Research on Jamming Resource Allocation Based on Improved Pelican Optimization Algorithm

Junwei Zhao, Yi-an Liu, Hailing Song
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Abstract

To get the best jamming effect of limited jamming resources in electronic warfare, this paper focuses on the problem of jamming resource allocation. An objective function of jamming resource allocation is built, which is based on the calculation by the probability formula of jammer pressing, and an improved Pelican Optimization Algorithm is designed. By simulating the pelican's natural behavior of approaching prey and searching the nearby area in the process of hunting, the algorithm creates the corresponding mathematical model, and obtains the global optimal allocation strategy by solving the model. The simulated results indicate that the probability of obtaining the optimal solution and optimal allocation strategy of the algorithm are better than the traditional Simulated Annealing Algorithm, whether it is the situation of “single jammer to single radar” or “multi-jammer to single-radar”.
基于改进Pelican优化算法的干扰资源分配研究
为了使有限的干扰资源在电子战中获得最佳的干扰效果,本文重点研究了干扰资源的分配问题。在按干扰器按下概率公式计算的基础上,建立了干扰资源分配的目标函数,并设计了改进的鹈鹕优化算法。该算法通过模拟鹈鹕捕食过程中接近猎物和搜索附近区域的自然行为,建立相应的数学模型,通过求解模型得到全局最优分配策略。仿真结果表明,无论在“单干扰机对单雷达”还是“多干扰机对单雷达”情况下,该算法获得最优解的概率和最优分配策略都优于传统的模拟退火算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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