Identification of Ultrasonic Overlapped Signals based on Attenuation Matching and Sparse Deconvolution

Abstract

The difficulty of detecting the thickness of steel layer under high attenuation rubber mainly includes the signal-to-noise ratio and axial resolution. The ultrasonic chirp-coded excitation method with attenuation matching can obtain higher signal-to-noise ratio gain at the expense of axial resolution. However, the wider main lobe and the primary echo of rubber steel interface will seriously interfere with the judgment of steel thickness. In order to solve this problem, sparse deconvolution can be used to improve the resolution of echo based on the attenuation matching method. The results show that the signal-to-noise ratio gain brought by the attenuation matching method is conducive to the echo recognition of sparse deconvolution, and the design scheme of wavelet considering attenuation can obtain better deconvolution effect.