An Anti-jamming Power Control Algorithm for Wireless Communication System Based on Disturbance Observer

NIU Yingtao; YAO Hang; ZHANG Kai

doi:10.11999/JEIT230870

Volume 45 Issue 11

Nov. 2023

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NIU Yingtao, YAO Hang, ZHANG Kai. An Anti-jamming Power Control Algorithm for Wireless Communication System Based on Disturbance Observer[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4033-4040. doi: 10.11999/JEIT230870

Citation:

NIU Yingtao, YAO Hang, ZHANG Kai. An Anti-jamming Power Control Algorithm for Wireless Communication System Based on Disturbance Observer[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4033-4040. doi: 10.11999/JEIT230870

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An Anti-jamming Power Control Algorithm for Wireless Communication System Based on Disturbance Observer

doi: 10.11999/JEIT230870

1.
Sixty-third Research Institute, National University of Defense Technology, Nanjing 210007, China
2.
School of Electronics & Information Engineering , Nanjing University of Information Science & Technology 210044, China

Funds: The National Natural Science Foundation of China (62371461)

Received Date: 2023-08-08
Rev Recd Date: 2023-11-09

Available Online: 2023-11-14

Publish Date: 2023-11-28

Abstract

Abstract

In the rapidly changing jamming environment, the transmission reliability of wireless communication systems can be significantly impacted. To enhance the transmission reliability of wireless communication systems under such fast-changing jamming conditions, a disturbance observer-based anti-jamming power control algorithm is proposed. The proposed algorithm first models the wireless communication system affected by jamming as a generalized stability control system and utilizes a disturbance observer to generate estimated values of the system state impacted by jamming. Subsequently, by using these estimated values to predict future tracking errors and steady-state control inputs, the algorithm optimizes the system's control strategy to achieve adaptive adjustments in response to the jamming environment. The simulation results demonstrate that, compared to conventional methods, the proposed algorithm can rapidly respond to changes in jamming, significantly improving the system’s transmission reliability under rapidly changing malicious jamming, and enhancing the system’s adaptability to jamming environments.
- Wireless communication,
- Anti-jamming,
- Stability control,
- Model predictive control

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References(15)

References

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