An Interpretable Deep-Unfolding Network for Real-Time Simultaneous Multi-Beam Synthesis in Sparse Phased-MIMO Radar

Zhongjia Ma, Zhongmin Pei, Wenyan Wei, Zhangkai Luo, Zengying Yue

Open source

DOI: 10.3390/s26206408
Published: 2026-10-10
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26206408,
  title = {An Interpretable Deep-Unfolding Network for Real-Time Simultaneous Multi-Beam Synthesis in Sparse Phased-MIMO Radar},
  author = {Zhongjia Ma and Zhongmin Pei and Wenyan Wei and Zhangkai Luo and Zengying Yue},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26206408},
  url = {https://doi.org/10.3390/s26206408}
}

RIS

TY  - JOUR
TI  - An Interpretable Deep-Unfolding Network for Real-Time Simultaneous Multi-Beam Synthesis in Sparse Phased-MIMO Radar
AU  - Zhongjia Ma
AU  - Zhongmin Pei
AU  - Wenyan Wei
AU  - Zhangkai Luo
AU  - Zengying Yue
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26206408
UR  - https://doi.org/10.3390/s26206408
ER  -

APA

Ma, Z., Pei, Z., Wei, W., Luo, Z., & Yue, Z. (2026). An Interpretable Deep-Unfolding Network for Real-Time Simultaneous Multi-Beam Synthesis in Sparse Phased-MIMO Radar. Sensors. https://doi.org/10.3390/s26206408

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crossref · retrieved 2026-11-05T01:48:56.557Z