• DocumentCode
    3361372
  • Title

    Fast m-sequence transform for quasi-backscatter sonar in fisheries and zooplankton survey applications

  • Author

    Xiang, Ning ; Chu, Dezhang

  • Author_Institution
    Dept. of Electr. Comput. & Syst. Eng. & Sch. of Archit., Rensselaer Polytech Inst., Troy, NY, USA
  • Volume
    3
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    2433
  • Abstract
    Existing acoustic systems commonly used in fisheries and zooplankton surveys are based on pulsed perturbation technique. This work applies binary maximum-length sequences (MLS) as periodic perturbation signals for sonar systems. Using MLS of pseudo-random nature, much higher signal-to-noise ratio (SNR), while keeping a similar spatial resolution as that using pulsed perturbation can be obtained. A fast algorithm, exploiting the fast Hadamard transform, is implemented for an efficient post-processing of target responses. After a brief introduction of MLS fundamentals and a fast m-sequence-based algorithm, this paper will discuss preliminary experimental results conducted in underwater environment using an experimental model.
  • Keywords
    Hadamard transforms; aquaculture; backscatter; m-sequences; oceanographic techniques; perturbation techniques; signal resolution; sonar signal processing; zoology; acoustic system; binary maximum-length sequence; fast Hadamard transform; fast m-sequence transform; periodic perturbation signal; pulsed perturbation technique; quasibackscatter sonar; signal-to-noise ratio; sonar system; underwater environment; zooplankton survey application; Acoustic pulses; Application software; Aquaculture; Frequency; Low pass filters; Multilevel systems; Oceans; Perturbation methods; Sonar applications; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1442272
  • Filename
    1442272