• DocumentCode
    3519431
  • Title

    Statistical nonidentifiability of close emitters: Maximum-likelihood estimation breakdown and its GSA analysis

  • Author

    Abramovich, Yuri ; Johnson, Ben ; Spencer, Nick

  • Author_Institution
    Surveillance & Reconnaissance Div., Defence Sci. & Technol. Organ., Edinburgh, SA
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2133
  • Lastpage
    2136
  • Abstract
    We investigate the ldquoambiguity regionrdquo associated with erroneous maximum-likelihood (ML) direction-of-arrival (DOA) estimates of closely spaced signals, near and below the ldquoresolution limitrdquo. We demonstrate that the general statistical analysis (GSA) technique can accurately predict the ambiguity region for a given scenario. We consider that this prediction may be used together with the Barankin bound (BB) to form a more comprehensive description of maximum-likelihood estimation (MLE) performance in the problematic ldquothreshold regionrdquo where ML techniques suffer from a dramatic failure rate (ldquoperformance breakdownrdquo).
  • Keywords
    array signal processing; direction-of-arrival estimation; maximum likelihood estimation; signal resolution; Barankin bound; GSA analysis; ambiguity region; direction-of-arrival estimation; general statistical analysis technique; maximum-likelihood estimation breakdown; signal resolution; Antenna arrays; Australia; Direction of arrival estimation; Electric breakdown; Histograms; Maximum likelihood estimation; Reconnaissance; Signal analysis; Surveillance; Technological innovation; Parameter estimation; array signal processing; maximum likelihood estimation; signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960038
  • Filename
    4960038