Title
Accelerating Parallel Jacobi Method for Matrix Eigenvalue Computation in DOA Estimation Algorithm
Abstract
The calculation of eigenvalues of a matrix is required by many algorithms. Specifically, it is the key technique in subspace-based direction of arrival (DOA) estimation algorithms, e.g., multiple signal classification (MUSIC). The calculation of the eigenvalues therefore directly affects the real-time implementation of DOA estimation approaches. However, the classical Jacobi methods are time-consu...
Year
DOI
Venue
2020
10.1109/TVT.2020.2984705
IEEE Transactions on Vehicular Technology
Keywords
DocType
Volume
Jacobian matrices,Eigenvalues and eigenfunctions,Direction-of-arrival estimation,Estimation,Hardware,Acceleration,Multiple signal classification
Journal
69
Issue
ISSN
Citations 
6
0018-9545
2
PageRank 
References 
Authors
0.38
0
3
Name
Order
Citations
PageRank
Zhiguo Shi124626.13
Qianwen He220.38
Ying Liu320.38