• DocumentCode
    1441106
  • 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
  • Volume
    46
  • Issue
    11
  • fYear
    1998
  • fDate
    11/1/1998 12:00:00 AM
  • Firstpage
    3112
  • Lastpage
    3116
  • 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;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.726827
  • Filename
    726827