Research On Working Status Recognition And Behavior Prediction Of Multifunctional Radar

With the development of radar technology,multifunctional radars represented by phased array radars are widely used in the battlefield.In order to master the initiative in electronic warfare,it is necessary to accurately grasp the working information of the radar in time.The working status and working behavior of the radar can be abstracted to describe the working information of the radar efficiently and concisely.Therefore,the research on the working status and behavior of multifunctional radars has become an important part of radar countermeasures.In the thesis,a hierarchical model of radar working behavior is established by combining prior knowledge of the relationship between radar working status and working behavior and their own attributes.On this basis,research is carried out on the recognition of radar working status,the recognition and the prediction of working behavior.The main work and contributions of the thesis are as follows:Firstly,the thesis studies the recognition of the known working status and the unknown working status of the multifunctional radar.According to the pulse description word of the radar working status,a two-level recognition network is built to realize the accurate recognition of the radar type and the working status.Combining the classic signal processing method,the pulse description word of the working status is extracted,and the prior knowledge of the feature subspace of the working status is further obtained,and the recognition of the unknown radar is completed.Secondly,a hierarchical model is constructed to realize the recognition and prediction of radar behavior.The bottom layer of the hierarchical model is the impulse layer;the middle two layers are the working status layer and the working behavior layer,and the top layer is the radar task layer.Based on the effective analysis of the working status of the radar,the thesis completes the description of the working behavior of the radar.Combining the working behavior's own characteristics and the knowledge of the relationship between working behavior and working status,a hierarchical model mainly used to describe radar working behavior is established.By analyzing and abstracting the information of each layer,the recognition of radar behavior is realized.On the basis of the hierarchical model,combined with the relationship between radar working behavior and working status,a method for recognizing unknown working behavior of radar is proposed.The radar mission and the radar working behavior are mapped to the hidden Markov model to realize the prediction of the radar behavior.Thirdly,a demonstration system for radar recognition is built.The system integrates radar working status recognition algorithms,radar behavior recognition and prediction algorithms,and completes the visual display of the recognition results.The radar knowledge graph is constructed,and the radar sample database and radar knowledge database are built on this basis.Through the data interaction between the two types of databases and the system's recognition and prediction results,the self-growth of radar knowledge is realized,and the knowledge required for radar work analysis is enriched.