Wu Wenpeng, Wei Zhenhua, You Haiyang, Li Xiaoqing, Zhan Jianwei, Zhang Zhaoguang
Rocket Force University of Engineering, Xi'an, 710025, P.R. China.
Sci Rep. 2025 Aug 4;15(1):28436. doi: 10.1038/s41598-025-14417-x.
In recent years, the rapid development of air-ground communication networks has posed challenges to traditional interference methods. However, existing research rarely involves joint air-ground distributed communication interference, and there is a lack of the ability to schedule jammers with limited energy, a limited quantity, and different types. Based on this, this paper proposes the interference link margin in the mathematical model and normalizes and quantifies the optimization objectives. Strategies such as cycle and initial quantity selection, elastic initialization, double tabu power scheduling, and jammer conversion are designed to improve the scheduling ability of the Elastic Parallel Random Search Algorithm (EPRSA) in terms of system operation duration and interference cost. The experimental results show that EPRSA can increase the success rate of searching for interference schemes by 15.4%, reduce the number of jammers by 26.4%, enhance the type scheduling ability significantly, decrease the cost by 31%, and increase the system operation duration by 45.3%.
近年来，空对地通信网络的快速发展给传统干扰方法带来了挑战。然而，现有研究很少涉及空对地分布式通信联合干扰，并且缺乏对能量有限、数量有限且类型不同的干扰器进行调度的能力。基于此，本文在数学模型中提出干扰链路余量，并对优化目标进行归一化和量化。设计了诸如周期和初始数量选择、弹性初始化、双禁忌功率调度以及干扰器转换等策略，以提高弹性并行随机搜索算法（EPRSA）在系统运行时长和干扰成本方面的调度能力。实验结果表明，EPRSA可以将干扰方案搜索成功率提高15.4%，减少干扰器数量26.4%，显著增强类型调度能力，降低成本31%，并将系统运行时长增加45.3%。
