Abstract: In order to address the speaker tracking problem in the strong noise cases, a tracking method of microphone array based on particle filter with correlative noises is proposed in this paper.This method is based on the Gaussian correlative noise background.The optimal proposal distribution function of particles is deduced under the condition of minimum variance significance and is applied to the speaker tracking problem.The proposal distribution function is updated with the observation information of the speech signal arrival time difference, and provides the optimal weights for noise correlative cases.The simulation experimental results show that the proposed method improves the precision of nonlinear filtering in noise related cases, and promotes the adaptability and antiinterference ability of the speaker tracking system effectively.