Robust Target Positioning for Reconfigurable Intelligent Surface Assisted MIMO Radar Systems
Robust Target Positioning for Reconfigurable Intelligent Surface Assisted MIMO Radar Systems
复制标题
可重构智能地面辅助MIMO雷达系统的鲁棒目标定位
DOI:
10.1109/tvt.2023.3284454
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发表时间:
2023-11
影响因子:
6.8
通讯作者:
Zhen Chen;Jie Tang;Lei Huang;Zhen-Qing He;Kai‐Kit Wong;Jiangzhou Wang
中科院分区:
文献类型:
--
作者:
Zhen Chen;Jie Tang;Lei Huang;Zhen-Qing He;Kai‐Kit Wong;Jiangzhou Wang
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 article 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 $\ell _{p}$ 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.