Identification of overlapped ultrasonic NDE echoes with adaptive deconvolution

Abstract

Ultrasonic nondestructive evaluation (NDE) application, narrow bandwidth of ultrasonic transducer will cause highly overlapped echoes, limiting the characterization performance of inspection. The least mean square (LMS) adaptive algorithm has gained wide applications in adaptive filtering, control and signal processing due to its effectiveness, low computational complexity and simplicity. The purpose of this paper is to investigate the LMS algorithm based adaptive deconvolution techniques in order to improving the time resolution of ultrasonic nondestructive detection. The theoretical basis as well as the implementation is provided. Experimental results on physical ultrasonic NDE data conforms the resolution improvement of proposed method.