Parallel computation of SVD for high resolution DOA estimation

Author

Feng, Gang ; Liu, Zemin

Author_Institution

Beijing Univ. of Posts & Telecommun., China

Volume

5

fYear

1998

fDate

31 May-3 Jun 1998

Firstpage

25

Abstract

In the study of array signal processing, the extensively researched MUSIC (Multiple Signal Characterization) algorithm can be realized based on SVD (Singular Value Decomposition) and many advantages are expected to be achieved. In the application of SVD, how to compute SVD on a parallel array becomes a key issue. In this paper, we discussed several SVD algorithms and their implementation on array processors. Detailed analyses demonstrate some modifications of Hestenes SVD method and Franklin SVD algorithm can make them more suitable for array processing since the array architecture may be substantially simplified

Keywords

Jacobian matrices; direction-of-arrival estimation; parallel algorithms; singular value decomposition; SVD algorithms; array signal processing; high resolution DOA estimation; parallel computation; singular value decomposition; Algorithm design and analysis; Array signal processing; Computer architecture; Concurrent computing; Direction of arrival estimation; Multiple signal classification; Signal processing; Signal processing algorithms; Signal resolution; Singular value decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on

Conference_Location

Monterey, CA

Print_ISBN

0-7803-4455-3

Type

conf

DOI

10.1109/ISCAS.1998.694397

Filename

694397