Frontiers of Electrical and Electronic Engineering >

2010 , Vol. 5 >Issue 4: 488 - 492

DOI: https://doi.org/10.1007/s11460-010-0094-y

RESEARCH ARTICLE

Consistency of weighted feature set and polyspectral kernels in individual communication transmitter identification

  • Na SUN , 1,2 ,
  • Yajian ZHOU 1,2 ,
  • Yixian YANG 1,2
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  • 1. Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 2. Key Laboratory of Network and Information Attack and Defense Technology of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received date: 05 Mar 2010

Accepted date: 02 Apr 2010

Published date: 05 Dec 2010

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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Abstract

This paper presents a method using support vector machine with polyspectral kernels for classification of individual transmitters. Then, the neighborhood-rough-set-based weighted feature set is proposed. The experiments of the algorithms mentioned above indicate that they have consistency, which raises a new weighted kernel. The experiment shows that better classification rate can be achieved.

Key words： polyspectral kernel; support vector machine (SVM); neighborhood rough set; weighted feature set; weighted kernel

Cite this article

Na SUN , Yajian ZHOU , Yixian YANG . Consistency of weighted feature set and polyspectral kernels in individual communication transmitter identification[J]. Frontiers of Electrical and Electronic Engineering, 2010 , 5(4) : 488 -492 . DOI: 10.1007/s11460-010-0094-y

Acknowledgements

This work was supported by the National High Technology Research and Development Program of China (Grant No. 2009AA01Z430), the Natural Science Foundation of Beijing (No. 9092009), and the National Science and Technology Major Program (2009ZX03004-003-03).

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