• DocumentCode
    782256
  • Title

    Channel Estimation and Equalization Techniques in Downsampled ARQ Systems

  • Author

    Roberson, Jeremy ; Dong, Xiaofei ; Ding, Zhi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Davis, CA
  • Volume
    55
  • Issue
    5
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    2251
  • Lastpage
    2262
  • Abstract
    In this paper, we study channel estimation and equalization for a class of bandwidth efficient automatic repeat request (ARQ) systems. In these systems, retransmissions achieve bandwidth efficiency through symbolwise downsampling. Unlike a standard ARQ scheme, in which an erroneous packet is fully repeated, more sophisticated hybrid ARQ systems retransmit a recoded data packet. However, many of these ARQ schemes do not consider the integration of ARQ protocols with receiver signal processing such as channel estimation and signal detection. In this paper, we present a joint multichannel estimation algorithm that exploits the structure of a symbolwise downsampled ARQ equipped network. We show that this new method can improve the identifiability conditions for channel estimation as well as the overall system performance
  • Keywords
    automatic repeat request; bandwidth allocation; channel estimation; equalisers; protocols; signal detection; signal sampling; ARQ protocols; automatic repeat request; bandwidth efficiency; downsampled ARQ systems; equalization techniques; multichannel estimation algorithm; receiver signal processing; recoded data packet; signal detection; symbolwise downsampling; Automatic repeat request; Bandwidth; Blind equalizers; Channel estimation; Cross layer design; Forward error correction; Protocols; Signal detection; Signal processing algorithms; System performance; Automatic repeat request (ARQ); blind channel estimation; cross-layer design; spectral efficiency; subspace methods;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2007.893203
  • Filename
    4156424