Open AccessStudy on fractal features of modulated radio signal
Author(s) -
Tang Zhi-Ling,
Xiaoniu Yang,
Jiandong Li
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.056401
Subject(s) - fractal , fractal dimension , modulation (music) , nonlinear system , pattern recognition (psychology) , feature (linguistics) , signal (programming language) , basis (linear algebra) , fractal analysis , fractal dimension on networks , artificial intelligence , computer science , feature extraction , algorithm , mathematical analysis , physics , mathematics , acoustics , geometry , quantum mechanics , linguistics , philosophy , programming language
The shape of radio signals determined by modulation system and that produced by the nonlinear transform are different in kind, which is the basis for discriminating them. Feature extraction based on fractal theory is a new method. In this paper,the features of modulation and nonlinear transform are projected to fractal feature space by computing the variance fractal dimension and the Mandelbrot singularity spectra dimensions. The numerical result show that differences in fractal features do exist between different modulated signals and the nonlinear transformed signals. The results show that the feature of these signals can be extracted based on fractal theory, which has engineering value for the identification of modulated radio signals.