In deep water, multipath time delays or frequency-domain interference periods of the
acoustic intensity combined with multipath arrival angles are typically used for source …

Recent investigations indicate that Sparse Bayesian Learning (SBL) is lacking in
robustness. We derive a robust and sparse Direction of Arrival (DOA) estimation framework …

This paper presents gridless sparse processing for direction-of-arrival (DOA) estimation. The
method solves a gridless version of sparse covariance-based estimation using alternating …

Source localization with a geoacoustic model requires optimizing the model over a
parameter space of range and depth with the objective of matching a predicted sound field …

To minimize the major decline in direction of arrival (DOA) estimation performance for an
acoustic vector sensor array (AVSA) with the coexistence of axial deviation and non-uniform …

This paper presents a Bayesian estimation method for sequential direction finding. The
proposed method estimates the number of directions of arrivals (DOAs) and their DOAs …

In this paper, a method is proposed for estimating the direction of arrival (DOA) of multiple
broadband sound sources. This is achieved by solving a group-sparse optimization …

Directions of arrival (DOA) estimation or localization of sources is an important problem in
many applications for which numerous algorithms have been proposed. Most localization …

Compressive spherical beamforming (CSB) with spherical microphone arrays is a promising
approach for acoustic source identification due to its high spatial resolution and applicability …

A robust and sparse Direction of Arrival (DOA) estimator is derived for array data that follows
a Complex Elliptically Symmetric (CES) distribution with zero-mean and finite second-order …