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细菌觅食算法是一种基于细菌觅食行为的智能优化算法。盲源分离是盲信号处理的重要方面。为了提高盲源分离的有效性,根据盲源分离和细菌觅食算法的基本原理,提出了一种基于细菌觅食行为的盲源分离算法。用MATLAB对提出的这一算法进行仿真,并将其分离结果与传统独立分量分析算法的分离结果相比较。实验结果表明这是一种分离效果优于传统独立分量分析算法的有效分离算法。证明了基于细菌觅食盲源分离算法的可行性和有效性。
Bacterial foraging algorithm is a kind of intelligent optimization algorithm based on bacterial foraging behavior. Blind source separation is an important aspect of blind signal processing. In order to improve the effectiveness of blind source separation, a blind source separation algorithm based on bacterial foraging behavior is proposed based on the principle of blind source separation and bacterial foraging algorithm. The algorithm proposed in this paper is simulated by MATLAB, and compared with the results of the traditional independent component analysis. Experimental results show that this method is an effective separation algorithm which is superior to the traditional independent component analysis. The feasibility and effectiveness of blind source separation based on bacterial foraging are proved.