DOA estimation based on cross-correlation by two-step particle filtering

This paper proposes a two-step particle filtering method for achieving robust DOA estimation under noisy environments. The proposed method aims at fusing the advantages of traditional cross-correlation (CC) and generalized (whitened) cross-correlation (WCC) methods, which are a CC method taking power information into account and a WCC method having a sharp peak in a cross-correlation function. We regard rectified CC and WCC functions as likelihood. The two-step filtering is carried out on bi-dimensional, spectro-spatial state space. Experimental results under noisy and slightly reverberant environments show that the proposed method is superior to CC and WCC methods both in accuracy and stability.