@inproceedings{3f1be44d654f43ea9575bd20502993cc,
title = "Underdetermined 2D DOA estimation using Acoustic Vector Sensor",
abstract = "This paper presents an approach for the estimation of two-directional (2D) direction-of-arrival (DOA) of more sources than sensors using an Acoustic Vector Sensor (AVS). The approach is developed based on Khatri-Rao (KR) product by exploiting the subspace characteristics of the time variant covariance matrices of the uncorrelated quasi-stationary source signals. An AVS is used to measure both the acoustic pressure and pressure gradients in a complete sound field and the DOAs are determined in both horizontal and vertical planes. The identifiability of the presented approach is studied using computer simulations. It is demonstrated that the 2D DOAs of six speech sources are successfully determined using the new approach, which is significantly superior over the existing linear array approach.",
author = "Shengkui Zhao and Jones, {Douglas L.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014 ; Conference date: 09-06-2014 Through 11-06-2014",
year = "2014",
month = oct,
day = "20",
doi = "10.1109/ICIEA.2014.6931326",
language = "English (US)",
series = "Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1087--1090",
booktitle = "Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014",
address = "United States",
}