A novel interference suppression method in spread spectrum communication based on blind source separation

摘要

As a mainstream means of satellite communication anti-jamming, spread spectrum communication (SSC) is faced with a immense technical bottleneck, which is the insufficient of interference immunity, to break through in recent years. A novel Blind Source Separation (BSS) method is proposed to solve the problem in this paper. Considering the statistical independence of SSC signal and common jamming, the BSS is applied into the receiver end of the SSC anti-interference system and a parallel FastICA algorithm based on negentropy maximization is utlized to guide the separating matrix iterations to dynamically optimize the objective function, which is constructed according to the statistical independence principle of the separated signals, so that they can approximate the source signals to the maximum extent. The simulation results indicate that the proposed method can separate the SSC signal from the several mixed signals efficiently, improve the anti-jamming capability of SSC system greatly and get good BER performance, even when the power of the jamming is very strong. What's more, the processing delay is very short, which can basically meet the demand of real-time spread spectrum communication.