• DocumentCode
    805309
  • Title

    On the equivalence of three reduced rank linear estimators with applications to DS-CDMA

  • Author

    Chen, Wanshi ; Mitra, Urbashi ; Schniter, Philip

  • Author_Institution
    Ericsson Wireless Commun., San Diego, CA, USA
  • Volume
    48
  • Issue
    9
  • fYear
    2002
  • fDate
    9/1/2002 12:00:00 AM
  • Firstpage
    2609
  • Lastpage
    2614
  • Abstract
    This correspondence shows the equivalence of three previously proposed reduced-rank detection schemes for direct-sequence code-division multiple-access (DS-CDMA) communication systems. The auxiliary vector filtering (AVF) algorithm is simplified through a key observation on the construction of the auxiliary vectors. After simplification, it is shown that the AVF algorithm is equivalent to the multistage Wiener filtering (MWF) algorithm of Honig and Goldstein (2002). Furthermore, these schemes can be shown to be equivalent to the multistage linear receiver scheme based on the Cayley-Hamilton (CH) theorem when the minimum mean-square error (MMSE) criterion is applied to the reduced dimensional space of the received signal.
  • Keywords
    Wiener filters; code division multiple access; estimation theory; least mean squares methods; receivers; reduced order systems; signal detection; spread spectrum communication; AVF algorithm; Cayley-Hamilton theorem; DS-CDMA; MMSE criterion; MWF algorithm; auxiliary vector filtering algorithm; direct-sequence code division multiple access; minimum mean-square error criterion; multistage Wiener filtering; multistage linear receiver; received signal; reduced dimensional space; reduced rank linear estimators; reduced-rank detection schemes; Computer science; Equations; Error correction codes; Fingerprint recognition; Information geometry; Linear code; Multiaccess communication; Protection; Reactive power; Testing;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2002.801472
  • Filename
    1027791