The Application and Improvement of Dempster-Shafer Evidence Theory in Communication Signal Recognition
Communication signals sorting and recognition is an important problem for the electronic countermeasure procedure. Generally speaking, the essential problem of Communication signals 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 signals sorting and recognition.
Communication signals Sorting and recognition Dempster-Shafer Evidence Theory Grey Associated Analysis Theory Fusion Structure
Guo Gui-Hu Liu Xu-bo
The 91623th of PLA Bei Jing, China The 91623th of PL A Bei Jing, China
国际会议
2012 5th Global Symposium on Millimeter-Waves(2012年第五届全球毫米波会议 GSMM 2012)
哈尔滨
英文
486-489
2012-05-27（万方平台首次上网日期，不代表论文的发表时间）