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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2015 Vol.4(6): 395-398 ISSN: 2010-3751
doi: 10.18178/ijfcc.2015.4.6.423

Interference Recognition Scheme Based on Blind Signal Separation in Satellite Communications

Wen Yuanyuan and Chen Hao
Abstract—In this paper, a novel interference recognition scheme based on blind signal separation (denoted by IRS-BSS) is studied under the satellite communication scenario. Firstly, the mixed interference signals received by the sensors are separated by using the blind signal separation (BSS) algorithm. Then, the parameters extracted from high order cumulants of interference signals are used as the classification feature vectors. Finally, using support vector machines (SVM) as classifiers, the single-tone interference, multi-tone interference, gauss noise interference and pulse interference are efficiently recognised. Simulation results demonstrate that the proposed scheme provides a very high recognition probability when SNR is not lower than 5dB.

Index Terms—Interference recognition, anti-jamming; support vector machines, blind signal separation, high order cumulants.

Wen Yuanyuan is with the National Key Laboratory of Space Microwave Technology, China Academy of Space Technology, Xi‟an 710100, China (e-mail: wyy031980@163.com).
Chen Hao was with the National Key Laboratory of Space Microwave Technology, China Academy of Space Technology, Xi‟an 710100, China. He is now with the Department of Physics.

[PDF]

Cite: Wen Yuanyuan and Chen Hao, "Interference Recognition Scheme Based on Blind Signal Separation in Satellite Communications," International Journal of Future Computer and Communication vol. 4, no. 6, pp. 395-398, 2015.

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