Study on fractal features of modulation signals

Based on fractal theory, the note presents a novel method of modulation signals classification that adopts box dimension and information dimension extracted from received signals as features of classification. These features contain the characteristics of magnitude, frequency and phase of signals, a...

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Bibliographic Details
Published inScience China. Information sciences Vol. 44; no. 2; pp. 152 - 158
Main Authors Lü, Tiejun, Guo, Shuangbing, Xiao, Xianci
Format Journal Article
LanguageEnglish
Published Heidelberg Springer Nature B.V 01.04.2001
Department of Automatization, Tsinghua University,%Department of Electronic Engineering, University of Electronic Science and Technology of China
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Summary:Based on fractal theory, the note presents a novel method of modulation signals classification that adopts box dimension and information dimension extracted from received signals as features of classification. These features contain the characteristics of magnitude, frequency and phase of signals, and collect discriminatory information among various modulation modes. They are effective features in classification sense, and are insensitive to noises interfering. The theoretical analysis also proves the above conclusion. The classifier design is very simple based on such features. The simulation results show that the performances of signal classification are superior.
ISSN:1009-2757
1674-733X
1862-2836
1869-1919
DOI:10.1007/BF02713973