Experimental Investigation on Subwavelength Imaging With Temporal-Spatial Random Illuminations

被引:3
作者
Zhou, Tianyi [1 ]
Li, Huan [2 ]
Xu, Kuiwen [3 ]
Lv, Qinyi [4 ]
Denidni, Tayeb A. [2 ]
机构
[1] Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo 315211, Zhejiang, Peoples R China
[2] Natl Inst Sci Res INRS, Montreal, PQ H5A1K6, Canada
[3] Hangzhou Dianzi Univ, Key Lab RF Circuits & Syst, Minist Educ, Hangzhou 310018, Zhejiang, Peoples R China
[4] Northwestern Polytech Univ, Sch Elect & Informat, Xian 710100, Shaanxi, Peoples R China
关键词
Microwave imaging; random illuminations; subwavelength; l(1)-norm;
D O I
10.1109/TIM.2019.2954758
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
Although significant progress has been achieved in microwave imaging, high/super-resolution imaging remains a long-sought-after goal. A subwavelength imaging based on temporal-spatial random illuminations is experimentally investigated. Experiments are conducted using a single-frequency array aperture with random phase modulation. The inversion is performed by two different algorithms based on the linear imaging model, and the results show that the location and profile of the object can be successfully reconstructed in a subwavelength scale. In contrast to the broadband meta-assisted imager, an imaging resolution of 0.6 lambda is achieved while the spectrum/energy efficiency are both guaranteed in the proposed imaging system. These imply the potential of the presented subwavelength imaging method for practical applications.
引用
收藏
页码:18 / 20
页数:3
相关论文
共 16 条
  • [1] [Anonymous], [No title captured]
  • [2] [Anonymous], [No title captured]
  • [3] DEVELOPMENTS IN RADAR IMAGING
    AUSHERMAN, DA
    KOZMA, A
    WALKER, JL
    JONES, HM
    POGGIO, EC
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1984, 20 (04) : 363 - 400
  • [4] A new TwIST: Two-step iterative shrinkage/thresholding algorithms for image restoration
    Bioucas-Dias, Jose M.
    Figueiredo, Mario A. T.
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2007, 16 (12) : 2992 - 3004
  • [5] Chen X., 2018, COMPUTATIONAL METHOD
  • [6] An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    Daubechies, I
    Defrise, M
    De Mol, C
    [J]. COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS, 2004, 57 (11) : 1413 - 1457
  • [7] Elad M, 2010, SPARSE AND REDUNDANT REPRESENTATIONS, P3, DOI 10.1007/978-1-4419-7011-4_1
  • [8] Metamaterial Apertures for Computational Imaging
    Hunt, John
    Driscoll, Tom
    Mrozack, Alex
    Lipworth, Guy
    Reynolds, Matthew
    Brady, David
    Smith, David R.
    [J]. SCIENCE, 2013, 339 (6117) : 310 - 313
  • [9] Metasurfaces and their applications
    Li, Aobo
    Singh, Shreya
    Sievenpiper, Dan
    [J]. NANOPHOTONICS, 2018, 7 (06) : 989 - 1011
  • [10] Machine-learning reprogrammable metasurface imager
    Li, Lianlin
    Ruan, Hengxin
    Liu, Che
    Li, Ying
    Shuang, Ya
    Alu, Andrea
    Qiu, Cheng-Wei
    Cui, Tie Jun
    [J]. NATURE COMMUNICATIONS, 2019, 10 (1)