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Radar Emitter Source signal's sorting and identification is an important problem for the electronic countermeasure processing. Grey associated analysis theory is a effective method for pattern sorting and recognition. But the traditional Grey associated analysis theory has a key problem, which is how to decide the feature associated weight. So, in the thesis, directing at the characteristics of imperfection and vagueness of Radar Emitter Source signal information acquired by electronic equipment in complex electromagnetic environment, based on the traditional Grey associated analysis theory, an improved Grey associated analysis theory is provided. First, the traditional Grey associated analysis theory is show in detail and describes the problem of feature associated weight's decision. Secondly, on the basis of Shannon information entropy theory, the weight of feature associated weight is computed in real time. Finally, a simulation experiment is designed to check the result. According to the simulation experiment, the new grey associated analysis theory has higher objective identification rate, better adaptability and stronger computation reliability.

Communication signal's sorting and recognition is an important problem for the electronic countermeasure procedure. Generally speaking, the essential problem of Communication signal's sorting and recognition is a pattern recognition problem. Through many years developing, Dempster-Shafer evidence theory has become a very important pattern recognition method which is widely used in signal sorting and recognition. But, there are still many key problem needed to be worked out, such as how to get the Basic Probability Assignment Function (which is usually called BPAF in short) of evidence, how to fuse the conflict evidence, how to get more effective evidence fusion structure. So, in these thesis, first, the computation of Basic Probability Assignment Function based on grey associated analysis algorithm is provided, secondly, a traditional conflict evidence fusion method is introduced and a double-deck fusion structure is built based on the research achievement. Finally, two simulation experiments are designed to prove the research result. The final result shows that the Dempster-Shafer evidence theory has a well prospect in communication signal's sorting and recognition.