Blind Source Separation Based on Signal Number Estimation
Shimin Xu · Jisuanji fangzhen · 2006
The determination of the number of unknown source signals when there are fewer sources than the mixtures in blind source separation(BSS) has always been an unsolved problem.Based on the application of BSS in array signal processing,a method of estimation signals number was proposed.Due to fourth-order cumulants,the method can improve the estimation performance.The detailed solution to the problem of number estimation was explained,and Monter-Carlo trials demonstrated that the performance of this method was better than the usual algorithms.The validity of the method in BSS is proved through experiments.Thus the method can solve the problem of estimation of signal number in BSS,it paves the way to wider application of BSS methods.