doi: 10.18178/ijfcc.2015.4.6.423
Interference Recognition Scheme Based on Blind Signal Separation in Satellite Communications
Wen Yuanyuan
1
,
- 1 National Key Laboratory of Space Microwave Technology, China Academy of Space Technology, Xi‟an 710100, China.
- 2 Department of Physics.
Abstract
In this paper, a novel interference recognitionscheme 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 areseparated by using the blind signal separation (BSS) algorithm.Then, the parameters extracted from high order cumulants ofinterference signals are used as the classification feature vectors.Finally, using support vector machines (SVM) as classifiers, thesingle-tone interference, multi-tone interference, gauss noiseinterference and pulse interference are efficiently recognised.Simulation results demonstrate that the proposed schemeprovides a very high recognition probability when SNR is notlower than 5dB.
Keywords
- Interference recognition
- anti-jamming;support vector machines
- blind signal separation
- high ordercumulants
How to 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. https://doi.org/ 10.18178/ijfcc.2015.4.6.423
Copyright & License
Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).