Abstract
The results of a detailed analytical study of the effects of sensor signal processing techniques on clutter suppression and image enhancement for nondestructive testing (NDT) systems are presented. In the analysis described, a relatively simple beamforming/diffraction model is developed for near-field, wideband, synthetic aperture ultrasonic imaging in NDT systems. The physical model is used to quantitatively evaluate a variety of front-end sensor signal processing tradeoffs for enhanced detection and sizing of defects. It is shown using statistical microscopic scattering calculations that a combination of increased spatial sampling and windowing can increase the signal-to-clutter ratio by approximately 17 dB while maintaining crack size resolutions well below future projected specifications.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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