DocumentCode :
714958
Title :
A novel DOA estimation method for closely spaced multiple sources with large power differences
Author :
Yang Gao ; Xin Jia ; Jia Xu ; Teng Long ; Xiang-Gen Xia
Author_Institution :
Acad. of Equip., Beijing, China
fYear :
2015
fDate :
10-15 May 2015
Firstpage :
1276
Lastpage :
1279
Abstract :
The direction of arrival (DOA) estimation is a key issue in array signal processing, and there are many well-known methods, e.g., Capon, MUSIC, Root-MUSIC and some other DOA estimation algorithms in the literature. Nevertheless, the effective DOA estimation for closely spaced multiple sources with large power differences is still a difficult problem due to the deteriorated resolution for the low power sources. In this paper, a novel DOA estimation method called Capon-MUSIC algorithm is proposed, which has a much higher resolution for closely spaced multiple sources with obvious power differences. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method.
Keywords :
array signal processing; direction-of-arrival estimation; numerical analysis; signal classification; signal resolution; Capon-MUSIC algorithm; DOA estimation method; array signal processing; closely spaced multiple source; direction of arrival estimation method; large power difference; low power source resolution; numerical experiment; root-MUSIC algorithm; Arrays; Direction-of-arrival estimation; Estimation; Multiple signal classification; Signal processing algorithms; Signal resolution; Signal to noise ratio; Capon algorithm; Capon-MUSIC algorithm; MUSIC algorithm; Root-MUSIC algorithm; closely spaced sources; direction of arrival (DOA);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
Type :
conf
DOI :
10.1109/RADAR.2015.7131191
Filename :
7131191
Link To Document :
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