Volume 12 Issue 2
Apr.  2023
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YUE Yaxing, LI Tianyu, ZHOU Chengwei, et al. Research progress and prospect of sparse diversely polarized array design[J]. Journal of Radars, 2023, 12(2): 312–331. doi: 10.12000/JR22206
Citation: YUE Yaxing, LI Tianyu, ZHOU Chengwei, et al. Research progress and prospect of sparse diversely polarized array design[J]. Journal of Radars, 2023, 12(2): 312–331. doi: 10.12000/JR22206
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Research Progress and Prospect of Sparse Diversely Polarized Array Design

DOI: 10.12000/JR22206
  • 1.

    College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China

  • 2.

    School of Engineering, Westlake University, Hangzhou 310024, China

  • 3.

    Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province, Hangzhou 310015, China

Funds:  The National Key R&D Program of China (2018YFE0126300), The National Natural Science Foundation of China (61901413, U21A20456, 62271414), The Research Project of the State Key Laboratory of Industrial Control Technology (ICT2022A02), Zhejiang University Education Foundation Qizhen Scholar Foundation, The 5G Open Laboratory of Hangzhou Future Sci-Tech City
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  • Corresponding author: SHI Zhiguo, shizg@zju.edu.cn
  • Received Date: 2022-10-14
  • Rev Recd Date: 2022-12-01
    • Available Online: 2022-12-05
  • Publish Date: 2022-12-20
    Abstract
  • As compared with sparse scalar arrays and uniform diversely polarized arrays, sparse diversely polarized arrays show respectively advantages of possessing the ability of sensing the polarization state of source signals, avoiding polarization mismatch and increasing the degrees of freedom, reducing mutual coupling, decreasing hardware cost, etc. Therefore, the comprehensive research on sparse diversely polarized array is of great importance in both theory and realistic applications. The design architecture of sparse diversely polarized arrays, which are related not only to the location of the array elements, but also to the dipole/loop type, orientation, and polarization states of the antenna elements, are more diverse than those of sparse scalar arrays. This paper summarizes the relevant researches in this field in recent years, introduces and explores the mainstream sparse diversely polarized array structure optimization approaches from three aspects: non-uniformly sparse, uniformly sparse and mixed uniformly and non-uniformly sparse. Then the future development of sparse diversely polarized arrays is discussed in terms of deep learning-based optimization approach, sparse Multiple-Input Multiple-Output (MIMO) diversely polarized array, sparse Polarimetric Frequency Diverse Array (PFDA) radar and sparse PFDA-MIMO radar, sparse polarimetric reconfigurable intelligent surface, and the application of sparse diversely polarized array in complex indoor scenes, such as smart communications in house and Industrial Internet of Things.

     

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