Maximum Likelihood Estimation of A-Scan Amplitudes for Coherent Targets in Media of Unresolvable Scatterers

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32 Scopus citations

Abstract

The paper derives maximum likelihood estimator (MLE) for A-scan amplitudes corresponding to coherent reflectors embedded in media of unresolvable scatterers. The MLE processes sampled RF A-scans from broadband ultrasonic pulse-echo systems. A major source of interference for these signals is the back scattered energy from the unresolvable scatterers that exist throughout the beam field. A statistical model is formulated that characterizes the back scattered energy from a resolution cell when a coherent target scatterer is present. The backscattered energy from the interfering scatterers is modeled by complex random variables corresponding to the discrete Fourier coefficients of the sampled resolution cell. It is shown that the MLE is equivalent to a matched filter when the distribution of the interfering back scatter energy is stationary over the resolution cell. In addition, the form of the MLE is described when the interfering echoes are not stationary within the resolution cell. Experimental results are presented for an adaptive implementation of the MLE applied to flaw detection in stainless steel. The results demonstrate the ability of the MLE to reveal targets masked by grain echoes, without a priori knowledge of the grain-echo spectral characteristics.

Original languageEnglish
Pages (from-to)422-431
Number of pages10
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume39
Issue number3
DOIs
StatePublished - May 1992

Bibliographical note

Funding Information:
Manuscript received December 18. 1990; revised September 15. 1991; accepted November 22, 1991. This work was supported in part by the National Science Foundation under Grant No. MIP-8920602 and in part by the National Cancer Institute and National Institutes of Health Grant No. CA52823. The author is with the Department of Electrical Engineering, University of Kentucky, Lexington, KY 40506-0046. IEEE Log Number 9107530.

Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.

ASJC Scopus subject areas

  • Instrumentation
  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering

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