Chen, Z;
Tang, J;
Huang, L;
He, ZQ;
Wong, KK;
Wang, J;
(2023)
Robust Target Positioning for Reconfigurable Intelligent Surface Assisted MIMO Radar Systems.
IEEE Transactions on Vehicular Technology
10.1109/TVT.2023.3284454.
(In press).
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Abstract
The direction of arrival (DOA) based multiple-input multiple-output (MIMO) radar technique has been widely utilized for ubiquitous positioning due to its advantage of simple implementability. On the other hand, reconfigurable intelligent surface (RIS) has received considerable attention, which can be deployed on the walls and objects to strengthen the positioning performance. However, RIS is usually not equipped with a perception module, which results in the tremendous challenge for RIS-assisted positioning. To tackle this challenge, this paper propose the fundamental problem of DOA-based target positioning in RIS-assisted MIMO radar system. Unlike conventional DOA estimation systems, the beneficial role of RIS is investigated in MIMO radar system, where a nonconvex <inline-formula><tex-math notation="LaTeX">$\ell _{p}$</tex-math></inline-formula> promoting function is exploited to estimate DOA task. By adjusting the reflecting elements of the RIS, the proximal projection iterative strategy is developed to obtain the feasible solution. Both theoretical analysis and simulation results illustrate that the proposed scheme can achieve remarkable positioning performance and shed light on the benefits offered by the adoption of the RIS in terms of positioning performance.
| Type: | Article |
|---|---|
| Title: | Robust Target Positioning for Reconfigurable Intelligent Surface Assisted MIMO Radar Systems |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TVT.2023.3284454 |
| Publisher version: | https://doi.org/10.1109/TVT.2023.3284454 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10173153 |
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