• DocumentCode
    1151213
  • Title

    On the Improvability and Nonimprovability of Detection via Additional Independent Noise

  • Author

    Bayram, Suat ; Gezici, Sinan

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
  • Volume
    16
  • Issue
    11
  • fYear
    2009
  • Firstpage
    1001
  • Lastpage
    1004
  • Abstract
    Addition of independent noise to measurements can improve performance of some suboptimal detectors under certain conditions. In this letter, sufficient conditions under which the performance of a suboptimal detector cannot be enhanced by additional independent noise are derived according to the Neyman-Pearson criterion. Also, sufficient conditions are obtained to specify when the detector performance can be improved. In addition to a generic condition, various explicit sufficient conditions are proposed for easy evaluation of improvability. Finally, a numerical example is presented and the practicality of the proposed conditions is discussed.
  • Keywords
    probability; signal detection; statistical testing; Neyman-Pearson criterion; additional independent noise; binary hypothesis testing; probability; suboptimal detector; Binary hypothesis-testing; Neyman–Pearson; detection;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2009.2028418
  • Filename
    5175271