Abstract
Spherical microphone arrays have been used for source localization in three-dimensional space recently. In this paper, a two-stage algorithm is developed to localize mixed far-field and near-field acoustic sources in free-field environment. In the first stage, an array signal model is constructed in the spherical harmonics domain. The recurrent relation of spherical harmonics is independent of far-field and near-field mode strengths. Therefore, it is used to develop spherical estimating signal parameter via rotational invariance technique (ESPRIT)-like approach to estimate directions of arrival (DOAs) for both far-field and near-field sources. In the second stage, based on the estimated DOAs, simple one-dimensional MUSIC spectrum is exploited to distinguish far-field and near-field sources and estimate the ranges of near-field sources. The proposed algorithm can avoid multidimensional search and parameter pairing. Simulation results demonstrate the good performance for localizing far-field sources, or near-field ones, or mixed field sources.
Highlights
Acoustic source localization using microphone arrays has many applications, such as video conferences, intelligent systems, and robotics
Source localization in mixed near-field and far-field has been developed using Multiple signal classification (MUSIC) algorithm [5,6,7], estimating signal parameter via rotational invariance technique (ESPRIT)-like technique [8], or sparse signal reconstruction method [4] based on a linear array
Exploiting the recurrent relation between spherical harmonics, we extend the spherical ESPRIT method to simultaneously discriminate directions of multiple far-field and near-field sources
Summary
Acoustic source localization using microphone arrays has many applications, such as video conferences, intelligent systems, and robotics. Source localization in mixed near-field and far-field has been developed using MUSIC algorithm [5,6,7], ESPRIT-like technique [8], or sparse signal reconstruction method [4] based on a linear array. The aim of our work is to develop a new method that is able to localize mixed far-field and near-field sources simultaneously using spherical arrays in free-field environment It can avoid the parameter pairing problem and complex multidimensional search. Exploiting the recurrent relation between spherical harmonics, we extend the spherical ESPRIT method to simultaneously discriminate directions of multiple far-field and near-field sources This avoids two-dimensional parameter space search and the azimuth and elevation pairing.
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