Blind Signal Separation based on a Linear Approximation of the Objective
Yuqin Yao · Communications technology · 2009
In combination of objective function,and by applying it in the aliasing situation,a nonlinear aliasing signal blind separation algorithm is given.The dynamic objective function condition-space is constructed by the relations between chirp-contained composite signals.This function features multivariable,the process and the observation noise not limited to the Gaussian distribution,and is the effective method for solving this problem.Thus the aliasing signal blind separation is transformed into the parameter space linear aliasing signal blind separation.In objective function space,the signal separation may be carried on many times.This algorithm is high in convergence precision and good in stability.