Failure diagnosis for time-modulated arrays based on compressed sensing

AbstractTime-modulated arrays (TMAs) have a high design degrees of freedom (DoFs) to improve radiation performance, while they are prone to failure due to their hardware characteristics. In this article, we propose a novel technique to diagnose impaired TMAs based on compressed sensing (CS). The TMA diagnosis problem is reformulated as a sparse signal recovery problem at the center frequency and sidebands. Then, a method based on the difference of convex sets theory and sequential convex programming (DCS-SCP) is developed to implement diagnosis for impaired TMAs. Using a small number of far-field measurements at the same position but different frequencies, the joint recovery of the equivalent excitations at the center frequency and sidebands is realized by a mixed l0/l2-norm minimization method. The numerical simulation and the successful comparison with the state-of-the-art algorithms demonstrate the superiority of the proposed methods in terms of noise robustness and diagnosis accuracy.Keywords: Array failurecompressed sensingconvex programmingtime-modulated arrays Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationNotes on contributorsGuo BaiGuo Bai received the B.E. degree in electronic information science and technology from the Chengdu University of Information and Technology, China, in 2019. He is currently pursuing the Ph.D. degree in philosophy with the School of Physical Science and Technology, Southwest Jiaotong University, China., His research interests include antenna array diagnosis algorithms, array synthesis algorithms, computational electromagnetic and electromagnetic optimization algorithms.Cheng LiaoCheng Liao received the Ph.D. degree in electromagnetic fields and microwave techniques from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 1995. From 1997 to 1998, he was a Visiting Scholar at the City University of Hong Kong, Kowloon Tong, Hong Kong. He became a Professor with Southwest Jiaotong University, Chengdu, China, in 1998. His research interests include high-power microwave technology, computational electromagnetic, and antenna.You-Feng ChengYou-Feng Cheng received the Ph.D. degree in radio physics from the University of Electronic Science and Technology of China, Chengdu, China, in 2018. In 2017, he joined the Mechanical Engineering Department, University of Houston, Houston, TX, USA, as a Visiting Scholar. In 2018, he joined Southwest Jiaotong University (SWJTU), Chengdu, China. He is currently an Associate Professor with the Institute of Electromagnetics, SWJTU. He has authored or coauthored more than 40 peer reviewed papers. His research interests include phased arrays, reconfigurable antennas, low-RCS antennas, array analysis and synthesis, and evolutionary algorithms.Yuanzhi LiuYuanzhi Liu (Student Member, IEEE) received the B.Eng. degree in electronics from the Chengdu University of Information Technology, Chengdu, China, in 2019. He is currently pursuing the M.A.Sc. degree in electrical and computer engineering with the University of Ottawa, Ottawa, ON, Canada.,His research interests include antenna design, computational electromagnetics, and RF/microwave circuits.Ju FengJu Feng received the Ph.D. degree in electromagnetic field and microwave technology from Southwest Jiaotong University, Chengdu, China, in 2014.,She is currently an Associate Professor with the Institute of Electromagnetic Field and Microwave Technology, Southwest Jiaotong University. Her major research interests include antenna theory and design, computational electromagnetics, and electromagnetic wave propagation.Xuanming ZhongXuanming Zhong received the Bachelor's and Master's degrees from Southwest Jiaotong University, Chengdu, China, in 2003. Since 2012, he has been an Associate Professor with Southwest Jiaotong University. His research interests include high-power microwave technology, computational electromagnetic, and antenna.