• DocumentCode
    3742845
  • Title

    Sparse-representation-based adaptive interference suppression

  • Author

    Yishu Shi;Feng-Xiang Ge; Ying Chen;Suiling Ren

  • Author_Institution
    College of Information Science and Technology, Beijing Normal University, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Passive sources localization in the presence of strong interferences is generally a difficult problem. A sparse-representation-based adaptive interference suppression (SRAIS) method is proposed in this paper for interference suppression and bearing estimation, which can reduce the power loss of the TOI signal and have more accurate direction-of-arrival (DOA) estimation, especially when the input powers of the TOI signal and the interferences are at the almost same level. Simulation and experimental results are also given.
  • Keywords
    "Interference suppression","Signal to noise ratio","Arrays","Direction-of-arrival estimation","Acoustics","Estimation"
  • Publisher
    ieee
  • Conference_Titel
    OCEANS´15 MTS/IEEE Washington
  • Type

    conf

  • Filename
    7401918
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3742845