A compressed sensing-based diagnosis method for impaired subarrayed antenna arrays

被引：1
|
作者：
Bai, Guo [1 ]
Zhong, Xuanming [1 ]
He, Xinye [2 ]
Liao, Cheng [1 ]
机构：
[1] Southwest Jiaotong Univ, Inst Electromagnet, Chengdu, Peoples R China
[2] Univ Chinese Acad Sci, Sch Optoelect, Beijing, Peoples R China
来源：
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2023年 / 65卷 / 09期
基金：
中国国家自然科学基金;
关键词：
compressed sensing; fault diagnosis; iterative weighted; PHASED-ARRAYS; OPTIMIZATION; PATTERNS;
D O I：
10.1002/mop.33759
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel diagnosis method for impaired subarrayed antenna arrays is proposed in this letter. The proposed method can be applied to the diagnosis of both impaired subarrays and failed elements by analyzing the impairment circumstances and using the compressing sensing -based method. The accuracy of the diagnosis results is greatly improved through an iterative reweighted l1 -norm method with the matrix techniques, even if there are many failed elements in each impaired subarrays. The analysis of numerical examples, including the diagnoisis of linear arrays and planar arrays, and the comparison with the state-of-the-art diagnosis techniques show the superiority of the proposed method for the application of diagnosis of impaired subarrayed arrays.
引用
收藏
页码：2632 / 2639
页数：8
相关论文
共 50 条
  • [1] Synthesis of Minimally Subarrayed Linear Arrays via Compressed Sensing Method
    Zhao, Xiaowen
    Yang, Qingshan
    Zhang, Yunhua
    [J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2019, 18 (03): : 487 - 491
  • [2] A Compressed Sensing-Based Element Failure Diagnosis Method for Phased Array Antenna During Beam Steering
    Xiong, Can
    Xiao, Gaobiao
    Hou, Yibei
    Hameed, Musab
    [J]. IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2019, 18 (09): : 1756 - 1760
  • [3] Compressed Sensing-Based DOA Estimation with Antenna Phase Errors
    Liu, Linxi
    Zhang, Xuan
    Chen, Peng
    [J]. ELECTRONICS, 2019, 8 (03):
  • [4] Speech Enhancement Using Compressed Sensing-based method
    Haneche, Houria
    Boudraa, Bachir
    Ouahabi, Abdeldjalil
    [J]. PROCEEDINGS 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2018, : 208 - 213
  • [5] Impact of antenna directivity on compressed sensing-based DOA estimation employing UCA antenna
    Suganuma, Hirofumi
    Takizawa, Keisuke
    Kobayashi, Takeshi
    Otani, Ikuya
    Mitsui, Tsutomu
    [J]. IEICE COMMUNICATIONS EXPRESS, 2023,
  • [6] Antenna placement optimisation for compressed sensing-based distributed MIMO radar
    Chen, Peng
    Qi, Chenhao
    Wu, Lenan
    [J]. IET RADAR SONAR AND NAVIGATION, 2017, 11 (02): : 285 - 293
  • [7] A Practical Compressed Sensing-Based Pan-Sharpening Method
    Jiang, Cheng
    Zhang, Hongyan
    Shen, Huanfeng
    Zhang, Liangpei
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 9 (04) : 629 - 633
  • [8] A Compressed Sensing-Based Imaging System
    Alvarez-Lopez, Yuri
    Rodriguez-Vaqueiro, Yolanda
    Gonzalez-Valdes, Borja
    Martinez-Lorenzo, Jose Angel
    Las-Heras, Fernando
    Rappaport, Carey M.
    [J]. 2014 8TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2014, : 3596 - U1763
  • [9] Compressed Sensing-based Smoke Simulation
    Zhang, Ruixue
    Yang, Xubo
    [J]. 2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2012, : 241 - 244
  • [10] Far-Field Phaseless Diagnosis for Impaired Arrays Based on Artificial Neural Networks and Compressed Sensing
    Bai, Guo
    Liao, Cheng
    Liu, Yuanzhi
    Cheng, You-Feng
    [J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2024, 72 (02) : 1581 - 1592
12345