当前位置: X-MOL 学术IEEE Signal Process. Lett. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Radar Target Detection Aided by Reconfigurable Intelligent Surfaces
IEEE Signal Processing Letters ( IF 3.9 ) Pub Date : 2021-06-14 , DOI: 10.1109/lsp.2021.3089085
Stefano Buzzi , Emanuele Grossi , Marco Lops , Luca Venturino

In this work, we consider the target detection problem in a sensing architecture where the radar is aided by a reconfigurable intelligent surface (RIS), that can be modeled as an array of sub-wavelength small reflective elements capable of imposing a tunable phase shift to the impinging waves and, ultimately, of providing the radar with an additional echo of the target. A theoretical analysis is carried out for closely- and widely-spaced (with respect to the target) radar and RIS and for different beampattern configurations, and some examples are provided to show that large gains can be achieved by the considered detection architecture.

中文翻译:

可重构智能表面辅助雷达目标检测

在这项工作中,我们考虑了传感架构中的目标检测问题,其中雷达由可重构智能表面 (RIS) 辅助,可将其建模为亚波长小反射元件阵列,能够施加可调谐相移到撞击波,并最终为雷达提供目标的额外回波。对近距和宽距(相对于目标)雷达和 RIS 以及不同波束模式配置进行了理论分析,并提供了一些示例以表明所考虑的检测架构可以实现大增益。
更新日期:2021-07-16
down
wechat
bug