MUSIC algorithm is a classic subspace method for spatial spectrum estimation. In this paper, a pretreatment model is presented to construct the reference signal. The configuration of the multi-stage Wiener filter that is fit for MUSIC algorithm is proposed. Due to avoiding eigenvalue decomposition of the sampling data autocorrelation, the new method has less computational complexity. Simulation results demonstrate the effectiveness of the new method.