• DocumentCode
    1546664
  • Title

    Sub-array RLS adaptive algorithm

  • Author

    Jun, Tang ; Xiqin, Wang ; Yingning, Peng

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    35
  • Issue
    13
  • fYear
    1999
  • fDate
    6/24/1999 12:00:00 AM
  • Firstpage
    1061
  • Lastpage
    1063
  • Abstract
    A new sub-array asynchronous recursive least square algorithm (SARLS) is proposed. The number of elements of the smallest sub-array can be less than the number of interferers. The computational load of SARLS can be reduced to o(N) while similar array performance to that of RLS is obtained. When the sub-array size is small, SARLS will converge faster than the conventional RLS.
  • Keywords
    least squares approximations; array performance; asynchronous recursive least square algorithm; computational load reduction; convergence; interferers; sub-array RLS adaptive algorithm;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19990737
  • Filename
    784527
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1546664