activity
20152025
most citedMulti Snapshot Sparse Bayesian Learning for DOA Estimation

335 citations · 556 across the 5 of their papers we have counts for

collaborators

5 papers

physics.geo-ph2025★ 20 cited

Distributed acoustic sensing for ocean applications

Angeliki Xenaki, Peter Gerstoft, Ethan Williams +1

Extensive monitoring of acoustic activities is important for many fields, including biology, security, oceanography, and Earth science. Distributed acoustic sensing (DAS) is an evo…

eess.SP2022★ 39 cited

An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures

Peter Vouras, Kumar Vijay Mishra, Alexandra Artusio-Glimpse +4

Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of…

math.ST2016★ 335 cited

Multi Snapshot Sparse Bayesian Learning for DOA Estimation

Peter Gerstoft, Christoph F. Mecklenbräuker, Angeliki Xenaki

The directions of arrival (DOA) of plane waves are estimated from multi-snapshot sensor array data using Sparse Bayesian Learning (SBL). The prior source amplitudes is assumed inde…

cs.IT2015★ 152 cited

Grid-free compressive beamforming

Angeliki Xenaki, Peter Gerstoft

The direction-of-arrival (DOA) estimation problem involves the localization of a few sources from a limited number of observations on an array of sensors, thus it can be formulated…

math.ST2015★ 10 cited

Multiple and single snapshot compressive beamforming

Peter Gerstoft, Angeliki Xenaki, Christoph F. Mecklenbräuker

For a sound field observed on a sensor array, compressive sensing (CS) reconstructs the direction-of-arrival (DOA) of multiple sources using a sparsity constraint. The DOA estimati…