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Study on fractal features of modulation signals

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Abstract

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.

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Authors and Affiliations

  1. Department of Automatization, Tsinghua University, 100084, Beijing, China

    Lü Tiejun

  2. Department of Electronic Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, China

    Guo Shuangbing & Xiao Xianci

Authors
  1. Lü Tiejun
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  2. Guo Shuangbing
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  3. Xiao Xianci
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Lü, T., Guo, S. & Xiao, X. Study on fractal features of modulation signals. Sci China Ser F 44, 152–158 (2001). https://doi.org/10.1007/BF02713973

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  • DOI: https://doi.org/10.1007/BF02713973

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