Analysis of effect of source location on identifiability of underdetermined blind source separation
Yang Jing-shu · Journal of Circuits and Systems · 2013
This paper mainly studies the effect of source location on identifiability of underdetermined blind source separation.Based on the identifiability of linear system,the paper models the problem of underdetermined blind source separation using a linear array.Theoretical analysis shows that an underdetermined system cannot be identified when sources are located in some areas and the problem of underdetermined blind source separation cannot be resolved.The areas where an underdetermined system cannot be identified are reconfirmed after the cramer-rao bound for estimating the mixing matrix in noisy sparse component analysis is deduced.Simulations confirm the theoretical analysis.