• DocumentCode
    2069954
  • Title

    Sparse sample matrix inversion with diagonal loading for reverberation suppression

  • Author

    Wei, Gao ; Jianguo, Huang ; Tian, Ma ; Qunfei, Zhang

  • Author_Institution
    Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    14-16 Sept. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The main problem of active sonar detection is that the reverberation has spatial and temporal two-dimensional coupling characteristic which is similar to clutters in airborne radar. This paper presents a sparse sample matrix inversion with diagonal loading (SSMI-DL) for reverberation suppression in active sonar. The proposed method transfers Pulse Doppler radar STAP processing techniques into active sonar application, which utilizes the inverse reverberation covariance matrix to obtain adaptive weights and avoids singular reverberation covariance matrix with diagonal loading due to limited available received data. Simulation results are provided to verify that the SSMI-DL is more effective for improving slowly moving target detection for CW pulse than the conventional methods.
  • Keywords
    Doppler radar; covariance matrices; radar detection; sonar detection; space-time adaptive processing; sparse matrices; CW pulse; SSMI-DL; active sonar detection; adaptive weights; airborne radar; diagonal loading; inverse reverberation covariance matrix; pulse doppler radar STAP processing techniques; radar clutter; reverberation suppression; singular reverberation covariance matrix; space-time adaptive processing; sparse sample matrix inversion; target detection; temporal two-dimensional coupling characteristic; Arrays; Covariance matrix; Jamming; Loading; Reverberation; Sonar applications; Diagonal loading; Reverberation suppression; Sample matrix inverse; Space-time adaptive processing(STAP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-0893-0
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2011.6061800
  • Filename
    6061800