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Modulation Recognition of MFSK Signals Based on Multifractal Spectrum

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Abstract

In order to solve the problem that modulation recognition of MFSK signals in alpha-stable distribution noise, a novel algorithm using multifractal spectrum is proposed. Multifractal spectrum characteristics of signals and noise are discussed firstly. Then algorithm extracts the difference between maximum and minimum values of spectrum as classification feature. Finally, algorithm employs threshold decision method to achieve modulation recognition of 2FSK, 4FSK and 8FSK signals. Numerical results show that algorithm has good performance in both alpha-stable distribution noise and Gaussian noise, and it is less affected by characteristic exponent of noise and data points.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant No. 61077079; the Ph.D. Programs Foundation of Ministry of Education of China under Grant No. 20102304110013 and the Fundamental Research Funds for the Central Universities under Grant No. HEUCF1208.

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Correspondence to Chunhui Zhao.

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Zhao, C., Yang, W. Modulation Recognition of MFSK Signals Based on Multifractal Spectrum. Wireless Pers Commun 72, 1903–1914 (2013). https://doi.org/10.1007/s11277-013-1112-1

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