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

Volume

6

fYear

2007

fDate

6/29/1905 12:00:00 AM

Firstpage

379

Lastpage

382

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);

fLanguage

English

Journal_Title

Antennas and Wireless Propagation Letters, IEEE

Publisher

ieee

ISSN

1536-1225

Type

jour

DOI

10.1109/LAWP.2007.903491

Filename

4295066