques having robust parameter initialization may substantially reduce convergence time. One illustrative equalizer includes: a discrete-time, finite impulse response (“FIR”) filter to convert a receive signal to a filtered signal; a decision element to determine channel symbols represented by the filtered signal; and a controller. The controller is configured to, for each of multiple values in a search range, estimate a performance of the equalizer based on the channel symbols and at least one of the filtered signal or an input signal to the decision element; configured to find a centroid value based on the performance for each of the multiple parameter values in the search range; and configured to derive an initial value for the parameter from the centroid value.

Disclosed is a receiver including a pre-processing block that pre-processes a received signal transmitted from an external transmitter and generates a pre-processing signal, an equalization block that generates an equalization signal based on the pre-processing signal and error threshold values, and a threshold generation block that generates the error threshold values and data threshold values. The threshold generation block generates a delay signal obtained by delaying the equalization signal by a unit time interval, generates a filter signal based on subtracting the delay signal from the equalization signal, and generates the error threshold values and the data threshold values based on the filter signal.

The invention provides an optical module and a link optimization method and system. The method comprises the following steps that: the microcontroller issues a gain value, so that the continuous time linear equalizer performs equalization processing on an input voltage signal; the time processing module is used for sampling a voltage signal output by the continuous time linear equalizer to obtain sampling data; and the microcontroller determines the gain configuration of the continuous time linear equalizer based on the sampling data under different gain values. Compared with the prior art, the power consumption and the time delay of the module are equal to those of a traditional LPO, and meanwhile, the self-adaptive capability which is only achieved by a DSP scheme in the past is obtained. The application scene and deployment flexibility of the LPO technology are expanded; and meanwhile, the link performance can be always maintained near the optimal point, so that the risk that the performance is continuously deteriorated until error codes occur is fundamentally avoided, and intelligent maintenance of the link state is realized.

The invention relates to the technical field of audio signal processing, and provides a self-adaptive frequency compensation system for small-sized multichannel sound equipment and a control method thereof, and the self-adaptive frequency compensation system for the small-sized multichannel sound equipment comprises an audio signal acquisition module, a frequency analysis module and a dynamic filtering compensation module which are electrically connected with one another in a communication manner; the audio signal acquisition module is used for acquiring an audio signal at a preset sampling rate through the ADC module; the frequency analysis module is used for executing FFT (Fast Fourier Transform) on the acquired audio signals to calculate energy distribution of corresponding frequency bands and identify missing or attenuated frequency ranges; and the dynamic filtering compensation module is used for selecting an FIR (Finite Impulse Response) or IIR (Infinite Impulse Response) filter according to a frequency analysis result, dynamically adjusting a filter coefficient and a gain value, performing real-time filtering processing on the audio signal and outputting a compensated audio signal. The missing frequency is identified and compensated by performing analysis, filtering, equalization and other processing on the audio signal.

The invention discloses an energy storage cross-regional cooperation AGC optimization control method and equipment considering conditional SOC equalization, and the method comprises the steps: firstly evaluating the equivalent charge state and dynamic frequency modulation capability of an energy storage system in each region in real time, and judging whether a cross-regional cooperation condition is satisfied or not; if yes, a multi-objective optimization model is established, and the model takes a plurality of objective functions as optimization objectives, including enabling the equivalent state of charge to be balanced, minimizing inter-region tie line transmission power and maximizing the residual frequency modulation capability, and meanwhile, takes power grid operation parameters as constraint conditions. And by solving the model, obtaining an optimal output instruction of the energy storage system in each region in the next AGC control period, and issuing the optimal output instruction to the corresponding energy storage system for execution. The invention aims to support other regions through the tie line when the frequency modulation margin of the energy storage system in the interconnected region is sufficient, avoid frequency fluctuation caused by over-limit of the energy storage SOC and insufficient frequency modulation of a thermal power generating unit, improve the safety and reliability of energy storage frequency modulation, effectively stabilize the frequency fluctuation of a power grid, and enhance the anti-disturbance capability of a power system.

The invention discloses a guide bearing bush automatic grinding system and method based on multi-parameter cooperative control, and relates to the field of intelligent grinding of high-precision bearing parts. The system comprises a state sensing module, a rhythm analysis module, a stage identification module, a target weight adjustment module, a scheduling coordination module, a curved surface contact equalization module, a clamp thermal deformation compensation module, a regional energy integration module and an end point intelligent discrimination module. The self-adaptive frequency adjustment and priority scheduling of each control variable are realized by collecting pressure, temperature rise, displacement, vibration and microchip information in real time and calculating the change rate of the information; in combination with grinding stage identification and task target weight reconstruction, control strategy switching is optimized; and high-consistency morphology control is realized through pressure spectrum correction, thermal drift compensation and regional energy adjustment. The method has the advantages of being fast in dynamic response, high in control precision, intelligent in abnormal intervention and the like, and the grinding quality and production efficiency of the guide bearing bush are remarkably improved.

The invention provides an internal flow field balancing device for a high-temperature and high-pressure closed container. Comprising a pulley, a transmission mechanism, a clutch, a turbulent flow mechanism, a frequency modulation motor, a sealed cabin, a pressure maintaining cabin and a pressurizing device, a rotating cage is arranged on the pulley and is driven to rotate through a rotating mechanism; a tray is hung on the rotating cage, and an accommodating object is accommodated on the tray; the transmission mechanism is arranged at the closed end of the tank body; one end of the clutch is connected with the transmission mechanism; the turbulence mechanism is provided with a transmission shaft, blades, a driving gear and a sealing ring are arranged at the extension end of the transmission shaft, the blades are used for adjusting airflow distribution in the tank body, and the driving gear is connected with the input end of the transmission mechanism and used for driving the transmission mechanism; the sealed cabin is arranged outside the sealing head at the closed end of the tank body; the pressure maintaining cabin is arranged on the outer side of the sealed cabin, and a sealing ring is arranged in an inner cavity, adjacent to the pressure maintaining cabin, of the sealed cabin. The pressurizing device is connected with the pressure maintaining cabin, and pressure of the pressurizing device acts on the outer side of the sealing ring to maintain pressure balance on the two sides of the sealing ring.

The invention discloses a high-reliability storage unit fault-tolerant control system, which relates to the technical field of storage unit fault-tolerant control and comprises a dynamic charge mapping model module, a potential inversion driving link module, a multi-channel phase conjugate regulation and control module, a nonlinear charge turn-back channel module and a self-adaptive capacitance balance control module. And the dynamic charge mapping model module is used for constructing a dynamic charge mapping model, extracting a potential transition curve in a high-frequency read-write switching stage by taking a parasitic capacitance real-time response parameter of a parallel bit line in the storage unit as an input variable, and generating a dynamic coupling map for identifying a pseudo-synchronous charge accumulation region based on the potential transition curve. According to the invention, real-time suppression and energy balance of parasitic capacitance are realized through dynamic charge mapping and potential inversion, and potential stability of a bit line is maintained; and energy closed-loop control is realized through nonlinear charge turn-back and self-adaptive capacitance regulation and control, charge regeneration is prevented, so that the stability and the reliability of the storage unit are improved, and the service life of the storage unit is prolonged.

The invention relates to the technical field of power distribution, and discloses a multi-objective optimization energy storage EMS power distribution method considering PCS health degree, and the method has the remarkable advantages that 1, the power of a low-health PCS is constrained through an SOH score, the service life of the PCS is prolonged, the fault rate of a high-aging risk PCS is reduced, and the average service life is prolonged; secondly, an SOC balance item is implanted, a real-time compensation algorithm is designed, the SOC range is stabilized within 5%, and the problem of SOC unbalance is solved; thirdly, the weight is dynamically adjusted in an emergency scene, the frequency modulation requirement is preferentially guaranteed, the scheduling capability is improved, and the available power maintenance rate is improved according to test and display of a 200MW power station; fourthly, the health assessment model early warns high-risk PCS in advance, the operation and maintenance response time is greatly shortened, the annual maintenance cost is greatly reduced, and the LCOS of the whole life cycle is reduced; and 5, the response time of the optimization algorithm is less than 200ms, and the AGC frequency modulation second-level response requirement is met.

An electronic device may include wireless circuitry having a first circuit, a second circuit, and an impedance matching network coupled between the first and second circuits. The impedance matching network can include a transformer having a primary coil and a secondary coil and a first feedforward resistor having a first terminal coupled to the primary coil and having a second terminal coupled to the secondary coil. The impedance matching network can further include a second feedforward resistor coupled between the primary coil and the secondary coil. The first and second feedforward resistors can be configured to provide a flat passband gain response for the impedance matching network.

The application discloses a loudspeaker phase equalization signal processing system and a pole parameter determination method thereof, which equalizes the loudspeaker phase response in a set equalization frequency range to linear phase, and the system comprises a phase controller and a group delay equalizer in cascade; the phase controller is a first-order IIR all-pass filter; the group delay equalizer comprises S low-order IIR all-pass filters in cascade, wherein the first N1 low-order IIR all-pass filters are low-order causal IIR all-pass filters, and the last N2 low-order IIR all-pass filters are low-order non-causal IIR all-pass filters. The application can equalize the loudspeaker phase through the all-pass filter with low operation complexity and parameters, can significantly reduce the calculation amount required by low-frequency phase equalization, can improve the linear degree of the loudspeaker phase response, and can improve the sound quality and listening experience.

The invention relates to a radio frequency fingerprint identification method based on knowledge and data hybrid driving, which comprises the following steps of: on one hand, learning channel characteristics of an input signal by using a SupportNet model, and carrying out equalization processing on the signal so as to remove the influence of Doppler frequency offset on the signal and obtain a signal irrelevant to a channel; on the other hand, radio frequency fingerprint features are extracted in parallel through the knowledge graph and the one-dimensional convolutional network, the radio frequency fingerprint features extracted in parallel through the knowledge graph and the one-dimensional convolutional network are spliced, feature recombination is achieved through the attention module, enhancement of effective features and weakening of irrelevant features are achieved, and finally classification is conducted through the classifier. Therefore, the radio frequency fingerprint identification performance in a high-speed moving scene is improved. According to the method, the signal is subjected to equalization processing by using a SupportNet model, radio frequency fingerprint identification is realized by combining a convolutional neural network and a knowledge graph, and the method is suitable for a high-speed mobile channel.

Embodiments of the present application provide a parameter adjustment method, a communication device, and a storage medium. The method is applied to a first communication device having a first transmit link and a first receive link. The method comprises: acquiring a first transmit-end transfer function corresponding to the first transmit link (110); by means of the first receive link, receiving a first signal sent by a second communication device, the second communication device having a second receive link, and the first signal comprising a first receive-end transfer function corresponding to the second receive link (120); on the basis of the first transmit-end transfer function and the first receive-end transfer function, obtaining a first feed-forward equalization parameter corresponding to the first transmit link (130); and, on the basis of the first feed-forward equalization parameter, performing parameter adjustment on feed-forward equalization of the first transmit link (140).