Abstract
A new method is proposed to solve the difficult problem of advanced radar emitter signal (RES) recognition. Different from traditional five-parameter method, the method is composed of feature extraction, feature selection using rough set theory and combinatorial classifier. Support vector clustering, support vector classification and Mahalanobis distance are integrated to design an efficient combinatorial classifier. 155 radar emitter signals with 8 intra-pulse modulations are used to make simulation experiments. It is proved to be a valid and practical method.
This work was supported by the National Natural Science Foundation of China (60572143), Science Research Foundation of SWJTU (2005A13) and National EW Lab Pre-research Foundation (NEWL51435QT220401).
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Zhang, G. (2006). Intra-pulse Modulation Recognition of Advanced Radar Emitter Signals Using Intelligent Recognition Method. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_103
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DOI: https://doi.org/10.1007/11795131_103
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