• DocumentCode
    2474161
  • Title

    A lower confidence limit for the number of signals

  • Author

    Chen, Pinyuen ; Wicks, Michael C.

  • Author_Institution
    Radar Signal Process. Branch, Air Force Res. Lab., Rome, NY, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    356
  • Lastpage
    361
  • Abstract
    We propose a multi-step procedure for constructing a lower confidence limit for the number of signals present. We derive the probability of a correct estimation, P(CE), and the least favorable configuration (LFC) for our procedure. Under LFC, the P(CE) attains its minimum over the parameter space of all eigenvalues. Therefore a minimum sample size can be determined in order to implement our procedure with a guaranteed probability requirement.
  • Keywords
    covariance matrices; eigenvalues and eigenfunctions; estimation theory; probability; radar detection; radar signal processing; statistical analysis; correct estimation probability; covariance matrix; eigenvalues; least favorable configuration; lower confidence limit; radar data; radar signal processing; statistical ranking theory; statistical selection theory; Airborne radar; Analysis of variance; Covariance matrix; Eigenvalues and eigenfunctions; Laboratories; Principal component analysis; Probability; Radar signal processing; Sections; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2002. Proceedings of the IEEE
  • Print_ISBN
    0-7803-7357-X
  • Type

    conf

  • DOI
    10.1109/NRC.2002.999744
  • Filename
    999744