Research On Key Technologies Of Modeling And Sensing Of Cognitive Interference

Military operations require equipment with cognitive and self-adaptive system that becomes one of the basement in electronic warfare in the future.To reach the goals of autonomous discovery,identification,tracking,targeting,and engagement at any time and place in a spectrum-intensive environment,it must rely oncognitive technology.The cognitive electronic warfare plays an important role in its.Cognitive electronic warfare combines cognitive science and electronic warfare techniques.The entire cognitive process includes perception and learning of real-time battlefield environments,selection of optimal interference behavior,and interference assessment.Among them,the selection of measures for optimizing interference is mainly realized by a cognitive jamming machine.Under the premise of understanding the battlefield environment,the cognitive jamming machine comprehensively evaluates the benefits of interference by changing its own interference parameters and simultaneously intercepting the interference effects brought about by changing the parameters.This involves the state transitions related to interference and the consideration of perceptions.The balance between the loss of time and the optimization of interference effects is a major challenge for jammers.When the communication party suffers from interference,it first judges whether or not it suffers from interference,and then specifically analyzes the type of interference in the case of determining the interference,which can lay the foundation for the subsequent formulation of anti-interference strategies.Energy detection is one of the commonly used means of detecting whether it is interfered with.However,due to the focus on concealment of signals and the diversity of cognitive interference in military communications,the use of energy detection alone cannot accurately determine whether or not to suffer interference,as well as the type of jamming machine,thereby affecting the communication party's judgment results,subsequent anti-interference strategies,etc.It will also be affected.This article through a large number of reading literature analysis,intends to use the algorithm in the multi-arm robber problem to try to solve the problem of balancing the optimal interference.Through the modeling of cognitive jamming machines,the common solution in the problem of multi-arm robbers is used as a basis,and then an improved algorithm is used to solve the related problems,and the optimization and feasibility of the improved algorithm are illustrated in the form of simulation.Considering the difficulties encountered by the communicating party in perceiving the cognitive jamming machine,the communication party's detection of the jammer is based on the frequency domain energy detection,and the interference is determined by associating with the communication layer's state parameter analysis and analysis algorithms for different types of interference.The specific types,and corresponding performance analysis for different types of interference analysis algorithms,and the use of simulation to prove the effectiveness of the algorithm.Since the energy detection has a certain randomness,in order to determine the correct detection of the interfering party's behavior by the communicating party,this paper finally models the jammer based on the Hidden Markov Model(HMM),and uses the HMM to estimate the model parameters.The Baum-Welch algorithm is used to calculate the probability of detecting the correct detection of the interference by the communication party,and also lays the foundation for the subsequent prediction of the jammer's jump status.