@inproceedings{8a1555505f0e49fda10086815075ee91,
title = "Single snapshot DOA estimation using compressed sensing",
abstract = "This paper deals with the problem of estimating the Directions of Arrival (DOA) of multiple source signals from a single observation of an array data. In particular, an estimation algorithm based on the emerging theory of Compressed Sensing (CS) is analyzed and its statistical properties are investigated. We show that, unlike the classical Fourier beamformer, a CS-based beamformer (CSB) has some desirable properties typical of the adaptive algorithms (e.g. Capon and MUSIC). Particular attention will be devoted to the super-resolution property. Theoretical arguments and simulation analysis are provided in order to prove that the CSB can achieve a resolution below the classical Rayleigh limit.",
keywords = "Compressive Sensing, DOA estimation, Fourier Beamformer, super-resolution",
author = "Stefano Fortunati and Raffaele Grasso and Fulvio Gini and Greco, \{Maria Sabrina\}",
year = "2014",
month = jan,
day = "1",
doi = "10.1109/ICASSP.2014.6854009",
language = "English",
isbn = "9781479928927",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2297--2301",
booktitle = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014",
note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",
}