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Multiple target detection using split spectrum processing and group delay moving entropy
Journal article

Multiple target detection using split spectrum processing and group delay moving entropy

Qi Tian, Xing Li, Nihat Bilgutay and Xiaowei Li
IEEE transactions on ultrasonics, ferroelectrics, and frequency control, v 42(6), pp 1076-1086
01 Jan 1995

Abstract

Entropy Mathematical models Nondestructive examination Signal filtering and prediction Signal to noise ratio Spurious signal noise Time domain analysis Ultrasonic applications
The split spectrum processing technique obtains a frequency-diverse ensemble of narrowband signals through a filterbank then recombines them nonlinearly to improve target visibility. Although split spectrum processing is an effective method for suppressing grain noise in ultrasonic nondestructive testing, its application was mainly limited to the detection of single targets or multiple targets having similar spectral characteristics. In this paper, the group delay moving entropy technique is introduced primarily to enhance the performance of split spectrum processing in detecting multiple targets which exhibit different spectral characteristics (i.e., variations in target signal center frequency and bandwidth). This is likely to occur in complex, dispersive, and nonhomogeneous media such as composites, layered, and clad materials, etc. The analysis shows that the group delay moving entropy method can be used effectively to select the optimal frequency region for split spectrum processing when detecting such targets. Based on an iterative procedure that combines group delay moving entropy and split spectrum processing, multiple targets can be identified one at a time, and subsequently eliminated by using time domain windows. The removal of the dominant target improves the detection of the remaining weaker targets. Simulation results are presented which demonstrate the feasibility of the multistep split spectrum processing technique for detecting multiple targets in such materials.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Acoustics
Engineering, Electrical & Electronic
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