DocumentCode :
631176
Title :
Evaluation of beamforming and direction finding for a phased array HF ocean current radar
Author :
Wei Wang ; Gill, Eric W.
Author_Institution :
Memorial Univ. of Newfoundland, St. John´s, NL, Canada
Volume :
1
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
417
Lastpage :
422
Abstract :
This paper presents a simulation-based study of the effects of beamforming (BF) and direction finding (DF) algorithms on the errors in ocean surface radial currents measurements by High Frequency Surface Wave Radar (HFSWR). They are adopted usually for phased arrays and compact arrays, respectively. In this study, both BF and DF are investigated for phased arrays. Particularly, using MUltiple Signal Classification (MUSIC) for direction finding in phased arrays is a subject which has received little attention. Through simulations of the first order sea clutter under various current scenarios, the mean RMS errors between radar-derived and simulated reference current profiles are examined extensively. A combination of using Barlett beamforming before and after Doppler processing is introduced to effectively increase the number of current estimates. The MUSIC algorithm has shown promising performance in target detection and current measurements when BF is used to first establish the maximum current velocity.
Keywords :
Doppler radar; array signal processing; electric current measurement; oceanographic equipment; phased array radar; radar detection; radar signal processing; signal classification; Barlett beamforming; DF algorithms; Doppler processing; HFSWR; MUSIC; beamforming evaluation; direction finding; high frequency surface wave radar; mean RMS errors; multiple signal classification; ocean surface radial current measurements; phased array HF ocean current radar; radar-derived current profiles; simulated reference current profiles; target detection; Arrays; Current measurement; Multiple signal classification; Radar; Sea surface; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium (IRS), 2013 14th International
Conference_Location :
Dresden
Print_ISBN :
978-1-4673-4821-8
Type :
conf
Filename :
6581123
Link To Document :
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