• DocumentCode
    2372022
  • Title

    Adaptive MIMO detection of OFDM signals in an underwater acoustic channel

  • Author

    Carrascosa, Patricia Ceballos ; Stojanovic, Milica

  • Author_Institution
    Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2008
  • fDate
    15-18 Sept. 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Frequency and time correlation of the underwater channel are exploited to obtain an adaptive channel estimation algorithm for MIMO spatial multiplexing with low complexity and low overhead. Non-uniform Doppler compensation is performed by extending the adaptive synchronization method to multiple transmitters. Algorithm performance is demonstrated on experimental data recorded in several shallow water channels over distances on the order of 1 km. Nearly error-free performance is observed for two and four transmitters with BCH(64,10) encoded QPSK signals. We report in detail on an experiment where an information rate of 23 kbps (4 transmitters times 0.75 sps/Hz/transmitter times 2 bits/symbol times 10/64 times 24 kHz) is achieved using 2048 carriers in a 24 kHz bandwidth.
  • Keywords
    Doppler effect; MIMO communication; OFDM modulation; adaptive estimation; channel coding; channel estimation; correlation methods; modulation coding; quadrature phase shift keying; signal detection; space division multiplexing; synchronisation; underwater acoustic communication; wireless channels; BCH; MIMO spatial multiplexing; OFDM signal detection; QPSK; adaptive channel estimation algorithm; adaptive synchronization method; encoding; error-free performance; frequency correlation; multiple transmitter; nonuniform Doppler compensation; shallow water channel; time correlation; underwater acoustic channel; Acoustic signal detection; Adaptive signal detection; Channel estimation; Frequency estimation; MIMO; OFDM; Signal detection; Transmitters; Underwater acoustics; Underwater tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2008
  • Conference_Location
    Quebec City, QC
  • Print_ISBN
    978-1-4244-2619-5
  • Electronic_ISBN
    978-1-4244-2620-1
  • Type

    conf

  • DOI
    10.1109/OCEANS.2008.5151953
  • Filename
    5151953