• DocumentCode
    1679293
  • Title

    Derivation of an analytical expression of the Gaussian model Statistical Resolution Limit

  • Author

    Thameri, Messaoud ; Boyer, Remy ; Abed-Meraim, Karim

  • Author_Institution
    TSI Dept., TELECOM ParisTech, Paris, France
  • fYear
    2013
  • Firstpage
    5529
  • Lastpage
    5533
  • Abstract
    Statistical Resolution Limit (SRL), defined as the minimal separation to resolve two closely spaced signals, is one of the important tools to evaluate a given system performance. Based on S.T. Smith´s formulation of the SRL, this paper provides a methodology to compute an approximate analytical expression of the resolution limit in the Gaussian model case. As an application, we consider the particular case of two sources located in the near field and consider the resolution limit in terms of minimum angular separation. Discussion and numerical illustrations are then given to get more insights on the proposed derivation and to validate our theoretical results.
  • Keywords
    Gaussian processes; approximation theory; statistical analysis; Gaussian model statistical resolution limit; analytical expression derivation; minimum angular separation; Direction-of-arrival estimation; Equations; Mathematical model; Signal resolution; Signal to noise ratio; Taylor series; Vectors; CRB; Gaussian model; NFL; SRL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638721
  • Filename
    6638721