In this paper, we propose analytical formulas that involve second order statistics for separating two signals. The method exploits source decorrelation and correlation functions diversity. In particular, the proposed SOBAS (Second Order Blind Analytical Separation) method differs from ASOBI (Analytical Second order blind identification) method in that it does not requires prior knowledge or estimation of the noise variance. Computer simulations demonstrate the efficiency of the proposed method.