DocumentCode
2953370
Title
A high-efficient algorithm for DOA estimation
Author
Ruoyu Jiang
Author_Institution
Res. Inst. of Electron. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2013
fDate
17-19 Dec. 2013
Firstpage
126
Lastpage
130
Abstract
This paper presents a fourth-order cumulants based spectral estimation algorithm for direction-of-arrivals (DOA) estimation. The poor runtime performance of high-order cumulants-based algorithms restricts their application scenarios. If the number of antenna sensors is more than 8, such algorithms are rather computationally expensive. Aiming at this issue, a fast fourth-order cumulants-based spectral estimation algorithm (FFMUSIC) for DOA estimation is presented in this paper. Performance comparison of the proposed algorithm with the multiple signal classification (MUSIC) algorithm and the conventional fourth-order cumulants based MUSIC (CFMUSIC) is demonstrated via two simulations. Experimental results, presented herein, show that the proposed algorithm has comparable statistical performance to and substantially lower computation time than the CFMUSIC, over 78% computation time is saved.
Keywords
direction-of-arrival estimation; higher order statistics; signal classification; CFMUSIC algorithm; DOA estimation; FFMUSIC algorithm; MUSIC algorithm; antenna sensors; direction-of-arrivals estimation; fast fourth-order cumulants based spectral estimation algorithm; high-order cumulants-based algorithms; higher-order statistics; multiple signal classification algorithm; Classification algorithms; Direction-of-arrival estimation; Estimation; Multiple signal classification; Sensors; Signal to noise ratio; Direction-of-arrival estimation; Fourth-order cumulants; Kronecker product; MUSIC;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2013 10th International Computer Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-2445-5
Type
conf
DOI
10.1109/ICCWAMTIP.2013.6716614
Filename
6716614
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