Abstract
On the basis of classification, rough set theory regards knowledge as partition over data using equivalence relation. Rough set theory is deeply studied in this paper and introduced into the problem of emitter recognition, based on which a new emitter signal recognition model is presented. At the same time, a new method of determining weight coefficients is proposed, which is independent of a prior knowledge. And a new classification rule is also presented in this paper. At last, application example is given, which demonstrates this new method is accurate and effective. Moreover, computer simulation of recognizing radar emitter purpose is selected, and compared with fuzzy pattern recognition and classical statistical recognition algorithm through simulation. Experiments results demonstrate the excellent performance of this new recognition method as compared to existing two pattern recognition techniques. A brand-new method is provided for researching on emitter recognition.
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© 2006 Springer-Verlag Berlin Heidelberg
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Xin, G., Xiao, Y., You, H. (2006). A Novel Emitter Signal Recognition Model Based on Rough Set. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences, vol 345. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37258-5_9
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DOI: https://doi.org/10.1007/978-3-540-37258-5_9
Publisher Name: Springer, Berlin, Heidelberg
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