Array Failure Diagnosis Using Nonconvex Compressed Sensing

被引:34
|
作者
Ince, Taner [1 ]
Ogucu, Golge [1 ]
机构
[1] Gaziantep Univ, Dept Elect & Elect Engn, TR-27310 Gaziantep, Turkey
关键词
Antenna arrays; antenna measurements; compressed sensing; fault diagnosis; RECONSTRUCTION; FOURIER;
D O I
10.1109/LAWP.2015.2489760
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
The array diagnosis technique based on nonconvex compressed sensing approach is introduced for a uniform linear array. In this sense, l(p) minimization problem with p < 1 is proposed for array diagnosis problem and it is solved using a weighted least squares approach. The proposed approach locates the faulty elements using less far-field measurements compared to the standard l(1) minimization.
引用
收藏
页码:992 / 995
页数:4
相关论文
共 50 条
  • [41] Compressed Sensing ImagingWith the KAT-7 Array
    Schwardt, Ludwig C.
    2012 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS (ICEAA), 2012, : 690 - 693
  • [42] Detection of Defective Sensors in Phased Array Using Compressed Sensing and Hybrid Genetic Algorithm
    Khan, Shafqat Ullah
    Qureshi, Ijaz Mansoor
    Naveed, Aqdas
    Shoaib, Bilal
    Basit, Abdul
    JOURNAL OF SENSORS, 2016, 2016
  • [43] Fast non-convex compressed sensing approach for diagnosis of defective array elements using planar near-field measurements
    Li, Wei
    Deng, Weibo
    Yang, Qiang
    Migliore, Marco D.
    IET MICROWAVES ANTENNAS & PROPAGATION, 2019, 13 (11) : 1940 - 1947
  • [44] Fast diagnosis approach for defective array elements using non-convex compressed sensing with planar near-field measurements
    Li W.
    Deng W.
    Yang Q.
    Marco D.M.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2019, 41 (06): : 1173 - 1179
  • [45] Fault Diagnosis of a Propeller Using Sub-Nyquist Sampling and Compressed Sensing
    Kato, Yuki
    IEEE ACCESS, 2022, 10 : 16969 - 16976
  • [46] Nonconvex prior image constrained compressed sensing (NCPICCS): Theory and simulations on perfusion CT
    Ramirez-Giraldo, J. C.
    Trzasko, J.
    Leng, S.
    Yu, L.
    Manduca, A.
    McCollough, C. H.
    MEDICAL PHYSICS, 2011, 38 (04) : 2157 - 2167
  • [47] High-order block RIP for nonconvex block-sparse compressed sensing
    Huang, Jianwen
    Liu, Xinling
    Hou, Jingyao
    Wang, Jianjun
    Zhang, Feng
    Jia, Jinping
    JOURNAL OF INVERSE AND ILL-POSED PROBLEMS, 2024, 32 (04): : 647 - 668
  • [48] Restricted p-isometry properties of nonconvex block-sparse compressed sensing
    Wang, Yao
    Wang, Jianjun
    Xu, Zongben
    SIGNAL PROCESSING, 2014, 104 : 188 - 196
  • [49] Reconstruction of Dispersion Curves in the Frequency-Wavenumber Domain Using Compressed Sensing on a Random Array
    Dremeau, Angelique
    Le Courtois, Florent
    Bonnel, Julien
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2017, 42 (04) : 914 - 922
  • [50] A compressed sensing approach for detection of explosive threats at standoff distances using a Passive Array of Scatters
    Martinez-Lorenzo, Jose Angel
    Rodriguez-Vaqueiro, Yolanda
    Rappaport, Carey M.
    Rubinos Lopez, Oscar
    Garcia Pino, Antonio
    2012 IEEE INTERNATIONAL CONFERENCE ON TECHNOLOGIES FOR HOMELAND SECURITY, 2012, : 134 - 139