Abstract A state space model for chaotic signal blind separation is first suggested, and then combined the Rao-Blackwellisaion (RB) strategy and incorporated roughening noise method, a particle filtering based online blind separation algorithm is proposed. To further decrease the residual noise in the online recovered signals, a novel delay estimation method which can effectively reduce the cross influence of source signals compared to the traditional delay-weight method is proposed.