233 results about "Channel parameter" patented technology

The invention discloses a 16-channel high-precision synchronous data acquisition system based on a multi-parameter model, which belongs to the technical field of data acquisition and comprises a multi-parameter model driving module, a self-adaptive channel scheduling module, a closed-loop calibration compensation module and a collaborative synchronous optimization module. The multi-parameter model driving module establishes a multi-dimensional optimization model fusing the sampling rate, the channel load and the error trend to output optimization parameters; the adaptive channel scheduling module performs real-time quality evaluation and dynamic resource allocation according to the optimization parameters to generate a scheduling instruction; the closed-loop calibration compensation module monitors a synchronization error in real time and calculates a compensation parameter; the collaborative synchronous optimization module realizes inter-channel parameter sharing and collaborative control to generate a synchronous control signal, and feeds back an optimization result to the multi-parameter model driving module to form a closed loop, and through deep coupling and closed loop feedback of the four modules, high-precision synchronization of multi-channel data acquisition is realized, and the synchronization precision reaches + / -35ns.

The invention discloses a multipath channel parameter reconstruction and beam coverage prediction method, and relates to the technical field of wireless communication. Aiming at the problems of low data utilization efficiency, limited environment modeling precision, strong coupling of measured data and antenna beam configuration and the like in the prior art, the method comprises the steps of configuring antenna beams and orientation parameters, collecting reference signal receiving strength, performing deterministic channel modeling simulation, establishing a mapping model, performing sparse recovery, constructing a channel propagation model, evaluating a channel map and the like. In combination with a coherence perception weighting network (CARE-Net) algorithm and ray tracing (RT) physical prior guidance, accurate reconstruction from a low-dimensional reference signal receiving strength (RSRP) measurement value to a high-dimensional multipath parameter is realized. The method has the advantages that the reconstructed multi-path parameters are decoupled from the antenna configuration, the method has the cross-beam / cross-configuration generalization prediction capability, the channel coverage performance under different antenna configurations can be accurately predicted, a reliable basis is provided for wireless network optimization, and the method is low in cost, high in precision and strong in generalization.

The invention discloses an eye pattern generation method based on channel simulation, a storage medium and electronic equipment, and the method comprises the steps: carrying out the channel simulation according to a target channel parameter, a signal source parameter and an initial code pattern sequence, and generating jitter-free initial eye pattern data; obtaining a deterministic jitter parameter and a random jitter parameter, and generating a deterministic jitter time sequence based on the obtained deterministic jitter parameter and the initial code pattern sequence; generating a random jitter time sequence based on the obtained random jitter parameter; synthesizing the deterministic jitter time sequence and the random jitter time sequence to generate a total jitter time sequence offset sequence; and modulating time sequence information in the initial eye pattern data by using the total jitter time sequence offset sequence to generate a target eye pattern. Simulation of deterministic jitter and random jitter is added in the channel simulation process, and the consistency of the simulation result and the signal characteristic of a real communication scene is greatly improved.

The invention discloses an ultraviolet light communication system channel parameter self-adaptive adjustment method and device, and the method comprises the steps: collecting and preprocessing original multi-dimensional data to obtain a channel state vector, the original multi-dimensional data comprising original environment data, original system data and original link data; performing channel state evaluation according to the channel state vector to obtain a channel comprehensive state and a channel state trend; generating a parameter self-adaptive adjustment strategy according to the channel comprehensive state and the channel state trend, converting the parameter self-adaptive adjustment strategy into a standardized execution instruction, and adjusting corresponding parameters of the ultraviolet light communication system; and feedback data acquisition is carried out, and a strategy validity determination result and key performance data after strategy execution are obtained. According to the invention, adaptive parameter adjustment of the ultraviolet light communication system under a complex condition is realized, and short-distance and anti-interference experiments, performance tests and engineering application of ultraviolet light communication are realized.

The invention discloses a millimeter wave communication transmission signal interference suppression method, and relates to the technical field of millimeter wave communication signal interference suppression, and the method comprises the steps: deploying a multi-antenna array and an ultra wide band detection module, collecting interference and useful signal features, and generating a data set; evaluating an interference level in combination with channel parameters, and establishing a mapping relation between interference and a channel; interference types are accurately classified through a deep learning model; differential suppression schemes are adopted for different interferences; dynamically adjusting suppression parameters; monitoring a suppression effect and feeding back optimization; and the adaptive capacity of complex scenes is improved based on historical data self-learning. According to the invention, accurate identification and differential suppression of interference are realized, and the anti-interference capability and the transmission stability are significantly improved; the interference and channel change are dynamically adapted, the self-learning ability enhances the adaptation to novel interference, and an efficient interference suppression solution is provided for millimeter wave communication.

The invention relates to a mixed channel industrial internet of things scheduling method based on information age and throughput, and belongs to the technical field of industrial wireless networks. According to the method, for a multi-node industrial Internet of Things system in which a fast unreliable channel and a slow reliable channel coexist, the overdue probability that the information age of the system exceeds a threshold value is minimized under the condition that the limited bandwidth constraint and the minimum throughput demand of all nodes are met. An original optimization problem is decoupled into a node link scheduling sub-problem and a scheduling node channel selection sub-problem, a channel parameter driven region division mechanism, random network distillation and deep reinforcement learning are adopted to cooperatively solve the two types of sub-problems, and a multi-node scheduling scheme formed by two sub-strategies is formed. According to the method, joint optimization of information age and throughput of multiple sensors under a mixed channel is considered, strict freshness of industrial wireless network data delivery is guaranteed, and differentiated throughput requirements of all nodes are ensured.

The invention relates to a time-varying channel modeling method oriented to a low-orbit satellite scene, and belongs to the technical field of low-orbit satellite communication. In order to solve the problem that low-orbit satellite channel modeling accurately represents time-varying characteristics, a propagation model is provided, and a channel is fitted into a process that a signal reaches a receiving end from a satellite terminal through multiple times of cluster bounce; a parameter drift mechanism is introduced to simulate the trend of channel parameters changing along with time, natural transition and connection between newly generated parameters and parameters in the previous stage are guaranteed, and the continuity of channel parameter change is improved; the dynamic process of generation, development and extinction of the cluster is considered from the perspective of the channel cluster through the birth and death process of the dynamic change of the cluster, and the dynamic change of the cluster in the channel is reflected more truly. On the basis of the method, the characterization capability of a channel simulation framework on the time-varying characteristic can be remarkably enhanced, and a more reliable and more accurate channel model is provided for a low-orbit satellite scene.

The invention relates to the field of power system operation and control, and discloses a virtual power plant cluster scheduling optical storage cooperative power supply system, which comprises an optical storage coupling physical unit, an edge data acquisition terminal and a cooperative scheduling server. The server is provided with a whole-network data synchronization module, a dual-channel parameter online identification module, an impedance thermal life nonlinear coupling module and an impedance adaptive cooperative scheduling module. The dual-channel parameter online identification module calculates a voltage sensitivity coefficient and equivalent heat conduction thermal resistance based on the synchronous data; the impedance thermal life nonlinear coupling module determines a forced reactive power support quantity according to the sensitivity coefficient, predicts a steady-state progressive temperature by using thermal resistance and quantifies the battery life loss cost; and the impedance adaptive collaborative scheduling module constructs a multi-objective optimization model in combination with the life cost and the capacity constraint, and generates an optimal power instruction. According to the invention, by establishing a cross-domain coupling mechanism of power grid impedance, equipment thermal characteristics and battery life, optimal control of voltage stability and equipment life in a weak power grid environment is realized.

The invention discloses a channel congestion prediction method and device, a model training method and device, equipment and a medium. The model training method comprises the following steps: constructing a first model and a second model; taking the training set as input to respectively obtain a first prediction set output by the first model and a second prediction set output by the second model; respectively constructing a first loss function and a second loss function based on the first prediction set, the second prediction set and the channel parameters of the to-be-predicted channel; and respectively training the first model and the second model by adopting the first loss function and the second loss function to obtain a convergent first model and a convergent second model. According to the method, the ship congestion degree is determined based on the prediction result of the first model and the prediction result of the second model, the prediction accuracy and stability can be effectively improved, and the method is fully suitable for channel congestion prediction in different scenes.

The invention discloses a channel scheduling method and a storage medium, and the method comprises the steps: building a network flow-discretization ship kinematics model based on channel parameters which comprise ship lock parameters and ship channel parameters; first real-time data of the ship arriving at the ship lock is obtained in real time, a queuing strategy is obtained, and the first real-time data comprises ship arrival time, departure port information and destination port information; generating a ship lock scheduling plan based on the network flow-discrete ship kinematics model and a queuing strategy; and if the ship leaves the ship lock, generating a ship lane scheduling plan based on the network flow-discretization ship kinematics model. According to the method, the channel topology is abstracted into the network flow model with capacity constraint, and discretization simulation is carried out on ship microcosmic motion in a superposition manner, so that multi-scale coupling of macroscopic scheduling and microcosmic behaviors can be realized, the channel congestion prediction error rate is reduced, and the scheduling efficiency is improved.

The application discloses a wireless communication channel parameter measurement method and system, comprising the following steps: obtaining a sending signal based on a PN sequence of a wireless transmitting end; obtaining an influence of a channel impulse response based on the sending signal; performing convolution on the sending signal and the influence of the channel impulse response to obtain a receiving signal; obtaining autocorrelation outputs of different channels based on the receiving signal and the PN sequence; and obtaining path loss of the channel based on the autocorrelation outputs of the different channels. Compared with the traditional channel measurement activity using a special channel measurement instrument or a VNA, the device cost is greatly reduced, the manpower and material resources cost of the measurement activity is low, and a large amount of channel data can be obtained according to different experimental schemes.

The invention discloses an off-network channel estimation method and device based on backtracking momentum gradient descent. The method comprises the following steps of: acquiring a frequency domain observation symbol after pilot frequency normalization by using a transmitting pilot frequency symbol and a receiving pilot frequency symbol through least square; iteratively estimating channel parameters based on an orthogonal matching pursuit algorithm until the number of iterations is equal to preset channel sparseness; the estimated channel time delay serves as prior information, channel parameters are iteratively optimized in an off-network mode on the basis of a backtracking momentum gradient descent algorithm, and in the off-network optimization process, an Armijo backtracking line search method is used for adaptively adjusting hyper-parameters of the backtracking momentum gradient descent algorithm. According to the method, the backtracking momentum gradient descent algorithm and the orthogonal matching pursuit channel estimation are combined, and the channel estimation precision is improved through a momentum item acceleration mechanism of the backtracking momentum gradient descent algorithm and a parameter updating mechanism imitating a damping Hamiltonian differential equation; and the convergence rate and the hyper-parameter robustness of the high-precision off-network channel estimation method are effectively improved.

The application discloses a kind of medium distance wireless transmission methods, comprising the following steps: S1: terminal equipment sends connection request frame by main control frequency band, contains equipment ID and signal strength RSSI value;S2: gateway receives request, and channel quality index is calculated based on RSSI value, and based on result dynamic distribution to auxiliary frequency band;S3: main control frequency band adopts FSK modulation transmission control instruction, and auxiliary frequency band adopts QPSK-OFDM modulation transmission data packet;S4: when data transmission, channel parameter is collected once every 10ms, if packet loss rate>5%, then auxiliary frequency band is switched to π / 4-DQPSK modulation transmission.The beneficial effects of the present application are: based on RSSI value calculation channel quality index, and based on result dynamic distribution to auxiliary frequency band or main control frequency band, cleverly adopt double-band collaborative transmission mechanism, through real-time monitoring channel quality dynamic switching modulation mode, improve the reliability of data packet transmission.

The invention discloses a channel estimation method of a time-varying channel in a time delay-Doppler domain pilot mode, which comprises the following steps of: superimposing a hybrid superimposed pilot and a data symbol in a time delay-Doppler domain, the pilot comprising a high-power center pilot and a low-power edge pilot; the signal is converted to a time domain through inverse symplectic Fourier transform and Hisenberg transform; a receiving end obtains a receiving signal through Wigner transform and Sextile Fourier transform; estimating integer time delay and Doppler taps by using a center pilot frequency, and constructing a sparse channel matrix; estimating fractional Doppler and channel gain through a sparse Bayesian learning algorithm; and detecting a data symbol based on a minimum root-mean-square error algorithm, and realizing accurate estimation of channel parameters through iterative interference elimination. According to the method, the peak-to-average power ratio and the algorithm complexity can be effectively reduced, and non-correlation channel components and cross interference are inhibited.

The invention discloses a non-ground network channel estimation method and system based on packet preselection sparse Bayesian. The method comprises the following steps: acquiring a received signal of an AFDM symbol at a receiving end; the method comprises the following steps: constructing a channel estimation problem into a sparse recovery model based on sparse characteristics and received signals of a satellite channel in a time delay-Doppler domain; constructing a sensing matrix based on the AFDM modulation parameters and a preset time delay-Doppler grid; based on the sparse recovery model and the sensing matrix, sparse Bayesian learning based on a grouping pre-selection mechanism is adopted to solve a sparse channel vector in the sparse recovery model; comprising the following steps: grouping sensing matrixes according to time delay dimensions, and performing two-stage screening based on received signals to obtain a simplified dictionary matrix; and based on the simplified dictionary matrix and the received signal, iteratively estimating a sparse channel vector by adopting an SBL-EM algorithm, and further mapping to obtain a channel parameter. According to the invention, on the premise that the estimation precision is almost not lost, the problem of too high calculation complexity is fundamentally solved.

The invention relates to a dynamic purification method for 5G user plane traffic. The method comprises the following steps: receiving mixed user plane traffic in a network, preprocessing the received traffic, analyzing the preprocessed traffic according to a message header feature and an extension structure of a user plane bearer protocol, and dynamically identifying and separating out 5G user plane data stream; performing application layer depth detection on the identified 5G user plane data stream, identifying a second type of service data stream established based on the session control signaling, and analyzing a dynamic transmission channel parameter of the second type of service data stream; generating a flow filtering strategy according to the analyzed dynamic transmission channel parameters; and executing a dynamic strategy to carry out linear speed filtering on the 5G user plane data stream. The 5G user plane data flow is identified by analyzing the protocol head feature and the extension structure in the user plane flow in real time, and deep detection is performed on the application layer, so that the 5G flow can be quickly screened in a high-speed network environment.

A method implemented by an access node includes including transmitting, by the access node to a user equipment (UE), a control information message comprising an association indicator indicating an association between a reference signal and a channel between the access node and the UE; and communicating, by the access node with the UE, the reference signal in accordance with at least one channel parameter associated with the channel between the access node and the UE.

The embodiment of the invention provides a signal capturing method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: receiving a mixed signal and a target signal type, and determining a current channel parameter; determining a corresponding target deterministic measurement matrix according to the current channel parameter and the target signal type, the target deterministic measurement matrix being constructed according to the target signal type and the current channel parameter; constructing a correlation matrix of the mixed signal, wherein the correlation matrix represents the matching degree of the mixed signal and any combination of the code phase and the frequency offset; and capturing a signal parameter corresponding to a target signal corresponding to the target signal type in the correlation matrix through the target determinacy measurement matrix. According to the scheme, the deterministic measurement matrix constructed based on the pseudo-random characteristic of chaotic mapping can meet the constraint equidistant condition, the deterministic measurement matrix is driven by the determined algorithm, and the algorithm behavior is determined by a small number of parameters, so that the storage cost is reduced in signal capture.

The present application relates to the technical field of biological detection, in particular to a biological detection method and system based on channel response regulation, comprising the following steps: based on a detection channel, analyzing sample signal intensity and background noise, judging the relationship between standard deviation and fluctuation interval, correcting threshold parameters and screening gain ratio, combining marker signals and environmental parameters for weighted normalization, performing interval judgment and risk classification, and obtaining risk level distribution data.In the present application, through accurate analysis of real-time fluctuation characteristics of detection signals, combined with signal intensity and noise dynamic characteristics, channel parameters are corrected step by step and multi-stage gain screening is performed, environmental acquisition elements and sample correlation factors are introduced for multi-dimensional weight distribution, and factors such as signal fluctuation, environmental change and sample source are comprehensively considered for full-process data fusion processing, which improves the adaptive distinguishing ability of abnormal signals and boundary states, and effectively enhances the automatic recognition level of biomarker signal differences in complex sample environments.

This invention relates to the field of wireless communication network optimization technology, specifically to an antenna layout and relay configuration optimization method based on a channel prediction surrogate model. The method includes: acquiring a digital twin environment model of the area to be optimized; constructing an original sample set by calculating channel parameters between candidate antennas and relay nodes through ray tracing; training and constructing a channel prediction surrogate model using improved sparse Gaussian process regression; and using location parameters as input and output channel quality indicators. A joint decision vector for antenna, relay location, and transmit power is defined, and an optimization objective function for total system capacity and deployment cost is defined. The surrogate model is embedded in Bayesian optimization as a fast evaluator, and the joint decision vector is iteratively sampled and evaluated. After convergence, the optimal layout configuration scheme is output. This method replaces real-time simulation with a dedicated surrogate model, achieving multi-parameter joint optimization and improving the efficiency of channel evaluation and optimization iteration.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive an indication of a configuration for multiple sets of prioritization parameters for a random access channel (RACH) procedure. A first set of prioritization parameters of the multiple sets of prioritization parameters may be associated with a higher priority network slice than the other sets of prioritization parameters (e.g., than the remaining sets of prioritization parameters). The UE may detect a trigger to perform a RACH procedure and select the first set of prioritization parameters for the RACH procedure based on the first set of prioritization parameters being associated with the higher priority network slice. The UE may perform the RACH procedure for the network slice according to the first set of prioritization parameters.

The application provides a channel parameter management method and device, electronic equipment and storage medium, belonging to the technical field of solid state disks, comprising: monitoring the bit error rate of a NAND flash memory; adjusting the step size of frequency scanning according to the bit error rate; writing first data to the NAND flash memory at a first frequency and reading the first data from the NAND flash memory at a second frequency; if the first data is written incorrectly, determining that the write data path of the NAND flash memory is faulty; adjusting the drive strength of the NAND flash memory, the terminal resistance of the NAND flash memory and the write delay clock of the controller of the solid state disk in sequence based on the bit error rate; writing second data to the NAND flash memory at the second frequency and reading the second data from the NAND flash memory at the first frequency; if the second data is read incorrectly, determining that the read data path of the NAND flash memory is faulty; adjusting the terminal resistance of the NAND flash memory, the reference voltage of the controller of the solid state disk and the sampling delay of the controller of the solid state disk in sequence based on the bit error rate. The read and write data path faults can be automatically distinguished and parameter collaborative management can be performed.

This invention provides a robust resource scheduling method, apparatus, and device for satellite communication systems, relating to the field of wireless communication technology. The method includes: acquiring real-time environmental data and the channel coefficients at the current moment; determining the channel parameters corresponding to the real-time environmental data using an environment-parameter correspondence table, the channel parameters including the channel time correlation coefficient and the innovation process variance; calculating the statistical characteristics of the channel coefficients at the time to be transmitted based on the channel coefficients and channel parameters at the current moment; constructing a probabilistic constraint relationship using a one-sided Chebyshev inequality based on the statistical characteristics and a preset confidence parameter, calculating the minimum channel carrying power gain at the time to be transmitted that satisfies the preset probability guarantee; and performing resource scheduling based on the minimum channel carrying power gain at the time to be transmitted using a robust proportional fair scheduling algorithm. This invention can improve resource scheduling efficiency.

Embodiments provide an apparatus for encoding a multi-channel signal having at least three channels. The apparatus comprises an iteration processor, a channel encoder and an output interface. The iteration processor is configured to calculate, in a first iteration step, inter-channel correlation values between each pair of the at least three channels, for selecting, in the first iteration step, a pair having a highest value or having a value above a threshold, and for processing the selected pair using a multi-channel processing operation to derive first multi-channel parameters for the selected pair and to derive first processed channels. Further, the iteration processor is configured to perform the calculating, the selecting and the processing in a second iteration step using at least one of the processed channels to derive second multi-channel parameters and second processed channels. The channel encoder is configured to encode channels resulting from an iteration processing performed by the iteration processor to obtain encoded channels. The output interface is configured to generate an encoded multi-channel signal having the encoded channels and the first and the second multi-channel parameters.

The invention discloses an efficient soft demodulation method and system suitable for pulse position modulation, and relates to the technical field of laser communication. Pulse position modulation signals and preset channel parameters are received, and time slot receiving signals are acquired based on the pulse position modulation signals, the preset channel parameters comprise the optical signal intensity and noise power of a Gaussian channel, the pulse optical signal electron number of a Poisson channel and the electron number of an ambient optical signal; inputting the time slot receiving signal and a preset channel parameter into a pre-established soft demodulation model based on a maximum posteriori and a maximum likelihood criterion, and outputting to obtain a log likelihood ratio LLR of a modulation bit; meanwhile, the index logarithm operation of the LLR is simplified by adopting a max-log method, and the calculation complexity is reduced; aI is adopted to optimize the scaling coefficient for the performance loss caused by soft demodulation calculation simplification to balance the performance loss and the implementation complexity, so that the transmission efficiency of PPM modulation is improved.

The invention discloses an adaptive tuning high-frequency carrier communication impedance matching and noise suppression system and method, and the system comprises a channel characteristic prediction module which is used for obtaining real-time channel parameters through broadband channel detection, and predicting the channel impedance and noise characteristics at a future moment based on a load event sequence; the prospective self-healing decision engine is connected with the channel characteristic prediction module and is used for performing communication quality degradation trend deduction and root cause analysis based on the predicted channel impedance and noise characteristics and generating a dynamic impedance matching network tuning instruction and a noise suppression filter parameter compensation instruction; the security policy implantation module is used for carrying out encryption and identity authentication on the generated self-healing instruction and issuing the self-healing instruction to a reconfigurable impedance matching network and a digital filter of the physical power line carrier communication module through a management channel; according to the system, the impedance change trend can be predicted in advance, an accurate tuning instruction is generated, optimal suppression bandwidth calculation is achieved, and timeliness of transient response is guaranteed.

A signal processing circuit includes a channel estimation device, a data processing circuit and a false path detection circuit. The channel estimation device estimates transmission paths of a received signal based on a preamble portion of the received signal to generate channel parameter information. The data processing circuit processes a data portion of the received signal according to the channel parameter information to generate a data demodulation result associated with each transmission path. The false path detection circuit determines a characteristic value based on the data demodulation result associated with each transmission path, determines whether corresponding transmission path is a false path according to the characteristic value and the channel parameter information, and updates the channel parameter information to generate updated channel parameter information in response to the corresponding transmission path being determined as a false path. The updated channel parameter information does not comprise information regarding the false path.