Blind noise cancellation in ultrasonic NDE using RPS and ICA: Computer simulation

Abstract

This paper proposes a new denoising method for ultrasonic nondestructive evaluation (NDE) signals using reconstructed phase space (RPS) and independent component analysis (ICA). The proposed method consists of four steps. Firstly a RPS is constructed from the ultrasonic NDE signal. The information about the underlying sources (e.g. ultrasonic signal, noise etc.) acting on the ultrasonic NDE system is contained in this RPS. Second ICA is performed on the RPS to recover all the sources underlying the RPS. Next the desired ultrasonic signal component is selected by decision criterion related to the denoising application and finally is reconstructed to obtain the denoised ultrasonic signal. To validate the proposed method it has been applied to the mixture of simulated ultrasonic NDE signals and Guassian White Noise (WGN). The simulation results show that the signal noise ratio (SNR) of the noise ultrasonic NDE signals can be enhanced greatly using the proposed method.