• DocumentCode
    730580
  • Title

    Transient interference suppression via structured low-rank matrix decomposition

  • Author

    Mao Li ; Zhu He

  • Author_Institution
    EE Dept., Univ. of Electron. Sci. & Tech. of China, Chengdu, China
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    3746
  • Lastpage
    3750
  • Abstract
    Transient interference can dramatically degrade the performance of over-the-horizon radar (OTHR). A novel transient interference suppression method based on structured low-rank matrix decomposition is proposed in this paper. Unlike most of the traditional interference suppression methods which need three steps: detect interferences, excise corrupted data and reconstruct excised data, the proposed method formulates the interference suppression as a Hankel matrix decomposition problem and suppress the interference via a single process of optimization. In addition, the proposed algorithm can suppress not only the interferences including the weak and strong ones, but also the noise. Simulation and experimental results have demonstrated the effectiveness of the proposed method.
  • Keywords
    interference suppression; matrix decomposition; radar signal processing; Hankel matrix decomposition problem; OTHR; novel transient interference suppression method; optimization; over-the-horizon radar; structured low-rank matrix decomposition; Interference suppression; Matrix decomposition; low-rank matix decomposition; over-the-horizon radar (OTHR); transient interference suppression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7178671
  • Filename
    7178671