Title: Compressive sensing of piezoelectric sensor response signal for phased array structural health monitoring

Authors: Yajie Sun; Feihong Gu

Addresses: Jiangsu Engineering Centre of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China; School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China ' Jiangsu Engineering Centre of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China; Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China; School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China

Abstract: There are three steps for compressive sensing, such as the sparse representation of signal, the design of observation matrix and the reconstruction of signal. The existing observation matrix may lose the part information of the original signal after compressing and sampling. Then, the adaptive observation matrix is proposed to sparse samples for ultrasonic wave signals that are analysed in the phased array structural health monitoring. The matrix is generated adaptively according to the information of the sparse coefficients vector, so that the sparse signal can include all the information of the original signal after compressing and sampling. Moreover, the orthogonal matching pursuit (OMP) algorithm will be used in reconstructing the ultrasonic wave signal with high probability. Finally, experiments were carried out on the aluminium plate. The proposed method that based on the adaptive observation matrix can effectively reduce the reconstruction error and more accurately and completely reconstruct the sensor response signal.

Keywords: observation matrix; adaptive; ultrasonic wave; compressive sensing; sparse reconstruction.

DOI: 10.1504/IJSNET.2017.083531

International Journal of Sensor Networks, 2017 Vol.23 No.4, pp.258 - 264

Received: 24 Aug 2016
Accepted: 13 Oct 2016
Published online: 09 Apr 2017 *

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