Research On Adaptive Engine Technology Of Interfering Electromagnetic Signal

With the rapid development of contemporary information technology,various types of electromagnetic signals in space,and complex electromagnetic environment,the problem of electromagnetic signal interference is becoming more and more serious.The idea of adaptive engine is applied to the interference electromagnetic signal.Through the application of knowledge base and case base,the adaptive engine system is used to make automatic decision,dynamically adjust the interference parameters,and obtain efficient and reliable interference electromagnetic signal parameters in a short time,so as to greatly improve the interference ability of the system.Regarding this subject,this paper focuses on the design,algorithm implementation and optimization of adaptive engine in jamming electromagnetic signal.The knowledge base system,case base system and adaptive engine system are constructed respectively.In the adaptive engine system,firstly,the electromagnetic signal knowledge base on the basis of ontology needs to be constructed,protégé is used for visual display of the knowledge base,and neo4 j is used for knowledge storage,then the demand analysis,relational design and case data dictionary design of the case database are carried out.The source cases are retrieved in the case database.The retrieved cases are supplemented with parameters through the knowledge base.The supplemented cases are fitted with the source cases to obtain the best interference power.Finally,the system model of adaptive engine is constructed,implemented and the results are analyzed.In the knowledge base,a knowledge reasoning algorithm based on Bayesian network is proposed to build a rule base,which improves the efficiency of finding similar cases of electromagnetic signals in the knowledge base.In the process of case retrieval,because the traditional PSO algorithm has poor interference rate and is easy to fall into local optimization,a PSO case retrieval algorithm based on dynamic weight is proposed to improve the accuracy of case retrieval,In the adaptive engine system,an improved KNN algorithm and spatial free attenuation method are proposed to calculate the interference power.Through the actual interference electromagnetic signal experiment,it is verified that the adaptive engine system proposed in this paper has the ability to interfere with electromagnetic signals.The system combines KNN algorithm with PSO algorithm in the field of interfering electromagnetic signals for the first time,which has greatly improved the decision-making time and interference rate.The simulation shows that the PSO similarity retrieval algorithm with dynamic weight can adaptively adjust the interference power,improve the interference rate of the system and shorten the decision-making time.