• DocumentCode
    1664053
  • Title

    Performance analysis and application of posteriori lattice-ladder algorithm based on Givens rotation

  • Author

    Li, Haisen ; Bin Yao, Bin ; Weng, Ningning ; Xu, Chao ; Chen, Baowei

  • Author_Institution
    Coll. of Underwater Acoust. Eng., Harbin Eng. Univ., Harbin
  • fYear
    2008
  • Firstpage
    2563
  • Lastpage
    2566
  • Abstract
    In this paper, a posteriori QR decomposition (QRD) least squares (LS) lattice-ladder algorithm without square root based on Givens rotation is derived from the posteriori LS lattice-ladder algorithm and the tracking performance is analyzed in nonstationary signal operation environment (SOE). The simulation results using system identification model show that the posteriori algorithm can track the time-varying coefficients with small coefficient deviation and have steady numerical characteristic. The application of the algorithm in Multi-beam bathymetry sonar for side lobe interference is given and the processing results of port and starboard beams prove that it can effectively eliminate the interference in underwater acoustic signal returns.
  • Keywords
    acoustic wave interference; least squares approximations; sonar signal processing; underwater sound; Givens rotation; QR decomposition least squares; multibeam bathymetry sonar; nonstationary signal operation; performance analysis; posteriori lattice-ladder algorithm; side lobe interference elimination; time-varying coefficients; underwater acoustic signal; Algorithm design and analysis; Brain modeling; Interference elimination; Least squares methods; Performance analysis; Signal analysis; Sonar; System identification; Time varying systems; Underwater tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697672
  • Filename
    4697672