• DocumentCode
    427726
  • Title

    Joint channel estimation and detection of partial ARQ in OFDM

  • Author

    Roberson, Jeremy ; Ding, Zhi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    7-10 Nov. 2004
  • Firstpage
    662
  • Abstract
    A new algorithm in the spirit of cross-layer design is presented. Partial Automatic Repeat Request (PARQ) is one of the oldest forms of cross-layer design. The idea behind PARQ is to only retransmit a partial sequence back to the receiver and hopefully by using intelligent signal processing and joint channel estimation and symbol detection, the receiver can fully recover the data despite only receiving a piece of the sequence. Joint symbol detection is investigated using a novel OFDM based system while joint channel estimation is performed using a modified subspace algorithm called punctured subspace algorithm or PSSM. It is shown that the joint estimation of two T-spaced channels can be uniquely identified without the coprime condition using only second order statistics (SOS). The algorithms for joint channel estimation and symbol detection are novel because both exploit the fact that the sequences are of unequal lengths. The complexity of both algorithms are manageable and the overall system performance is quite promising.
  • Keywords
    OFDM modulation; automatic repeat request; channel estimation; sequences; signal detection; statistical analysis; OFDM; PSSM; SOS; T-spaced channel; automatic repeat request; intelligent signal processing; joint channel estimation; modified subspace algorithm; partial ARQ detection; punctured subspace algorithm; second order statistic; symbol detection; Access protocols; Additive white noise; Automatic repeat request; Channel estimation; Cross layer design; Gaussian noise; OFDM; Quality of service; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
  • Print_ISBN
    0-7803-8622-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2004.1399217
  • Filename
    1399217