• DocumentCode
    3472557
  • Title

    Estimation of high count rate signals with a digital filter

  • Author

    Shertukde, H.M. ; Godbout, L.F. ; Elmurr, S.C.

  • Author_Institution
    Hartford Univ., West Hartford, CT, USA
  • fYear
    1993
  • fDate
    1-3 Aug. 1993
  • Firstpage
    379
  • Lastpage
    381
  • Abstract
    A methodology for estimating the magnitude of signals generally found in a high-count-rate (HCR) system is presented. An analog system which is presently used for estimating such HCR signals has a moderate resolution and poor throughput. In order to enhance these performance measures, a digital signal processor design which maximizes the signal-to-noise ratio (SNR) of the sequence of measurements is used. The signal to be considered is deterministic and assumed to be known, and is corrupted by colored noise due to inherent sensor imperfections and the environment. By using the digital filter the improvement in resolution is marginal, whereas the expected improvement in throughput is considerable. The performance of the digital signal processor is evaluated for a SNR value of approximately 65 dB.<>
  • Keywords
    digital filters; filtering and prediction theory; signal processing; 65 dB; S/N ratio; colored noise; digital filter; digital signal processor; high count rate signal estimation; Digital filters; Filtering; Prediction methods; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Engineering, 1991., IEEE International Conference on
  • Conference_Location
    Dayton, OH, USA
  • Print_ISBN
    0-7803-0173-0
  • Type

    conf

  • DOI
    10.1109/ICSYSE.1991.161157
  • Filename
    161157