A Fast Failure Diagnosis Method Based on Structure Features of Planar Arrays

Sun, W., Zhang, Y., Le Kernec, J. and Imran, M. A. (2023) A Fast Failure Diagnosis Method Based on Structure Features of Planar Arrays. In: International Conference on Radar Systems (RADAR 2022), Edinburgh, UK, 24 - 27 October 2022, ISBN 9781839537776 (doi: 10.1049/icp.2022.2334)

Abstract

Array antennas are the basic components which are widely used in radar systems. In this paper, a fast failure diagnosis method is proposed based on structure information of planar arrays when the number of faulty elements is small. The proposed algorithm reduces the time spent locating the failed elements while maintaining the accuracy of the localization. Firstly, the sparse diagnosis model of a failure planar array is introduced. Considering the structure features of planar arrays, the vertical and horizontal elevation plane of the field pattern are used to decide the rows and columns of the failed elements, respectively. Besides, a new smaller subarray is constructed based on the rows and columns above and further diagnosed by the new measured field pattern. With the aid of theoretical analysis and simulation validation, it is shown that the proposed diagnosis method can localize faults faster compared with conventional diagnosis methods.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad and Le Kernec, Dr Julien
• Authors: Sun, W., Zhang, Y., Le Kernec, J., and Imran, M. A.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISBN: 9781839537776
• Copyright Holders: Copyright © The Institution of Engineering and Technology 2023
• First Published: First published in International Conference on Radar Systems (RADAR 2022)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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