@inproceedings{b7691739d0da46c09202d0fdb3886d56,
title = "Three CS-based beamformers for single snapshot DOA estimation",
abstract = "In this work, the estimation of the Directions of Arrival (DOAs) of multiple source signals from a single observation vector is considered. In particular, the estimation, detection and super-resolution performance of three algorithms based on the theory of Compressed Sensing (the classical l1-minimization or LASSO, the fast smooth l0-minimization, and the SPICE algorithm) are analyzed and compared with the classical Fourier beamformer. This comparison is carried out using both simulated data and real sonar data.",
keywords = "Compressive Sensing, DOA estimation, Fourier Beamformer, Sonar, Super-resolution",
author = "Stefano Fortunati and Raffaele Grasso and Fulvio Gini and Greco, \{Maria S.\} and Kevin Lepage",
note = "Publisher Copyright: {\textcopyright} 2014 EURASIP.; 22nd European Signal Processing Conference, EUSIPCO 2014 ; Conference date: 01-09-2014 Through 05-09-2014",
year = "2014",
month = nov,
day = "10",
language = "English",
series = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",
pages = "1044--1048",
booktitle = "2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014",
}