Title :
Direction of Arrival Estimation Based on Support Vector Regression: Experimental Validation and Comparison With MUSIC
Author :
Randazzo, A. ; Abou-Khousa, M.A. ; Pastorino, M. ; Zoughi, R.
Author_Institution :
Genova Univ., Genova
fDate :
6/29/1905 12:00:00 AM
Abstract :
In this letter, the problem of estimating the directions of arrival (DOAs) of coherent electromagnetic waves impinging upon a uniform linear array (ULA) is considered. In particular, an efficient DOA estimation approach based on the support vector regression is assessed using experimental measurements. Moreover, the obtained results are compared with those yielded by the multiple signal classification (MUSIC) algorithm.
Keywords :
array signal processing; direction-of-arrival estimation; electromagnetic waves; regression analysis; signal classification; support vector machines; DOA estimation; MUSIC; coherent electromagnetic waves; direction-of-arrival estimation; multiple signal classification algorithm; support vector regression; uniform linear array; Classification algorithms; Direction of arrival estimation; Electromagnetic scattering; Maximum likelihood estimation; Multiple signal classification; Neural networks; Radar antennas; Robustness; Signal mapping; Support vector machines; Directions of arrival (DOAs); support vector machines (SVMs)/regression; uniform linear array (ULA);
Journal_Title :
Antennas and Wireless Propagation Letters, IEEE
DOI :
10.1109/LAWP.2007.903491
