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Robust relay beamforming against jamming attack
Maleki Sadr, M. A ; Sharif University of Technology
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- Type of Document: Article
- DOI: 10.1109/LCOMM.2017.2773466
- Abstract:
- In this letter, we surpass the jamming effect and also estimate the jamming channel state information by using Kalman filtering (KF) approach. Furthermore, we design a closed-form beamforming weight for maximizing the achievable rate subject to the condition that the total relays power transmission would be below a predefined threshold level, which is formulated as a Quadratically Constrained Quadratic Program (QCQP). Simulation results show efficient performance of the proposed method for different destruction powers of jammer by achieving the Cramer Rao Lower Bound (CRLB). IEEE
- Keywords:
- Channel estimation ; Jamming attack ; Kalman filter ; Mathematical model ; Robustness ; Array processing ; Beamforming ; Channel state information ; Cramer-Rao bounds ; Estimation ; Information filtering ; Jamming ; Kalman filters ; Mathematical models ; Quadratic programming ; Robustness (control systems) ; Signal processing ; Array signal processing ; Collaborative beamforming ; Imperfect CSI ; Jamming attacks ; Relays ; Channel estimation
- Source: IEEE Communications Letters ; 2017 ; 10897798 (ISSN)
- URL: https://ieeexplore.ieee.org/document/8107503