Single snapshot DOA estimation using compressed sensing

Single snapshot DOA estimation using compressed sensing
复制标题

DOI：
10.1109/icassp.2014.6854009
复制
发表时间：
2014-05
期刊：
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
影响因子：
--
通讯作者：
S. Fortunati;R. Grasso;F. Gini;M. Greco
S. Fortunati;R. Grasso;F. Gini;M. Greco
中科院分区：
其他
文献类型：
--
作者：
S. Fortunati;R. Grasso;F. Gini;M. Greco

文献摘要

被引文献

相似文献

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.