A comprehensive review of metasurface-assisted direction-of-arrival estimation
Direction of arrival (DoA) estimation is a key research focus in array signal processing, and numerous progressive direction-finding algorithms have already been developed. In terms of the development of algorithms, metasurfaces can help innovate traditional estimation algorithms as an excellent alt...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2024-10-01
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| Series: | Nanophotonics |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nanoph-2024-0423 |
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| _version_ | 1823860483099197440 |
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| author | Huang Min Li Ruichen Zou Yijun Zheng Bin Qian Chao Jin Hui Chen Hongsheng |
| author_facet | Huang Min Li Ruichen Zou Yijun Zheng Bin Qian Chao Jin Hui Chen Hongsheng |
| author_sort | Huang Min |
| collection | DOAJ |
| description | Direction of arrival (DoA) estimation is a key research focus in array signal processing, and numerous progressive direction-finding algorithms have already been developed. In terms of the development of algorithms, metasurfaces can help innovate traditional estimation algorithms as an excellent alternative to phased arrays. New types of artificial intelligence continue to impact traditional algorithms as well as the detection of the incoming wave direction. Miniaturized and integrated incoming wave estimation devices suitable for various systems have become a significant trend in hardware implementation. In this study, the latest progress and trends in this emerging field are reviewed, and their potential value is assessed. First, a brief overview of a combination of classical DoA algorithms and metasurface is presented. Based on this, the applications of common subspace and sparse representation methods were surveyed, followed by a discussion of their potential prospects. The use of artificial intelligence combined with metasurfaces to innovate DoA detection is discussed. Finally, challenges and opportunities for advancing metasurfaces and artificial intelligence in this frontier field are discussed. |
| format | Article |
| id | doaj-art-323e4434c8e94d4ba2bc97785d3fdfad |
| institution | Kabale University |
| issn | 2192-8614 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Nanophotonics |
| spelling | doaj-art-323e4434c8e94d4ba2bc97785d3fdfad2025-02-10T13:24:47ZengDe GruyterNanophotonics2192-86142024-10-0113244381439610.1515/nanoph-2024-0423A comprehensive review of metasurface-assisted direction-of-arrival estimationHuang Min0Li Ruichen1Zou Yijun2Zheng Bin3Qian Chao4Jin Hui5Chen Hongsheng6Interdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou310027, ChinaInterdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou310027, ChinaInterdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou310027, ChinaInterdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou310027, ChinaInterdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou310027, ChinaInternational Joint Innovation Center, Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang, The Electromagnetics Academy at Zhejiang University, Zhejiang University, Haining314400, ChinaInterdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou310027, ChinaDirection of arrival (DoA) estimation is a key research focus in array signal processing, and numerous progressive direction-finding algorithms have already been developed. In terms of the development of algorithms, metasurfaces can help innovate traditional estimation algorithms as an excellent alternative to phased arrays. New types of artificial intelligence continue to impact traditional algorithms as well as the detection of the incoming wave direction. Miniaturized and integrated incoming wave estimation devices suitable for various systems have become a significant trend in hardware implementation. In this study, the latest progress and trends in this emerging field are reviewed, and their potential value is assessed. First, a brief overview of a combination of classical DoA algorithms and metasurface is presented. Based on this, the applications of common subspace and sparse representation methods were surveyed, followed by a discussion of their potential prospects. The use of artificial intelligence combined with metasurfaces to innovate DoA detection is discussed. Finally, challenges and opportunities for advancing metasurfaces and artificial intelligence in this frontier field are discussed.https://doi.org/10.1515/nanoph-2024-0423direction of arrival estimationmusic and espritclassical high-resolution subspace methodscompressed sensing (cs) algorithmsmachine learning |
| spellingShingle | Huang Min Li Ruichen Zou Yijun Zheng Bin Qian Chao Jin Hui Chen Hongsheng A comprehensive review of metasurface-assisted direction-of-arrival estimation Nanophotonics direction of arrival estimation music and esprit classical high-resolution subspace methods compressed sensing (cs) algorithms machine learning |
| title | A comprehensive review of metasurface-assisted direction-of-arrival estimation |
| title_full | A comprehensive review of metasurface-assisted direction-of-arrival estimation |
| title_fullStr | A comprehensive review of metasurface-assisted direction-of-arrival estimation |
| title_full_unstemmed | A comprehensive review of metasurface-assisted direction-of-arrival estimation |
| title_short | A comprehensive review of metasurface-assisted direction-of-arrival estimation |
| title_sort | comprehensive review of metasurface assisted direction of arrival estimation |
| topic | direction of arrival estimation music and esprit classical high-resolution subspace methods compressed sensing (cs) algorithms machine learning |
| url | https://doi.org/10.1515/nanoph-2024-0423 |
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