• DocumentCode
    1451333
  • Title

    Optimum eigenfilters and matched filters

  • Author

    Lakkis, I. ; McLernon, D.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Leeds Univ., UK
  • Volume
    32
  • Issue
    22
  • fYear
    1996
  • fDate
    10/24/1996 12:00:00 AM
  • Firstpage
    2068
  • Lastpage
    2070
  • Abstract
    The authors propose three criteria for maximising the signal-to-noise ratio in detecting a signal in noise. In the stochastic case, the optimal filter maximising the average power of the signal to the average power of the noise is an eigenfilter, and is usually considered as the stochastic counterpart of the matched filter. This interpretation is inexact. However, the optimum eigenfilter can be viewed as a filter matched to the principal component of the signal´s power spectral density. A fast, efficient technique for the computation of the optimum eigenfilter is proposed. Simulation results show the efficiency of the proposed algorithm
  • Keywords
    circuit noise; circuit optimisation; matched filters; signal detection; algorithm; eigenfilter; matched filter; optimum filter; power spectral density; signal detection; signal-to-noise ratio maximisation; simulation; stochastic process;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19961407
  • Filename
    543820