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—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.

Interference Recognition Scheme Based on Blind Signal Separation in Satellite Communications