Title :
A correlation-based subspace tracking algorithm
Author :
Baker, E.S. ; DeGroat, Ronald D.
Author_Institution :
Sch. of Eng. & Comput. Sci., Texas Univ., Dallas, TX, USA
fDate :
11/1/1998 12:00:00 AM
Abstract :
Stewart (1992) proposed the URV algorithm as a less complex alternative to the SVD. By forming the cross product of the URV with its transpose, a correlation domain decomposition is produced that involves even less computation. This cross product RV (CRV) decomposition is the basis for a new subspace tracking technique
Keywords :
array signal processing; correlation methods; direction-of-arrival estimation; matrix decomposition; tracking; DOA; URV algorithm; URV transpose; correlation domain decomposition; correlation-based subspace tracking algorithm; cross product RV decomposition; matrix decomposition; Computational efficiency; Computational modeling; Eigenvalues and eigenfunctions; Floating-point arithmetic; Matrix decomposition; Notice of Violation; Sensor arrays; Signal processing; Signal processing algorithms; Singular value decomposition;
Journal_Title :
Signal Processing, IEEE Transactions on
