A FAST FAILURE DIAGNOSIS METHOD BASED ON STRUCTURE FEATURES OF PLANAR ARRAYS

Weirong Sun; Ying Zhang; Julien Le Kernec; Muhammad Ali Imran

doi:10.1049/icp.2022.2334

A FAST FAILURE DIAGNOSIS METHOD BASED ON STRUCTURE FEATURES OF PLANAR ARRAYS

Weirong Sun
, Ying Zhang
, Julien Le Kernec
, Muhammad Ali Imran

University of Electronic Science and Technology of China
University of Glasgow

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	IET Conference Proceedings
Publisher	Institution of Engineering and Technology
Pages	300-305
Number of pages	6
Volume	2022
Edition	17
ISBN (Electronic)	9781839537776
DOIs	https://doi.org/10.1049/icp.2022.2334
State	Published - 2022
Externally published	Yes
Event	2022 International Conference on Radar Systems, RADAR 2022 - Edinburgh, Virtual, United Kingdom Duration: 24 Oct 2022 → 27 Oct 2022

Conference

Conference	2022 International Conference on Radar Systems, RADAR 2022
Country/Territory	United Kingdom
City	Edinburgh, Virtual
Period	24/10/22 → 27/10/22

Keywords

FAILURE DIAGNOSIS
HORIZONTAL DIVISION
PLANAR ARRAY
STRUCTURE FEATURES
VERTICAL

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10.1049/icp.2022.2334

Cite this

@inproceedings{042751e28cb94d0c91154a3f37816512,

title = "A FAST FAILURE DIAGNOSIS METHOD BASED ON STRUCTURE FEATURES OF PLANAR ARRAYS",

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.",

keywords = "FAILURE DIAGNOSIS, HORIZONTAL DIVISION, PLANAR ARRAY, STRUCTURE FEATURES, VERTICAL",

author = "Weirong Sun and Ying Zhang and \{Le Kernec\}, Julien and Imran, \{Muhammad Ali\}",

note = "Publisher Copyright: {\textcopyright} 2022 IET Conference Proceedings. All rights reserved.; 2022 International Conference on Radar Systems, RADAR 2022 ; Conference date: 24-10-2022 Through 27-10-2022",

year = "2022",

doi = "10.1049/icp.2022.2334",

language = "English",

volume = "2022",

pages = "300--305",

booktitle = "IET Conference Proceedings",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

edition = "17",

}

Sun, W, Zhang, Y, Le Kernec, J & Imran, MA 2022, A FAST FAILURE DIAGNOSIS METHOD BASED ON STRUCTURE FEATURES OF PLANAR ARRAYS. in IET Conference Proceedings. 17 edn, vol. 2022, Institution of Engineering and Technology, pp. 300-305, 2022 International Conference on Radar Systems, RADAR 2022, Edinburgh, Virtual, United Kingdom, 24/10/22. https://doi.org/10.1049/icp.2022.2334

TY - GEN

T1 - A FAST FAILURE DIAGNOSIS METHOD BASED ON STRUCTURE FEATURES OF PLANAR ARRAYS

AU - Sun, Weirong

AU - Zhang, Ying

AU - Le Kernec, Julien

AU - Imran, Muhammad Ali

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - FAILURE DIAGNOSIS

KW - HORIZONTAL DIVISION

KW - PLANAR ARRAY

KW - STRUCTURE FEATURES

KW - VERTICAL

UR - https://www.scopus.com/pages/publications/85174644674

U2 - 10.1049/icp.2022.2334

DO - 10.1049/icp.2022.2334

M3 - Conference contribution

AN - SCOPUS:85174644674

VL - 2022

SP - 300

EP - 305

BT - IET Conference Proceedings

PB - Institution of Engineering and Technology

T2 - 2022 International Conference on Radar Systems, RADAR 2022

Y2 - 24 October 2022 through 27 October 2022

ER -

A FAST FAILURE DIAGNOSIS METHOD BASED ON STRUCTURE FEATURES OF PLANAR ARRAYS

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Keywords

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