• DocumentCode
    2533764
  • Title

    Coefficient bias in constant modulus adaptive filters

  • Author

    Bellanger, Maurice

  • Author_Institution
    CNAM, Paris
  • fYear
    2006
  • fDate
    21-24 May 2006
  • Abstract
    The MMSE criterion introduces a bias of the coefficients in adaptive filtering. For constant modulus signals, an estimation of this bias is derived. Constant modulus (CM) criteria lead to different values of this bias. A simple approach is presented to derive estimations for the two criteria of practical interest, namely CM(1,2) and CM(2,2), and it is shown that the bias with CM(1,2) is smaller than the bias with MMSE, while the bias with CM(2,2) is larger. The case of non constant modulus signals is also considered. The results presented are likely to make the performance of CM algorithms better understood and they should contribute to stimulate their introduction in practical systems
  • Keywords
    adaptive filters; least mean squares methods; MMSE criterion; adaptive filters; coefficient bias; constant modulus criteria; minimum mean square error; Adaptive filters; Algorithm design and analysis; Cost function; Equations; Finite impulse response filter; Signal design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
  • Conference_Location
    Island of Kos
  • Print_ISBN
    0-7803-9389-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2006.1692776
  • Filename
    1692776