An Improved Algorithm Based on SVD for Blind Estimation of the Number of Sources
Wu We · Telecommunication Engineering · 2014
Estimating the number of sources is an important problem in blind sources separation. This paper mainly studies the problem of estimating the number of sources when the number of sensors is greater than the number of sources. The advantages and disadvantages of using singular value decomposition(SVD) to estimate the number of sources are analyzed firstly,and then an improved algorithm based on SVD is presented. In the algorithm,the singular values of the noisy mixtures are obtained by using SVD,and then the turning point between the signal components and the noise components is detected,which can distinguish the signal components and the noise components to get the number of sources. The simulation shows that the algorithm still has good performance in low signal-to-noise ratio(SNR) and fewer sampling points.