A New Intelligent Reflecting Surface-Aided Electromagnetic Stealth Strategy
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866914719611224064 |
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| author | Xiong, Xue Zheng, Beixiong Swindlehurst, A. Lee Tang, Jie Wu, Wen |
| author_facet | Xiong, Xue Zheng, Beixiong Swindlehurst, A. Lee Tang, Jie Wu, Wen |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_12352 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A New Intelligent Reflecting Surface-Aided Electromagnetic Stealth Strategy Xiong, Xue Zheng, Beixiong Swindlehurst, A. Lee Tang, Jie Wu, Wen Signal Processing Information Theory 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. |
| title | A New Intelligent Reflecting Surface-Aided Electromagnetic Stealth Strategy |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2403.12352 |