Acoustic Direction of Arrival Estimation Based on Spatial Circular Prediction

Acoustic source localization is one of the most important applied fields of microphone arrays. Microphone array source localization is to estimate location parameters of the acoustic source following from some microphone array configuration. An acoustic direction of arrival (DOA) estimation algorithm based on parameterized spatial circular prediction is deduced in this paper. Associated with eigen-decomposition of array signals, the spatial covariance matrix is modified to compute broadband spatial spectrum aimed at estimating the acoustic DOA. The spatial circular prediction spectrum is compared in this paper with several broadband spectra, such as multichannel cross correlation coefficient (MCCC) and steered response power (SRP). The simulation results demonstrate that the proposed algorithm is superior to the other several algorithms at low signal-to-noise ratio.