• DocumentCode
    2507658
  • Title

    Angular resolution limit for vector-sensor arrays: Detection and information theory approaches

  • Author

    Vu, Dinh Thang ; El korso, Mohammed Nabil ; Boyer, Rémy ; Renaux, Alexandre ; Marcos, Sylvie

  • Author_Institution
    Lab. des Signaux et Syst. (L2S), Univ. Paris-Sud XI (UPS), Gif-sur-Yvette, France
  • fYear
    2011
  • fDate
    28-30 June 2011
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    The Angular Resolution Limit (ARL) on resolving two closely spaced polarized sources using vector-sensor arrays is considered in this paper. The proposed method is based on the information theory. In particular, the Stein´s lemma provides, asymptotically, a link between the probability of false alarm and the relative entropy between two hypothesis of a given statistical binary test. We show that the relative entropy can be approximated by a quadratic function in the ARL. This property allows us to derive and analyze a closed-form expression of the ARL. To illustrate the interest of our approach, the ARL, in the sense of the detection theory, is also derived. Finally, we show that the ARL is only sensitive to the norm of the polarization state vector and not to the particular values of the polarization parameters.
  • Keywords
    array signal processing; direction-of-arrival estimation; entropy; probability; signal detection; signal resolution; statistical testing; Stein lemma; angular resolution limit; closed-form expression; closely spaced polarized sources; direction-of-arrival estimation; information theory approach; polarization state vector; probability of false alarm; quadratic function; relative entropy; statistical binary test; vector-sensor arrays; Entropy; Information theory; Sensor arrays; Signal resolution; Signal to noise ratio; Angular resolution limit; detection theory; distance measure; information theory; polarized source localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2011 IEEE
  • Conference_Location
    Nice
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0569-4
  • Type

    conf

  • DOI
    10.1109/SSP.2011.5967838
  • Filename
    5967838