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Individual communication transmitter identification based on multifractal analysis

  • Letters
  • Published:
Journal of Electronics (China)

Abstract

In this letter, the communication transmitter transient signals are analyzed based on the time-variant hierarchy exponents of multifractal analysis. The species of optimized sample set is selected as the template of transmitter identification, so that the individual communication transmitter identification can be realized. The turn-on signals of four transmitters are used in the simulation. The experimental results show that the multifractal character of transmitter transient signals is an effective character of individual transmitter identification.

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References

  1. Wang Lunwen, Zhong Zifa, Study on fingerprint characters of 2FSK signal, Telegraphic Technology, (2003)3, 45–48, (in Chinese).

  2. Ren Chunhui, Ren Tongju, Communication signal individual characteristic analysis, Electronic Association & Electronic Countermeasure Chapter, the Thirteenth Session Annual Conference, Guilin, Guangxi, October 2003, 523–525, (in Chinese).

  3. L. Sun, W. Kinsner, N. Serinken, Characterization and feature extraction of transient signals using multifractal measures, Canadian Conference on Electrical and Computer Engineering, Edmonton, Alta. Canada, May 9–12, 1999, Vol.2, 781–785.

    Google Scholar 

  4. Yakov Lantsman, A. John, Actuarial application of multifractal modeling Part II: Time series applications, The Casualty Actuarial Society (CAS) Winter Forum, 2001, 375–385.

  5. Jin Chen, W. Kinsner, Multifractal analysis of transients in power systems, Canadian Conference on Electrical and Computer Engineering, 2000, Vol.1, 307–311.

    Google Scholar 

  6. V. Cheung, K. Cannons, W. Kinsner, J. Pear, Signal classification through multifractal analysis and complex domain neural networks, Canadian Conference on Electrical and Computer Engineering, 2003, Vol.3, 2067–2070.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dept of Info. Eng., Univ. of Electron. Sci. and Tech. of China, 610054, Chengdu, China

    Ren Chunhui, Wei Ping, Lou Zhiyou & Xiao Xianci

  2. Haige Communication Industry Group, 510656, Guangzhou, China

    Lou Zhiyou

Authors
  1. Ren Chunhui
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  2. Wei Ping
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  3. Lou Zhiyou
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  4. Xiao Xianci
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Additional information

Communication author: Ren Chunhui, born in 1970, female, Master, instructor. Department of Information Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.

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Cite this article

Ren, C., Wei, P., Lou, Z. et al. Individual communication transmitter identification based on multifractal analysis. J. of Electron.(China) 22, 409–415 (2005). https://doi.org/10.1007/BF02687929

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  • DOI: https://doi.org/10.1007/BF02687929

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