• DocumentCode
    783313
  • Title

    Locally optimal and suboptimal signal detection in transformation noise

  • Author

    Au, Oscar C.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
  • Volume
    32
  • Issue
    2
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    742
  • Lastpage
    753
  • Abstract
    The efficacy of the optimal detector of a known vanishingly small signal in additive nonwhite transformation noise is compared with that of some eleven structurally simpler suboptimal detectors. Simulation is done under various signal choices, marginal densities, and correlation functions. The block g lo and the block combination g followed by R v -1 in the optimal detector structure are found to be important for good performance in constant and oscillating signals, respectively. Two suboptimal detectors with these block structures, D 8 and D 10, are found to perform well consistently in all situations considered. A structurally simple suboptimal detector D 2 is found to be good in the cases with less correlated noise.
  • Keywords
    correlation theory; digital simulation; noise; optimal systems; performance evaluation; signal detection; telecommunication computing; additive nonwhite transformation noise; asymptotic relative efficiency; constant signals; correlated noise; correlation functions; locally optimal signal detection; optimal detector structure; oscillating signals; simulation; suboptimal detectors; suboptimal signal detection; transformation noise; Additive noise; Autocorrelation; Background noise; Density functional theory; Detectors; Distribution functions; Gaussian noise; Gold; Matched filters; Noise generators; Polynomials; Signal detection; Testing;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.489517
  • Filename
    489517