Title :
Parallel computation of SVD for high resolution DOA estimation
Author :
Feng, Gang ; Liu, Zemin
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
fDate :
31 May-3 Jun 1998
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;
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
DOI :
10.1109/ISCAS.1998.694397
