Abstract

The increment of communication technologies and the development of signal processing require efficient identification techniques for communication radiation. However, the complex characteristics of electromagnetic environment are not adequately handled by linear methods. Since the fractal theory is well suited for nonlinear problems, the relation of self-similarity (SS) between baseband and modulated signals is studied in this paper. Indeed, the existence of SS’s relation between the baseband and modulated signals is proved and verified under certain conditions. Finally, the analysis and extraction of individual signal fingerprint features in communication radiation source is constructed. Experimental results show that the proposed property SS is effective in the identification and classification of communication radiation sources.

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