DocumentCode
3092026
Title
Root-MUSIC Algorithm with Real-Valued Eigendecomposition for Acoustic Vector Sensor Array
Author
Wang, Peng ; Zhang, Guo-Jun ; Xiong, Ji-Jun ; Xue, Chen-Yang ; Zhang, Wen-Dong
Author_Institution
Key Lab. of Instrum. Sci. & Dynamic Meas., North Univ. of China, Taiyuan, China
fYear
2010
fDate
17-19 Sept. 2010
Firstpage
652
Lastpage
656
Abstract
According to the Root-MUSIC algorithm for acoustic pressure sensor array, we put forward a new Root-MUSIC algorithm with real-valued eigendecomposition for acoustic vector sensor array,. By way of recomposing the covariance matrix of vector sensor array and selecting appropriate lead orientation vector via spatial spectrum of array signal, we successfully evaluate the Direction of Arriva (DOA). Theory analysis and simulation experiment of an uniform line array show the performance of the new Root-MUSIC algorithm with real-valued eigendecomposition for acoustic vector sensor is better than the traditional Root-MUSIC algorithm with real-valued eigendecomposition in low SNR and few snapshots, and the calculations of new algorithm is small than the traditional MUSIC algorithm.
Keywords
acoustic transducer arrays; direction-of-arrival estimation; eigenvalues and eigenfunctions; pressure sensors; sensor arrays; DOA; Root-MUSIC algorithm; acoustic pressure sensor array; acoustic vector sensor array; array signal; direction of arrival; real-valued eigende-composition; real-valued eigendecomposition; Acoustics; Arrays; Covariance matrix; Direction of arrival estimation; Estimation; Signal processing algorithms; Signal to noise ratio; Root-MUSIC algorithm; acoustic vector sensor array; direction of arrival; spatial spectrum;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-8043-2
Electronic_ISBN
978-0-7695-4180-8
Type
conf
DOI
10.1109/PCSPA.2010.163
Filename
5636072
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