1853 results about "Bit error rate" patented technology

The invention provides a transmitting power control method and a TOC controller. The transmitting power control method comprises the following steps that S1, quality information of a channel is collected and obtained based on a system receiving end, the obtained quality information of the channel is evaluated, and the quality information of the channel comprises signal to noise ratio (SNR) data, received signal strength (RSSI), bit error rate (BER) data and link quality (CQI) data; the signal-to-noise ratio (SNR) data, the received signal strength (RSSI), the bit error rate (BER) data and the link quality (CQI) data can be obtained through real-time measurement or a prediction algorithm of historical data; and S2, monitoring the network load condition and user distribution in real time based on the system. According to the transmitting power control method and the TOC controller provided by the invention, the channel quality, the network load and the interference condition in a communication system are monitored in real time, and a self-adaptive adjustment mechanism is combined, so that the transmitting power can be accurately controlled, the communication quality can be effectively improved, the power consumption is reduced, and the TOC controller can stably work in a complex environment.

The invention discloses a self-adaptive packet data transmission system and method based on Beidou short messages, the system is composed of eight core modules such as a serial port communication module, a protocol conversion module and a configuration module, multi-link communication is established through an RS232 serial port and a Beidou director, and Baud rate self-adaptive adjustment and multi-serial port parallel processing are supported. The protocol conversion module adopts a finite-state machine to analyze a BDS-3 protocol, data fragmentation and recombination are achieved in combination with a sliding window algorithm, and the compression rate reaches 3: 1. The method comprises the following seven stages of flows: evaluating channel quality by detecting a message, and dynamically switching a BDS-3 anti-interference mode; implementing flow control by adopting a token bucket algorithm, and dividing three levels of QoS guarantee emergency instructions; and terminal health management is realized through a heartbeat detection and diagnosis instruction set. According to the method, instruction execution is delayed by 1.2 seconds in emergency communication, the bit error rate is controlled to be 0.0005%, the transmission efficiency is improved by 40% compared with a traditional scheme, and the method can be widely applied to the fields of Internet of Things, intelligent transportation and the like.

The invention discloses a high-temperature steam pipeline stress-strain state monitoring system based on characteristic safety parameters. The high-temperature steam pipeline stress-strain state monitoring system comprises a sensor acquisition module, a data processing module, a wireless communication module, an energy acquisition module, an edge calculation module, a fault self-diagnosis module and a server. The sensor acquisition module acquires first sensing information through a heterogeneous sensor combination distributed on the surface of a pipeline, and the data processing module extracts stress concentration coefficient, strain rate, temperature gradient and vibration frequency characteristic parameters. And the wireless communication module adopts a multi-hop network mode to transmit data to the edge calculation module for secondary processing to obtain pipeline operation information. The energy acquisition module acquires energy from the pipeline surface to supply power to the sensor. And the fault self-diagnosis module realizes abnormal device positioning isolation through cross validation and link bit error rate analysis. The server comprehensively receives various kinds of information to complete continuous monitoring of the pipeline state, and a complete self-powered intelligent monitoring system is formed.

The invention relates to the technical field of network service testing, in particular to a testing method and system based on optical fiber characteristics. The method comprises the following steps: acquiring multi-dimensional optical fiber characteristic data of an optical fiber link through optical fiber characteristic acquisition equipment; performing characteristic data hierarchical integration on the multi-dimensional optical fiber characteristic data to obtain an optical link characteristic vector group; performing temperature-error code wavelet transform association according to the optical link feature vector group to obtain a temperature-error code wavelet feature set; constructing an association prediction matrix according to the temperature-error code wavelet feature set; performing a service delay exception test according to the association prediction matrix to obtain a delay tail exception event set; and performing micro-bend three-dimensional feature recognition according to the delayed tail abnormal event set to obtain micro-bend mode features. According to the invention, the operation and maintenance efficiency, reliability and toughness of the optical fiber network of the data center are improved through full-link test analysis from optical fiber physical characteristics to storage service delay.

The invention relates to the technical field of communication, in particular to a dynamic priority dual-mode communication fault-tolerant switching method and equipment, and aims to solve the problems of communication interruption and service quality reduction when a main link is degraded in a complex electromagnetic environment. According to the method, a dynamic priority evaluation model and a dual-mode protocol cooperation mechanism are constructed, throughput, bit error rate, delay jitter, task semantic priority and aging constraint data of a main link and a standby link are collected in real time, a priority weight and a communication mode decision matrix are generated through combined modeling, an atomization switching instruction is executed according to the priority weight and the communication mode decision matrix, and a communication mode is switched. And completing path reconstruction and resource redistribution. The system further introduces link health prediction, a resource reservation pool and an online learning feedback loop, and supports fault pre-judgment, key task preemption and model adaptive optimization. According to the method, the limitation of a static threshold is broken through, the task semantics and channel state joint scheduling is realized, and the communication reliability, the service continuity and the intelligent fault-tolerant capability of a distributed system in a high-risk scene are remarkably improved.

The invention discloses an improved satellite navigation authorization signal real-time estimation device, which comprises a public signal tracking module used for tracking a public pseudo code of a satellite navigation signal in real time and outputting the public pseudo code of the satellite signal, a navigation message, baseband data after carrier stripping and a chip synchronization signal; the authorization signal purification module is used for estimating a pseudo code of the authorization signal in real time; and the public signal tracking module is connected with the authorization signal purification module. According to the method, the navigation message and the public pseudo code information of each code period are demodulated firstly, and then pseudo code estimation of M baseband constellations is improved into pseudo code estimation of M / 2 baseband constellations under the assistance of the navigation message and the public pseudo code, so that the bit error rate of authorized pseudo code estimation is reduced, and the accuracy of pseudo code estimation is improved. And the high gain requirement of the satellite navigation authorization signal estimation device on the receiving antenna is reduced.

The invention discloses a wiring harness dynamic load and electromagnetic interference coupling test method, and relates to the technical field of wiring harness testing, and the method comprises the steps: S1, defining a plurality of environment parameter groups, and constructing a test platform; s2, dynamic current pulse and multi-axis vibration excitation are synchronously loaded; s3, applying broadband electromagnetic interference signals and monitoring signal crosstalk amplitude and bit error rate changes; s4, the sensor nodes are dynamically configured according to the topological structure of the wire harness; s5, generating a feature vector; s6, outputting a wire harness performance index; s7, outputting a wire harness fault probability prediction value; s8, obtaining prediction data; s9, triggering a high-speed data recording mode, and storing original sensor data 60 seconds before the fault; and dynamically adjusting the gradient step length and the loading sequence in the environment parameter group. Performance evaluation, fault prediction and service life management can be carried out on the wire harness under complex working conditions, and the reliability and safety of an automobile electrical system are improved.

The invention relates to the technical field of network security, in particular to a cloud data secure transmission system and method based on a quantum encryption technology. Comprising a quantum key generation and management unit used for generating a physical layer security key, realizing key true random generation through a quantum state unclonable principle, and optimizing key negotiation efficiency by adopting an improved adaptive basis vector matching algorithm; a data transmission encryption unit; a physical layer safety monitoring unit; and a channel fusion switching unit. According to the method, the physical layer security key is generated based on the quantum state unclonable principle, the dependency limitation of a traditional encryption algorithm on mathematics is broken through, and the cracking risk of quantum computing on bottom layer encryption logic can be reduced; according to the invention, photon polarization state parameters are collected in real time through the physical layer security monitoring unit, the eavesdropping behavior is detected based on the preset error rate threshold, real-time perception of the eavesdropping behavior in a transmission link is realized, and the defect that the security state of the physical layer cannot be perceived in real time in a traditional scheme is overcome.

The invention provides an HPLC (High Performance Liquid Chromatography) and micropower wireless dual-mode communication frequency self-adaption method, which belongs to the technical field of dual-mode communication and comprises the following steps: firstly, establishing dual-mode communication by initializing parameters such as carrier frequency, sending power and modulation mode; secondly, electromagnetic interference signals in a power line channel are collected, and a linear superposition noise model containing a time domain weight is established to predict noise characteristics; meanwhile, a zero-crossing point time sequence of the power line signal is analyzed, and a zero-crossing point feature vector is constructed. And in combination with noise spectrum prediction and zero crossing point features, solving a convex optimization problem to obtain an optimal carrier frequency and other communication parameters. For micropower wireless communication, a channel quality evaluation matrix is constructed based on indexes such as signal strength, channel busy degree and bit error rate, an interference prediction model is established, and wireless communication parameters are optimized through quadratic programming. And finally, establishing a switching decision function according to a set communication quality threshold, and realizing self-adaptive switching of dual-mode communication so as to ensure the overall communication quality.

A near-optimal Karhunen-Loeve basis expansion modeling (KL-BEM) orthogonal time frequency space (OTFS) receiver with superimposed pilots has been proposed for high-mobility communications with Doppler spread channel. First, an initial KL-BEM channel estimation is conducted by superimposed pilots, followed by the removal of superimposed pilots from the received OTFS signal and equalisation by message passing (MP) algorithm. After that, the detected data symbols are utilized as pseudo pilots along with the superimposed pilots to refine both KL-BEM channel estimation and equalisation in an iterative manner. Simulation results confirm the superior performance of the proposed KL-BEM OTFS receiver over the prior art in terms of the mean-square-error (MSE) of channel estimation and bit error rate (BER). It also has a close BER performance to the BER lower bound obtained by assuming perfect channel estimation. It contributes to high spectral efficiency and fast convergence performance.

The invention discloses a high-frequency data remote transmission method and system, and the method comprises the steps: dynamically adjusting the collection frequency and mode according to environment conditions, and obtaining high-frequency data in real time; based on the data type and the transmission network state, a compression algorithm, a filtering mode and a coding strategy are automatically selected; the congestion condition of the transmission network is predicted through a built-in machine learning model, and a packaging strategy and transmission parameters are dynamically adjusted according to network conditions; in the data receiving process, the bit error rate in the transmission process is monitored in real time, abnormity in transmission is automatically detected, repair is carried out through an error correction algorithm, and if repair fails, the system automatically requests the data packet again; and the recovered high-frequency data is classified and stored according to the importance, real-time performance and storage cost of the data, and automatic storage strategy adjustment is realized in a remote database. According to the technical scheme, the high efficiency, reliability and safety of remote transmission of high-frequency data are improved.

The invention discloses a memristor-based signal detection circuit and method, a receiver and equipment, and relates to the field of wireless communication, a voltage source module of the circuit is connected with a voltage input end of a memristor array module, and a current source module is connected with a current input end of the memristor array module; the current output end of the memristor array module is connected with the reverse input end of the operational amplifier module and one end of the feedback resistor module, the other end of the feedback resistor module and the output end of the operational amplifier module are connected with the input end of the multiplier module, and the output end of the multiplier module is connected with one end of the resistor module. The voltage of the voltage source module is set according to the emission vector set; the current of the current source module is set according to the received radio frequency signal, and the conductance value of the memristor is set according to the channel matrix, so that a relatively low bit error rate of signal detection can be realized on the basis of greatly reducing calculation time and power consumption, and meanwhile, the requirement on programmable bit precision of the memristor is also reduced.

The invention relates to the technical field of communication, and discloses a multi-parameter automatic detection system and method for laser communication equipment, and the method comprises the following steps: data collection and forward scattering compensation, feature extraction and modeling, virtual debugging and enhanced simulation, parameter optimization and noise filtering, and result verification and feedback adjustment. Through deep fusion of multi-mode sensing, intelligent modeling and closed-loop optimization, leap-over upgrade of laser communication parameter detection is realized, under the core breakthrough of signal-to-noise ratio improvement, the bit error rate of the system is reduced to a small magnitude, the transmission distance is synchronously extended to 182km, and through collaborative innovation of a federated learning framework and a digital twinning technology, the communication efficiency is greatly improved. The training efficiency is improved, the extreme working condition verification passing rate is improved, and meanwhile the ultrahigh energy efficiency ratio and the low annual failure rate are achieved.

The invention relates to the technical field of data processing, in particular to an electric power carbon emission intelligent analysis system based on a dual-carbon target, which comprises a quantum security acquisition engine, a dynamic privacy calculation fusion device, a quantum and classical mixed twin modeling module, a multi-agent quantum decision engine and a cross-modal causal auditing platform. The dynamic privacy calculation fusion device aggregates the distributed carbon intensity feature vectors in a ciphertext state, and dynamically adjusts the Laplace noise amplitude based on a polarization key fragmentation strategy; the quantum decision engine optimizes and maps the unit commitment to an Isin model to output a Pareto solution set, and generates dynamic block chain contract terms; a cross-modal auditing platform monitors a carbon footprint boundary, and when a prediction deviation exceeds a threshold value, quantum branch parameters are calibrated through an anti-fact gradient and contract terms are reconstructed. According to the system, privacy security is maintained through frequency binding of quantum noise amplitude and channel bit error rate, prediction time lag caused by source-load coupling is solved through anti-fact gradient closed-loop calibration, and the low-carbon scheduling precision of the power system is improved.

The invention provides a network fault node automatic detection and roundabout path planning method, which comprises the following steps of: acquiring optical power and bit error rate of an optical fiber link, and recording abnormal time point and position information; obtaining a strong electromagnetic interference influence weight map; generating a deterioration trend curve; obtaining a health degree score of each optical fiber segment, and generating a health degree distribution map; probability distribution of fault nodes is determined, whether the nodes are fault points is judged according to the probability distribution, and a fault node position set is generated; obtaining a roundabout path planning scheme; and calculating a global network health state perception score to obtain an optimized global network health state diagram. The invention further discloses a corresponding storage medium. According to the invention, the reliability and stability of the optical fiber network can be effectively improved, and the efficiency and accuracy of fault detection and processing can be improved.

The invention provides an FPGA program loading and updating method and system, and relates to the technical field of FPGA configuration management. The FPGA program loading and updating method comprises the following steps: S1, based on an RS422 physical layer protocol, adopting a self-adaptive block verification algorithm, acquiring a signal-to-noise ratio parameter in real time through a channel quality monitoring module, dynamically adjusting the size of a data packet, and implementing a double-buffer alternate receiving mechanism; and verifying each data block by using cyclic redundancy check and serial number continuity detection, discarding abnormal data packets with bit error rates exceeding the limit, and generating a data block set passing verification. Through combination of an adaptive block check algorithm and channel quality dynamic monitoring, real-time optimization and adjustment of the size of a data packet in a transmission process are realized, transmission requirements in different channel environments are effectively adapted, the data retransmission probability is reduced, and through cooperative application of a double-buffer alternate receiving mechanism, cyclic redundancy check and a serial number tracking technology, the transmission efficiency is improved. And continuity and integrity of data receiving are ensured.

An anomaly detection processing method and device for solid-state drive (SSD) are provided. The anomaly detection processing method for SSD including collecting test data of an SSD, the test data including at least one of self-monitoring, analysis and reporting technology S.M.A.R.T. data, NAND flash cell threshold voltage distribution data, and bit error rate eye diagram data, determining whether the SSD has an anomaly based on the test data, and determining an anomaly cause of the SSD based on a subset of test data, the subset including specific test data based on which the SSD has been determined to have an anomaly may be provided.

The invention is suitable for the technical field of signal testing, and provides a high-speed serial signal testing method and system and semiconductor testing equipment, and the high-speed serial signal testing method comprises the steps: carrying out the time sequence adjustment of a testing signal through a phase-adjustable clock reference, actively introducing controllable jitter, and carrying out the jitter tolerance testing; a target test signal is sent to a receiving end through an emission driver, after a receiving signal is obtained, a target sampling time sequence is extracted based on clock recovery, a programmable receiving delay chain is controlled to carry out time scanning, and receiving data at multiple sampling moments are obtained; comparing each sampling data with the test signal, counting the bit error rate under each delay setting, and completing signal quality evaluation; the scheme has the advantages of modularization, high precision, low cost and the like, and the comprehensive test efficiency and reliability of the semiconductor test equipment on high-speed serial signals are improved.

A high-density ferroelectric memory, and a preparation method therefor and an application thereof, belonging to the field of semiconductor memories. In the memory, multiple memory cells are arranged in an array, and the two sides of the array of the memory cells are connected to substantially orthogonal word lines and bit lines, the memory cell of the present invention adopts a stacked structure of a top electrode, a resistive switching dielectric layer, an intermediate metal layer, a ferroelectric dielectric layer, and a bottom electrode, which is electrically equivalent to a ferroelectric capacitor and a resistive switching selector connected in series; the voltage division of the distributed ferroelectric capacitor in the unselected cells is reduced by regulating the RC delay of the memory cell, so that its disturbance is reduced; and the capacitance value of the ferroelectric capacitor is stable, and the influence of the disturbance voltage can be effectively reduced by RC regulation. The storage window of the memory is improved and the bit error rate is reduced, without increasing additional area overhead.

The invention discloses a satellite terminal adaptive power adjusting system. The system comprises an attitude sensor module used for collecting three-dimensional attitude data of a terminal; the antenna pattern database is used for storing theoretical gain values of the panel omnidirectional antenna in different attitudes; the gain prediction engine is used for calculating theoretical gain according to the current attitude data and the directional diagram database; the signal quality detection module is used for collecting the intensity, the signal-to-noise ratio and the bit error rate of the received signal in real time; the power control algorithm module fuses the gain prediction value and the signal quality feedback and is used for generating a dynamic transmitting power instruction; the radio frequency power amplifier is used for executing the power adjusting instruction and outputting an adjusted transmitting signal; the invention further discloses a satellite terminal self-adaptive power adjusting method. According to the invention, the problem of balance between satellite terminal communication stability and power consumption efficiency in a complex environment is solved.

A storage system has an inference engine that can infer a read threshold based on a plurality of parameters of the memory. The read threshold can be used in reading a wordline in the memory during a regular read operation or as part of an error handling process. Using this machine-learning-based approach to infer a read threshold can provide significant improvement in read threshold accuracy, which can reduce bit error rate and improve latency, throughput, power consumption, and quality of service. In another embodiment, a storage system is configured to use a binary full-depth symmetrically-sorted tree to infer a read threshold based on a plurality of parameters of the memory.

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 discloses a switch secure communication encryption method based on quantum key distribution. The method comprises the following steps: a service party submits a'security-delay-bandwidth 'intention to a zero-trust brain through a quantum policy intention description language; evaluating the real-time quality, key margin and topology accessibility of an optical fiber quantum channel, a classical ultra-high-speed channel and a radio frequency space channel according to intention requirements; triggering a QKD transmitting end and a receiving end to perform quantum state transmission of polarization and OAM coding along the optimal quantum path, completing basis vector comparison, error code verification and privacy amplification, generating a root quantum key, and injecting the root quantum key into an on-chip quantum memory; when a data packet arrives at a switch port, the assembly line takes out Kroot from the first-level key pool, and derives a one-time session key through the HMAC-SHA3; continuously monitoring a quantum channel bit error rate, a key pool margin and an AI abnormal score; and the transmitting and receiving parties synchronously confirm and destroy the session key, write all key life cycle events into a quantum invariant account book, and realize second-level auditing evidence obtaining through block chain hash anchoring.

The invention discloses a method and a system for recovering time domain nonlinear distortion of an OFDM (Orthogonal Frequency Division Multiplexing) signal of satellite communication, which mainly solve the problem that the nonlinear distortion of the OFDM signal of the satellite communication is difficult to recover in the prior art. According to the scheme, the method comprises the following steps: acquiring a data set of satellite communication OFDM signal time domain nonlinear distortion recovery; constructing a deep learning network model composed of an optimized multi-layer one-dimensional convolutional neural network and a bidirectional long-short-term memory network module; inputting the acquired data set into a deep learning network model for training, verification and testing so as to recover a time domain distortion signal; and carrying out channel equalization and demodulation on the recovered time domain signal, completing demodulation from a modulation symbol to bit information, and realizing effective recovery and transmission of data. The method has good mean square error and bit error rate performance, the complexity of a network model can be reduced, signal distortion caused by nonlinear distortion can be effectively recovered, the precision and efficiency of signal recovery can be improved, and the method can be used for recovering nonlinear distortion signals in a satellite communication system.

The invention provides a visual underwater sensor network simulation method, and relates to the technical field of underwater sensor networks, and the method comprises the steps: configuring network simulation parameters which comprise topological structure parameters, channel parameters and simulation parameters; inputting the channel parameters into an underwater acoustic calculation tool to generate an underwater acoustic multipath channel for simulation; the bit error rate BER of the multi-carrier MFSK underwater acoustic communication algorithm under the underwater acoustic multipath channel condition is calculated, and the bit error rate BER is input into the OTcl script; performing network simulation on the configured OTcl script by using an underwater network simulator; and displaying a network simulation result through a visual interface. The underwater sensor network simulation result can be displayed through the visual interface, the defect that current NS2-based underwater sensor network simulation software does not have a visual interface is overcome, a good man-machine interaction interface can be provided for a user, the development efficiency is improved, and the user is helped to better evaluate the performance of the underwater sensor network.

The invention discloses satellite communication transmission equipment, which relates to the field of communication transmission, and comprises a transmission control module used for providing access authority of a signal receiving end and a signal transmitting end and carrying out editing operation of operation instructions of all functional modules; the signal monitoring module is used for monitoring the signal-to-noise ratio, the bit error rate and the received signal strength of signal receiving according to a preset period, calculating a signal quality index in real time, and performing trend analysis and display on the signal quality index; the feedback generation module is used for aggregating the calculation signal quality indexes from the signal monitoring module and generating comprehensive feedback information; the method can quickly respond to the change of signal quality, compares the real-time signal quality with a preset standard threshold, generates a control signal, intelligently adjusts the transmitting power according to the environmental change, generates a missing report according to historical and current data, timely identifies and records a missing data packet, and uses a prediction model to predict the missing data based on the historical data and the real-time signal state. And intelligently analyzing a potential data missing trend, and generating a recovery scheme.

The invention provides a quantum key generation method and device, equipment and a medium, and relates to the technical field of quantum communication. The method comprises the following steps: negotiating with a first communication party through a classical channel, and determining a coding strategy; receiving a photon sequence sent by the first communication party, randomly selecting a base vector to measure photons of the order recorded in the coding strategy to obtain a first measurement result, and storing the photons which are not measured; after the first communication party publishes the measurement base vector of the photon sequence and the bit string corresponding to the photon of the order recorded in the coding strategy, the bit error rate is calculated based on the bit string and the first measurement result; under the condition that the bit error rate is smaller than or equal to a preset threshold value, measuring unmeasured photons through a base vector published by the first communication party to obtain a second measurement result; a quantum key is generated based on the second measurement. According to the embodiment of the invention, the number of keys generated in unit time can be increased, and the code rate of the quantum key is improved.

The embodiment of the invention provides a method for determining optical transmission performance, the method is applied to a first device, and the method comprises the following steps: receiving an optical signal sent by a second device through an optical module, and performing photoelectric conversion on the optical signal to obtain a first electric signal; adding first noise to the first electric signal to obtain a second electric signal. And performing FEC decoding on the second electric signal to determine a first bit error rate of the second electric signal. And determining an optical transmission performance parameter in combination with a quantitative relationship between the first bit error rate and the target bit error rate. The target bit error rate is a large bit error rate, and if the first bit error rate is equal to the target bit error rate, the bit error rate of the second electric signal is degraded to the target bit error rate after the first noise is added to the first electric signal, so that the first device can determine an optical transmission performance parameter for measuring the optical transmission performance according to the first noise. Therefore, by using the scheme of the embodiment of the invention, the optical transmission performance can be determined.

The invention discloses a joint detection method for a satellite-ground downlink NOMA (Non-Orthogonal Multiple Access) system, which is characterized by comprising the following steps of: S1, inserting pilot frequencies in a time-frequency grid through pilot frequency signals which are sparsely and uniformly arranged in a sub-channel of a transmitting end; s2, extracting a pilot signal at a receiving end, and performing channel estimation based on a deep residual convolutional network; s3, performing multi-user signal detection based on an iterative retraining method of a deep neural network; s4, optimizing power distribution within a power distribution factor threshold range based on a sparrow search algorithm, and minimizing a system bit error rate; s5, combining the step S2, the step S3 and the step S4 to form a joint detection model based on deep learning; through combination of deep learning and a sparrow search algorithm, the problems of channel estimation precision, signal detection capability, power distribution optimization and the like in the system are solved, the overall performance and reliability of the system are improved, and the method is suitable for large-scale user access and efficient data transmission requirements in a modern satellite communication system.

The invention provides an inter-satellite link communication simulation method and system based on a satellite constellation and a program product, and the method comprises the following steps: calculating the position and speed data of at least two satellites in a preset time sequence based on a satellite orbit parameter and acting force model; calculating attitude data of the at least two satellites in a preset time sequence based on the satellite attitude parameters and an attitude dynamics model; on the basis of the position, speed and attitude data and preset link parameters, inter-satellite link key parameters between the at least two satellites are calculated, and the key parameters comprise link delay, bandwidth, signal strength and bit error rate; and carrying out three-dimensional visual display on the position, speed, attitude data and inter-satellite link key parameters. The problems that in the prior art, a simulation system cannot comprehensively reflect the actual communication condition, and it is difficult to accurately simulate the electromagnetic wave propagation particularity in the space environment are solved, the performance of the communication link can be predicted more accurately, and the reliability of inter-satellite communication link simulation is enhanced.