Stable sound source tracking based on two updating algorithms

Abstract

AbstractIn this paper, we present a stable sound source tracking method based on two updating algorithm. In the method, an eigenvector spanning the signal subspace is updated by using the Projection Approximation Subspace Tracking (PAST) algorithm without the eigen‐decomposition of a correlation matrix. Then, a constrained minimization problem is formulated taking into account the stability, and the solution is determined successively by applying the Interior Point Least Square (IPLS) algorithm. As a result, stable tracking can be achieved without the peak search of a MUltiple SIgnal Classification (MUSIC) spectrum, which often requires enormous computational costs because many complex multiplying operations are involved. Several experimental results in real room environments have demonstrated the high accuracy and the low computational costs of the proposed method. © Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.