• Photonics Research
  • Vol. 10, Issue 7, 1679 (2022)
Jingwen Dong1, Qiang Sun1、2, Zekun Jiao1, Liqi Zhang1、2, Ziqiang Yin1、2, Jiajie Huang1、2, Jinghan Yu3, Shu Wang3, Shangyuan Li3, Xiaoping Zheng3, and Wangzhe Li1、2、*
Author Affiliations
  • 1National Key Laboratory of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
  • 2School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
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    DOI: 10.1364/PRJ.459762 Cite this Article Set citation alerts
    Jingwen Dong, Qiang Sun, Zekun Jiao, Liqi Zhang, Ziqiang Yin, Jiajie Huang, Jinghan Yu, Shu Wang, Shangyuan Li, Xiaoping Zheng, Wangzhe Li. Photonics-enabled distributed MIMO radar for high-resolution 3D imaging[J]. Photonics Research, 2022, 10(7): 1679 Copy Citation Text show less

    Abstract

    Three-dimensional (3D) imaging radar is an advanced sensor applied in space surveillance and target recognition for supplying 3D geometric features and supporting visualization. However, high 3D resolution requires both broadband operation and a large 2D aperture, which are difficult and complex for conventional radars. This paper presents a photonics-enabled distributed multiple-input and multiple-output (MIMO) radar with a centralized architecture. By use of photonic multi-dimensional multiplexing, multi-channel signal generation and reception are implemented on a shared reference signal in a central office, enabling a highly coherent network with a simple structure. Additionally, a sparse array and a synthetic aperture are combined to efficiently reduce the required transceivers, further weakening the dilemma between system complexity and angular resolution. A 4×4 MIMO radar is established and evaluated in field tests. A high-resolution 3D image of a non-cooperative aircraft is obtained, in which rich details are displayed. From a comparison with electronics-based radar, significant resolution improvement is observed. The results verify the superior imaging capability and practicability of the proposed radar and its great potential to outperform conventional technologies in target classification and recognition applications.
    s0(t)rect(tTp)cos(2πf0t+πkt2)rect(tTp)cos[α(t)],rect(tTp)={1,|t|Tp/20,|t|Tp/2.

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    smn(t)rect(tτmnτTmTp)cos[α(tτmnτTm)].

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    Em(t)=n=1NEmn(t)n=1N{rect(tTmnTp)exp{j[ωn(tτRn)]}×cos{βmn2cos[α(tTmn)]+π4}}.

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    Em(t)n=1N{rect(tTmnTp)exp{j[ωn(tτRn)]}×cos{βmn2cos[α(tTmn)]+π4}×cos{β02cos[α(t)]+π4}},

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    sm(t)n=1N{rect(tTmnTp)cos2{βmn2cos[α(tTmn)]+π4}×cos2{β02cos[α(t)]+π4}}n=1N{rect(tTmnTp){1sin{βmncos[α(tTmn)]}}×{1sin{β0cos[α(t)]}}}n=1N{rect(tTmnTp)i=1+{J2i1(βmn)J2i1(β0)×cos{(2i1)[α(t)α(tTmn)]}}}.

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    sm(t)n=1Nrect(tTmnTp)cos(2πkTmnt+2πf0TmnπkTmn2).

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    τMIN+τTR_j+1>τMAX+τTR_j,j=1,2,,MN1.

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    Sm(f)n=1NVmnsinc[Tp(fkTmn)]exp(j2πf0Tmn)n=1N{Vmnsinc{Tp[f2kc(RmnRr_mn)]}×exp(j4πf0RmnRr_mnc)}.

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    Imn(f,fa)Vmnsinc{Tp[f2kc(RmnRr_mn)]}×sinc[Ta(fa2vmnλ)]×exp(j4πf0RmnRr_mnc),

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    Imn(f,fa)Vsinc[Tp(f2kRuc)]sinc[Ta(fa2vuλ)]×exp(j4πf0·Rmnc),

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    {Rr=0.886·c2B,θa=0.886·λ2D,θe=0.886·λ2L.

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    Jingwen Dong, Qiang Sun, Zekun Jiao, Liqi Zhang, Ziqiang Yin, Jiajie Huang, Jinghan Yu, Shu Wang, Shangyuan Li, Xiaoping Zheng, Wangzhe Li. Photonics-enabled distributed MIMO radar for high-resolution 3D imaging[J]. Photonics Research, 2022, 10(7): 1679
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