• DocumentCode
    2430384
  • Title

    Reduced rank detection algorithms for distributed array sensors

  • Author

    Jung, Byung Wook ; Adve, Raviraj S. ; Chun, Joohwan

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., KAIST, Daejeon, South Korea
  • fYear
    2010
  • fDate
    8-13 Aug. 2010
  • Abstract
    Distributed sensing systems provide an inherent spatial diversity by viewing a potential target from different aspect angles. Even though the centralized fully adapted processing scheme provides optimum performance, it is impractical for reasons of computational complexity and the sample support required for weight training. This paper presents two decentralized reduced rank STAP algorithms to overcome the drawbacks of centralized fully adapted processing.
  • Keywords
    computational complexity; distributed sensors; sensor arrays; computational complexity; decentralized reduced rank STAP algorithm; distributed array sensors; distributed sensing systems; optimum performance; reduced rank detection; spatial diversity; weight training; Apertures; Covariance matrix; Frequency diversity; Interference; Radar; Receivers; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Waveform Diversity and Design Conference (WDD), 2010 International
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    2150-4652
  • Print_ISBN
    978-1-4244-8202-3
  • Type

    conf

  • DOI
    10.1109/WDD.2010.5592364
  • Filename
    5592364
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2430384