Enhancing wireless sensing via a target-mounted intelligent reflecting surface

被引：10
|
作者：
Shao, Xiaodan [1 ]
Zhang, Rui [1 ,2 ]
机构：
[1] Chinese Univ Hong Kong, Shenzhen Res Inst Big Data, Sch Sci & Engn, Shenzhen, Peoples R China
[2] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore, Singapore
来源：
NATIONAL SCIENCE REVIEW | 2023年 / 10卷 / 08期
关键词：
This work was supported by the 2022 Stable Research Program of Higher Education of China (20220817144726001) and the Guangdong Provincial Key Laboratory of Big Data Computing;
D O I：
10.1093/nsr/nwad150
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This perspective paper proposes a new wireless sensing approach by mounting Intelligent Reflecting Surface (IRS) on the target, namely target-mounted IRS, to assist in the detection of the target.
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页数：3
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