Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
https://bura.brunel.ac.uk/handle/2438/33951| Title: | AI-Driven Sparse MIMO Array Optimization and Deep Unfolding for Near-Field 3D Imaging |
| Authors: | He, Yuke Hou, Shasha Xu, Kuiwen Qi, Xiaokang Li, Xiaodan Shen, Jianhua Hu, Shaoqing Li, Wenjun |
| Keywords: | .;.;.;.;.;. |
| Issue Date: | 2026 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | He, Y. et al. (2026) 'AI-Driven Sparse MIMO Array Optimization and Deep Unfolding for Near-Field 3D Imaging', IEEE Transactions on Microwave Theory and Techniques, 0(accepted, in press) |
| Abstract: | ... |
| URI: | https://bura.brunel.ac.uk/handle/2438/33951 |
| ISSN: | 0018-9480 |
| Appears in Collections: | Department of Electronic and Electrical Engineering Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until publication. Copyright ‘For the purpose of open access, the author has applied a ‘Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.’ | 2.18 MB | Adobe PDF | View/Open |
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