非合作无线网络目标的干扰效果评估方法  

Method for Evaluating Jamming Effectiveness on Noncooperative Wireless Network Targets

作　　者：刘皖宁 丁国如 徐以涛 谷江春 王海超 LIU Wanning;DING Guoru;XU Yitao;GU Jiangchun;WANG Haichao(College of Communications Engineering,Army Engineering University of PLA,Nanjing 210007,China)

机构地区：[1]陆军工程大学通信工程学院,江苏南京210007

出　　处：《陆军工程大学学报》2025年第1期27-34,共8页Journal of Army Engineering University of PLA

基　　金：国家自然科学基金项目(62171462,62231027,62425118);江苏省重点研发计划(BE2023022,BE2023022-4)。

摘　　要：在复杂电磁环境下,干扰效果评估面临着信息非对称、通信行为多变以及信道条件动态变化等现实问题。同时,在人工智能和机器学习理论技术赋能非合作无线网络目标条件下,精准、稳健的干扰效果评估仍是制约干扰效能提升的主要挑战。针对以上问题,提出一种高效的认知干扰方法,基于确定性信道建模技术,利用双层遗传算法虚拟估计出不同干扰决策下非合作无线网络目标的性能上界,并以此作为不同干扰决策的干扰效果评估依据,实现最优/次优干扰决策选取。仿真结果和理论分析验证了所提方法的有效性和鲁棒性,为提升干扰效果评估、实现电磁频谱域认知对抗提供参考。The evaluation of jamming effectiveness confronts some practical challenges such as information asymmetry,variable communication behaviors,and dynamic channel conditions in complex electromagnetic environments.Meanwhile,under the condition of empowering non-cooperative wireless network targets with artificial intelligence and machine learning theories and technologies,to achieve a precise and robust evaluation of jamming effectiveness remains a major bottleneck constraining the jamming effectiveness.To address the issue mentioned above,an efficient cognitive jamming method is proposed.Based on the deterministic channel modeling technology,this method employs a two-layer genetic algorithm to virtually estimate the performance upper bound of non-cooperative wireless network targets under different jamming decision scenarios.This estimated upper bound serves as the basis for evaluating the jamming effectiveness of different jamming decisions,enabling the selection of optimal or suboptimal jamming strategies.Simulation results and theoretical analyses validate the effectiveness and robustness of the proposed method,providing a reference for enhancing the evaluation of jamming effectiveness and achieving cognitive confrontation in the electromagnetic spectrum domain.

关 键 词：干扰效果评估 认知干扰 确定性信道建模 遗传算法 

分 类 号：TN975[电子电信—信号与信息处理]