Open Access

ARTICLE

Research on the Signal Reconstruction of the Phased Array Structural Health Monitoring Based Using the Basis Pursuit Algorithm

Yajie Sun^1,2,*, Yanqing Yuan², Qi Wang², Lihua Wang³, Enlu Li², Li Qiao⁴

1 Jiangsu Engineering Centre of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
2 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
3 School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
4 Capability Systems Centre, School of Engineering and Information Technology, University of New South Wales, Canberra, 2600, Australia.

* Corresponding Author: Yajie Sun. Email: .

Computers, Materials & Continua 2019, 58(2), 409-420. https://doi.org/10.32604/cmc.2019.03642

Abstract

The signal processing problem has become increasingly complex and demand high acquisition system, this paper proposes a new method to reconstruct the structure phased array structural health monitoring signal. The method is derived from the compressive sensing theory and the signal is reconstructed by using the basis pursuit algorithm to process the ultrasonic phased array signals. According to the principles of the compressive sensing and signal processing method, non-sparse ultrasonic signals are converted to sparse signals by using sparse transform. The sparse coefficients are obtained by sparse decomposition of the original signal, and then the observation matrix is constructed according to the corresponding sparse coefficients. Finally, the original signal is reconstructed by using basis pursuit algorithm, and error analysis is carried on. Experimental research analysis shows that the signal reconstruction method can reduce the signal complexity and required the space efficiently.

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Citations