• DocumentCode
    2923554
  • Title

    Sparse iterative adaptive approach with application to source localization

  • Author

    Rowe, Wayne ; Jian Li ; Stoica, Petre

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2013
  • fDate
    15-18 Dec. 2013
  • Firstpage
    196
  • Lastpage
    199
  • Abstract
    The iterative adaptive approach (IAA) is a spectral estimation algorithm that provides high resolution estimates with as little as a single snapshot. However, IAA is not a sparsity promoting algorithm which might be desirable in specific applications. In this work, we present two approaches for producing sparse IAA estimates. We examine the performance using a source localization example.
  • Keywords
    direction-of-arrival estimation; iterative methods; signal classification; IAA; source localization; sparse iterative adaptive approach; spectral estimation algorithm; Arrays; Covariance matrices; Detectors; Estimation; Iterative methods; Matching pursuit algorithms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
  • Conference_Location
    St. Martin
  • Print_ISBN
    978-1-4673-3144-9
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2013.6714041
  • Filename
    6714041
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2923554