Yao, Yu, Shu, Feng, Wu, Linlong, Cheng, Xu, Li, Xuan, Wang, Jiangzhou (2024) Anti-Jamming Strategy for IRS-Aided JRC System in Vehicular Networks. In: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). . pp. 254-258. IEEE ISBN 979-8-3503-7452-0. E-ISBN 979-8-3503-7451-3. (doi:10.1109/icasspw62465.2024.10626260) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:107004)
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Official URL: https://doi.org/10.1109/icasspw62465.2024.10626260 |
Abstract
This paper focuses on the deployment of an intelligent reflecting surface (IRS) to improve anti-jamming joint radar communication (JRC) performance and eliminate jamming disturbance by adaptively controlling the reflection coefficients of the IRS. To improve the JRC performance against malicious attackers, an optimization problem for designing transmit beamforming at the JRC-based road side unit (RSU) and reflection beamforming at the IRS is established while both ensuring quality of service (QoS) requirement of multiple vehicles and target detection performance of RSU. Since the jamming activity is uncertain, an efficient multi-objective twin delayed deep deterministic policy gradient (TD3)-based method is developed to realize the optimized anti-jamming strategy, where the proposed technique is able to rapidly attain the optimized solution. Numerical simulation exhibits that our anti-jamming TD3 model-based method enhances both the QoS performance of vehicular communications and radar detection capability compared with the existing methods.
Item Type: | Conference or workshop item (Proceeding) |
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DOI/Identification number: | 10.1109/icasspw62465.2024.10626260 |
Additional information: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Uncontrolled keywords: | Array signal processing, Road side unit, Radar, Quality of service, Speech enhancement, Reflection, Reflection coefficient |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Funders: | National Natural Science Foundation of China (https://ror.org/01h0zpd94) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 28 Aug 2024 14:39 UTC |
Last Modified: | 05 Nov 2024 13:12 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/107004 (The current URI for this page, for reference purposes) |
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