Stacked Intelligent Metasurfaces Assisted Integrated-Sensing-and-Resistance Anti Jamming
The existing spatial domain anti-jamming research relies on the prior information of the jamming channel to support the anti-jamming design, which is difficult to deal with the malicious jamming with strong concealment. The study proposes a stacked intelligent metasurfaces (SIM) assisted integrated-sensing-and-resistance (ISAR) anti-jamming scheme. Precisely, to obtain the jamming channel information in real time to assist the receiver in filtering out the jamming, an ISAR receiving system model is established, where the SIM consists of two layers of transmissive RIS (TRIS) is deployed around the receiving antenna, functioning as jamming sensing TRIS and anti jamming TRIS in cascade. Then a TRIS based jamming sensing method is proposed to accurately estimate the channel information. And a TRIS anti jamming phase shift optimization algorithm is proposed to optimize the phase shift according to the acquired jamming information, so as to effectively filter out the jamming signal. Simulation results show that the anti-jamming performance of the proposed scheme can approximate the scheme with perfect jamming channel state information under the premise of completely unknown prior information of the jamming channel.
Authors
- Liang Jin (ORCID: https://orcid.org/0000-0001-6464-6263)
- You Zhou (ORCID: https://orcid.org/0000-0001-5319-0934)
- Kaizhi Huang (ORCID: https://orcid.org/0000-0002-7084-3826)
- Xiaoming Xu (ORCID: https://orcid.org/0009-0009-4670-8411)
- Pei Chen (ORCID: https://orcid.org/0009-0003-4652-9030)
- Yuze Guo
Institutions
- PLA Information Engineering University (CN)
- Switch (CH)
Publication Details
- Journal
- IEEE Communications Letters
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/lcomm.2024.3520510
- Citations
- 6
- Primary Topic
- Indoor and Outdoor Localization Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.25
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China