Title :
Three CS-based beamformers for single snapshot DOA estimation
Author :
Fortunati, Stefano ; Grasso, Raffaele ; Gini, F. ; Greco, Maria S. ; Lepage, Kyle
Author_Institution :
Dipt. di Ing. dell´Inf., Univ. of Pisa, Pisa, Italy
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 :
Fourier transforms; array signal processing; compressed sensing; direction-of-arrival estimation; minimisation; sonar; Fourier beamformer; LASSO; SPICE algorithm; classical l1-minimization; compressed sensing; directions of arrival estimation; multiple source signals; real sonar data; simulated data; single observation vector; single snapshot DOA estimation; smooth l0-minimization; super-resolution performance; three CS-based beamformers; Arrays; Direction-of-arrival estimation; Estimation; SPICE; Signal resolution; Signal to noise ratio; Spatial resolution; Compressive Sensing; DOA estimation; Fourier Beamformer; Sonar; Super-resolution;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location :
Lisbon
