• DocumentCode
    1191058
  • Title

    A new use of ESPRIT for detection and model order estimation

  • Author

    Silverstein, Seth D.

  • Author_Institution
    GE Corp. Res. & Dev., Schenectady, NY, USA
  • Volume
    1
  • Issue
    10
  • fYear
    1994
  • Firstpage
    147
  • Lastpage
    149
  • Abstract
    This work studies the distribution of the ESPRIT roots in the complex z plane. Real source roots are tightly clustered about their true values, while pseudoroots corresponding to overestimated nonexisting sources are distributed broadly with a phase angle bias away from the real source roots. The ESPRIT roots distributions can be coupled with Neyman-Pearson tests for detection/system model order estimation. A mathematical derivation of the asymptotic distribution of the pseudoroots is given.<>
  • Keywords
    array signal processing; matrix algebra; parameter estimation; signal detection; statistical analysis; ESPRIT roots distribution; Neyman-Pearson tests; asymptotic distribution; complex z plane; frequency estimates; model order estimation; phase angle bias; pseudoroots; real source roots; signal detection; uniform linear receiving array; Covariance matrix; Eigenvalues and eigenfunctions; Frequency estimation; Narrowband; Research and development; Sensor arrays; Testing; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.329843
  • Filename
    329843