The Research On Decision Technique O Adaptive Burst Communication System

The burst communication system(BCS)designs signals in the form of short-term bursts,enabling reliable data transmission in time-varying channels.With the increasingly complex electromagnetic environment and the increasing capabilities of jamming equipment and reconnaissance equipment,in order to improve the reliable transmission capability of the burst communication system in the jamming environment,this paper conducts decision-making techniques for adaptive burst communication(ABCS)the study.This paper mainly studies the intelligent decision-making technology of ABCS.The main contents include: design of decision-making engine for ABCS,policy-based decision-making algorithm and short-term effectiveness-based decision-making algorithm,and design of jamming environment for performance simulation analysis.The research in this article can be divided into the following sections:First,this paper studies the principle of the BCS,designs the ABCS signaling transmission mechanism,proposes a decision engine for the ABCS,and designs anti-jamming performance evaluation indicators and objective functions according to ABCS.Then,this paper studies the policy-based decision algorithm of the ABCS.According to the specific flow of the query and response process of the BCS,the policy-based decision algorithm of the interrogator and the responder are studied,and the algorithm flow is designed.The common jamming environment is designed to simulate the decision algorithm.The algorithm is simple and has a wide range of applications.It can improve transmission reliability and objective function performance of the system to a certain extent.Then,this paper studies the short-term effectiveness-based fast decision algorithm based on RBF neural network,studies the algorithm principle of RBF neural network,designs the input and output,and discriminates the criteria,and gives the implementation steps of fast decision.Simulations show that the algorithm has strong anti-jammin performance,certain fault tolerance and certain generalization ability.Compared with the policy-based decision algorithm,the short-term performance-based fast decision algorithm based on RBF neural network and The objective function performs better.Finally,this paper studies the overall performance of the decision engine of the adaptive BCS.Firstly,the strategy-based decision-making algorithm and the short-term effectiveness-based fast decision-making algorithm based on RBF neural network are used to design the decision engine process of the adaptive burst communication system,and then the common jamming is usually designed for this closed-loop intelligent decision-making system.Simulation analysis is performed.The simulation results show that the BCS using the ABCS decision technology designed in this paper has better anti-jamming performance and can obtain higher objective functions.The simulation results show that the decision-making technology of ABCS designed in this paper can make the BCS have better anti-jamming performance and can obtain a higher objective function.