• DocumentCode
    538926
  • Title

    Two New Weight Initialization Strategies of LMS Adaptive Linear Equalizer in Underwater Acoustic Communication

  • Author

    Wang, Jing ; Fang, Dong ; Huang, Haining ; Guan, Jing

  • Author_Institution
    Inf. Coll., Yunnan Univ., Kunming, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    303
  • Lastpage
    307
  • Abstract
    Underwater acoustic (UWA) communication is a cross subject of the communication technology and underwater acoustic signal processing technology, which is very valuable in military and civil applications. But the multipath effect of UWA channel leads to inter symbol interference (ISI) more than hundreds of code intervals, so it is necessary to apply an equalizer to eliminate the ISI in the receiving unit. This paper proposes two new weight initialization strategies for the least mean square (LMS) adaptive linear equalizer due to the bad performance with all zero initialization algorithm. Both the two new strategies improve the equalization performance of LMS adaptive linear equalizer and reduce the error code rate of the UWA communication system greatly.
  • Keywords
    acoustic signal processing; equalisers; error correction codes; least mean squares methods; underwater acoustic communication; UWA channel; error code rate reduction; inter symbol interference; least mean square adaptive linear equalizer; underwater acoustic signal processing technology; weight initialization strategy; zero initialization algorithm; Equalizers; Least squares approximation; Mean square error methods; Phase shift keying; Simulation; Underwater acoustics; Vectors; LMS adaptive linear equalizer; Underwater Acoustic (UWA) Communication; inter symbol interference (ISI); weight initialization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.172
  • Filename
    5709274