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.
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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.
