Grouping Subarray for Robust Estimation of Direction of Arrival

Abstract

Multiple Signal Classification (MUSIC), Steered Response Power-PHAse Transform (SRP-PHAT) and Generalized Cross Correlation (GCC) are the well known techniques for Direction of Arrival (DoA) estimation, using microphone array. However, in real time scenarios, these techniques encounter limitations such as computational complexity and thresholding difficulties. In this paper, a novel and robust method is introduced in which DoA is estimated using the concept of subarray decomposition to provide better performance with effective thresholding and minimal computational complexity.