A New Intelligent Reflecting Surface-Aided Electromagnetic Stealth Strategy

被引：11

作者：

Xiong, Xue ^{[1
,2
]}

Zheng, Beixiong ^{[3
]}

Swindlehurst, A. Lee ^{[3
]}

Tang, Jie ^{[4
]}

Wu, Wen ^{[2
]}

机构：

[1] South China Univ Technol, Sch Future Technol, Guangzhou 511442, Peoples R China

[2] Peng Cheng Lab, Frontier Res Ctr, Shenzhen 518055, Peoples R China

[3] South China Univ Technol, Sch Microelect, Guangzhou 511442, Peoples R China

[4] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2024年 / 13卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Electromagnetic wave absorbing material (EWAM); intelligent reflecting surface (IRS); radar detection; Karush-Kuhn-Tucker (KKT) conditions;

D O I：

10.1109/LWC.2024.3378455

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Electromagnetic wave absorbing material (EWAM) plays an essential role in manufacturing stealth aircraft, which can achieve the electromagnetic stealth (ES) by reducing the strength of the signal reflected back to the radar system. However, the stealth performance is limited by the coating thickness, incident wave angles, and working frequencies. To tackle these limitations, we propose a new intelligent reflecting surface (IRS)-aided ES system where an IRS is deployed at the target to synergize with EWAM for effectively mitigating the echo signal and thus reducing the radar detection probability. Considering the monotonic relationship between the detection probability and the received signal-to-noise-ratio (SNR) at the radar, we formulate an optimization problem that minimizes the SNR under the reflection constraint of each IRS element, and a semi-closed-form solution is derived by using Karush-Kuhn-Tucker (KKT) conditions. Simulation results validate the superiority of the proposed IRS-aided ES system compared to various benchmarks.

引用

页码：1498 / 1502

页数：5

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