Application of Variable Learning Rate On-line ICA Algorithm in Radar Signal Classification
Cheng Wu · Modern Radar · 2010
Recently,FastICA is used mostly in radar signal classification.FastICA is an off-line batch processing ICA algorithm and lacks function of real-time processing.In this paper,a variable learning rate on-line ICA algorithm is used for radar signal classification,and this classification method can overcome the disadvantage that FastICA can't perform real-time classification.Meanwhile,this ICA algorithm can adjust the learning rate on basis of the degree of signal separation which is reflected by measure of signal dependence,and balance the contradiction between convergence rate and steady error of traditional on-line ICA algorithms.Therefore,the method of radar signal classification using this ICA algorithm has the advantages of fast convergence and better separation performance.Computer simulation results showed effectiveness of the proposed classification method.