Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving array
Abstract Recently, a novel low‐cost coding digital receiving array based on machine learning (ML‐CDRA) has been proposed to reduce the required radio frequency channels in modern wireless systems. The spatial sensitivity of ML‐CDRA is studied which describes the spatial accumulation gain in differen...
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| Format: | Article |
| Language: | English |
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Wiley
2024-09-01
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| Series: | IET Radar, Sonar & Navigation |
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| Online Access: | https://doi.org/10.1049/rsn2.12578 |
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| author | Lei Xiao Yubing Han Shurui Zhang |
| author_facet | Lei Xiao Yubing Han Shurui Zhang |
| author_sort | Lei Xiao |
| collection | DOAJ |
| description | Abstract Recently, a novel low‐cost coding digital receiving array based on machine learning (ML‐CDRA) has been proposed to reduce the required radio frequency channels in modern wireless systems. The spatial sensitivity of ML‐CDRA is studied which describes the spatial accumulation gain in different directions. It is demonstrated that the spatial sensitivity is determined by the encoding network, decoding network, and beamforming criterion. To obtain the desired spatial sensitivity, a spatial sensitivity synthesis method is proposed based on the alternate projection by optimising the encoding network with the constraint of amplitude‐phase quantisation. Simulation results show that the proposed method can significantly improve the spatial sensitivity of ML‐CDRA. Furthermore, in the directions of interest, the spatial accumulation gain of ML‐CDRA can exceed the full‐channel digital receiving array. |
| format | Article |
| id | doaj-art-fd207cb5072343b7b599b75b8d32aa32 |
| institution | Kabale University |
| issn | 1751-8784 1751-8792 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Radar, Sonar & Navigation |
| spelling | doaj-art-fd207cb5072343b7b599b75b8d32aa322024-11-17T12:04:35ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922024-09-011891474148010.1049/rsn2.12578Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving arrayLei Xiao0Yubing Han1Shurui Zhang2School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing ChinaSchool of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing ChinaSchool of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing ChinaAbstract Recently, a novel low‐cost coding digital receiving array based on machine learning (ML‐CDRA) has been proposed to reduce the required radio frequency channels in modern wireless systems. The spatial sensitivity of ML‐CDRA is studied which describes the spatial accumulation gain in different directions. It is demonstrated that the spatial sensitivity is determined by the encoding network, decoding network, and beamforming criterion. To obtain the desired spatial sensitivity, a spatial sensitivity synthesis method is proposed based on the alternate projection by optimising the encoding network with the constraint of amplitude‐phase quantisation. Simulation results show that the proposed method can significantly improve the spatial sensitivity of ML‐CDRA. Furthermore, in the directions of interest, the spatial accumulation gain of ML‐CDRA can exceed the full‐channel digital receiving array.https://doi.org/10.1049/rsn2.12578antenna phased arraysartificial intelligencecost reductionencodingoptimisationreceiving antennas |
| spellingShingle | Lei Xiao Yubing Han Shurui Zhang Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving array IET Radar, Sonar & Navigation antenna phased arrays artificial intelligence cost reduction encoding optimisation receiving antennas |
| title | Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving array |
| title_full | Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving array |
| title_fullStr | Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving array |
| title_full_unstemmed | Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving array |
| title_short | Spatial sensitivity synthesis based on alternate projection for the machine‐learning‐based coding digital receiving array |
| title_sort | spatial sensitivity synthesis based on alternate projection for the machine learning based coding digital receiving array |
| topic | antenna phased arrays artificial intelligence cost reduction encoding optimisation receiving antennas |
| url | https://doi.org/10.1049/rsn2.12578 |
| work_keys_str_mv | AT leixiao spatialsensitivitysynthesisbasedonalternateprojectionforthemachinelearningbasedcodingdigitalreceivingarray AT yubinghan spatialsensitivitysynthesisbasedonalternateprojectionforthemachinelearningbasedcodingdigitalreceivingarray AT shuruizhang spatialsensitivitysynthesisbasedonalternateprojectionforthemachinelearningbasedcodingdigitalreceivingarray |