DOA estimation of moving sound sources in the context of nonuniform spatial noise using acoustic vector sensor

摘要

In this paper, DOA estimation of moving sound source using an acoustic vector-sensor in the context of spatially nonuniform noise is discussed. We propose a novel method for DOA tracking. In this method, non-uniform noise covariance is first estimated using acoustic vector sensor measurement and then the weighted parameter of conventional maximum power (MP) method is fixed by noise pre-whitening technique. In this way the weighted parameter selection problem of MP is solved when the noise powers of monopole and dipole are unknown. Moreover, under the assumption of constant velocity model of source dynamics, the DOA estimation by the improved maximum energy method is treated as measuring information and the Kalman filter algorithm in polar coordinate system is introduced to improve the accuracy of DOA estimation of moving sources. Theoretical analysis and simulation results demonstrate that the mean square angle error of the proposed method is lower than the traditional Cramer–Rao lower bound which only employs static measurement information.