• DocumentCode
    995090
  • Title

    Spectral correlation in ultrasonic pulse echo signal processing

  • Author

    Donohue, Kevin D. ; Bressler, John M. ; Varghese, Tomy ; Bilgutay, Nihat M.

  • Author_Institution
    Dept. of Electr. Eng., Kentucky Univ., Lexington, KY, USA
  • Volume
    40
  • Issue
    4
  • fYear
    1993
  • fDate
    7/1/1993 12:00:00 AM
  • Firstpage
    330
  • Lastpage
    337
  • Abstract
    The effects of using spectral correlation in a maximum-likelihood estimator (MLE) for backscattered energy corresponding to coherent reflectors embedded in media of microstructure scatterers is considered. The spectral autocorrelation (SAC) function is analyzed for various scatterer configurations based on the regularity of the interspacing distance between scatterers. It is shown that increased regularity gives rise to significant spectral correlation, whereas uniform distribution of scatters throughout a resolution cell results in no significant correlation between spectral components. This implies that when a true uniform distribution for the effective scatterers exists, the power spectral density (PSD) is sufficient to characterize their echoes. However, as the microstructure scatterer distribution becomes more regular, SAC terms become more significant. MLE results for 15 A-scans from stainless steel specimens with three different grain sizes indicate an average 6-dB signal-to-noise ratio (SNR) improvement in the coherent scatterer (flat-bottom hole) echo intensities for estimators using the SAC characterization as opposed to the PSD characterization.<>
  • Keywords
    acoustic signal processing; correlation methods; flaw detection; maximum likelihood estimation; spectral analysis; ultrasonic materials testing; US NDT; backscattered energy; coherent reflectors; flat-bottom hole; flaw detection; interspacing distance; maximum-likelihood estimator; media of microstructure scatterers; power spectral density; spectral correlation; stainless steel specimens; ultrasonic pulse echo signal processing; Adaptive filters; Amplitude estimation; Autocorrelation; Frequency; Grain size; Maximum likelihood estimation; Microstructure; Parameter estimation; Scattering; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/58.251281
  • Filename
    251281