Open AccessResearch on the Influence of Noise to Laser Ultrasound SAFT for Lead Defect Detection
Author(s) -
Tao Yang,
Wei He,
Jinghan He,
Hongliang He,
Jing Yuan,
Wan Zhang,
Lei Yuan,
Hongchao Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1622/1/012015
Subject(s) - noise (video) , aperture (computer memory) , signal (programming language) , resolution (logic) , acoustics , signal to noise ratio (imaging) , image resolution , optics , computer science , physics , artificial intelligence , image (mathematics) , programming language
Synthetic Aperture Focusing (SAFT) is one of the methods to improve the spatial resolution in the traditional acoustics field. Its basic principle is to combine a series of small-aperture sensors to replace a large-aperture sensor in order to improve the detection lateral resolution. However, the practical detection results will be affected by noise. In this paper, the time-domain B-scan signal is obtained by establishing a physical model of a lead sample containing defects and computing with finite element method. Then, the influence of noise with different signal-tonoise ratio(SNR) on SAFT imaging results is studied. The results show that SAFT algorithm has better anti-noise performance, and can still obtain good results even when the SNR is low.