• DocumentCode
    2224828
  • Title

    A Pre-Whiten Method for Active Sonar in Reverberation Background

  • Author

    Wang He ; Li Jie ; Huang Kewei ; Cheng Xinyi ; Niu Sanku

  • Author_Institution
    Sch. of Mechatronical Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    3733
  • Lastpage
    3736
  • Abstract
    Matched filter, the optimal receiver in white noise, is not always optimum in reverberation background. A pre-whiten filter to restrain the reverberation is proposed. On the premise of Gaussian color noise model of reverberation with local stationarity, a method using all-pole partition pre-whiten filters is proposed based on autoregressive(AR) model, which is adaptive. Priori knowledge of the noise and reverberation are not required. An algorithm called reverse partition pre-whiten is also brought forward versus the order partition pre-whiten algorithm. Simulation results are presented to show that the method is effective in enhancing the echo-to-reverberation ratio, and the performance of reverse partition pre-whiten algorithm is better than the order partition pre-whiten algorithm.
  • Keywords
    Gaussian noise; autoregressive processes; matched filters; receivers; reverberation; sonar; white noise; Gaussian color noise model; active sonar; autoregressive model; echo-to-reverberation ratio; matched filter; optimal receiver; pre-whiten filter; pre-whiten method; reverberation background; white noise; Adaptive filters; Colored noise; Equations; Helium; Information science; Matrix decomposition; Partitioning algorithms; Reverberation; Sonar detection; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.137
  • Filename
    5455207