Multilayered Circular Dielectric Structure SAR Imaging Based on Compressed Sensing for FOD Detection in NDT

• Published in: IEEE transactions on instrumentation and measurement Vol. 69; no. 10; pp. 7588 - 7593
• Main Authors: Wu, Baolong, He, Lei
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Circular synthetic aperture radar (C-SAR); compressed sensing (CS); Computer simulation; Dielectric measurement; Dielectrics; Imaging; microwave imaging; Nondestructive testing; Radar imaging; Radar polarimetry; SAR imaging; Signal processing algorithms; Synthetic aperture radar
• ISSN: 0018-9456; 1557-9662
• DOI: 10.1109/TIM.2020.2980801

This article presents a synthetic aperture radar (SAR) imaging algorithm based on a compressed sensing (CS) reconstruction approach, which is suitable for the detection of foreign object debris (FOD) located in a multilayered circular dielectric structure for nondestructive testing (NDT) application. The method proposed considers the refraction model at the boundaries between each two adjacent layers. This method is different from free space as imaging background assumption in previous CS-based SAR imaging applications. In addition, the prior information that the FOD is displayed with a sparse distribution is applied. Therefore, the method proposed could obtain better focus on effectiveness than time-reversal imaging algorithm with the same measurement points. Further, the CST simulations and the experiment were conducted by taking two small metallic targets as FOD embedded in the three-layered circular dielectric structure. The results of simulations and experiment demonstrated that the proposed method has better effect than previous methods.