Collaborative Electromagnetic Suppression Method for Electromagnetic Security Control of Major Events

SHI Jia; LI Antong; LI Zan; XIAO Shigui; WEI Qing

doi:10.11999/JEIT231318

Volume 46 Issue 5

May 2024

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SHI Jia, LI Antong, LI Zan, XIAO Shigui, WEI Qing. Collaborative Electromagnetic Suppression Method for Electromagnetic Security Control of Major Events[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1908-1919. doi: 10.11999/JEIT231318

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SHI Jia, LI Antong, LI Zan, XIAO Shigui, WEI Qing. Collaborative Electromagnetic Suppression Method for Electromagnetic Security Control of Major Events[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1908-1919. doi: 10.11999/JEIT231318

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Collaborative Electromagnetic Suppression Method for Electromagnetic Security Control of Major Events

doi: 10.11999/JEIT231318

State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China

Funds: The National Key R&D Program of China (SQ2022YFC3300019)

Received Date: 2023-11-30
Rev Recd Date: 2024-04-28

Available Online: 2024-05-07

Publish Date: 2024-05-30

Abstract

Abstract

The electromagnetic security cooperative suppression technology in the security area of major events under the complex urban environment is presented in this paper. Firstly, the complex urban electromagnetic environment is modeled by using the radio wave propagation model suitable for dense urban environment. Secondly, aiming at the problem of efficient electromagnetic suppression and effective avoidance of harmful interference, the potential game method is used to design the cooperative deployment algorithm of electromagnetic suppression equipment. Building upon this, the power optimization method of suppression equipment based on genetic algorithm is proposed to achieve the efficient delivery of interference power under the cooperative work of electromagnetic suppression equipment. The simulation results indicate that the proposed electromagnetic suppression equipment deployment algorithm can obtain outstanding performance similar to the theoretical optimal method (i.e., traversal algorithm), with lower computational complexity. Moreover, under identical interference effectiveness, the proposed power optimization algorithm reduces transmission power by over 50% compared to the traditional interference power allocation methods, thereby achieving precise collaborative control.
- Communication interference,
- Electromagnetic control,
- Major security activities,
- Game theory,
- Genetic algorithm

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References(17)

References

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