Research on Intelligent Assignment Method of Radar Jamming Task in Electronic Air Defense Operation

Jun Li, Lei Hu, W. Dai, Bin Fan
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Abstract

Radar jamming task assignment is one of the most important functions of EW simulation system. The result of radar jamming task assignment has great influence on the EW effect. At present, the existing optimization algorithm has difficulty in meeting the demand of simulation for its complexity and long computing time. In view of this problem, a new evolution algorithm, particle swarm optimization, is adopted to solve radar jamming task assignment problem on the basis of studying the problem and the algorithm is compared with the Genetic algorithm. The simulation result shows that the algorithm has faster computing speed and not many parameters to adjust in the same condition compared with the Genetic algorithm, so it is more suitable to solve radar jamming task assignment problem.
电子防空作战中雷达干扰任务智能分配方法研究
雷达干扰任务分配是电子战仿真系统的重要功能之一。雷达干扰任务分配的结果对电子战效果有很大影响。目前,现有的优化算法由于其复杂性和计算时间长,难以满足仿真的需求。针对这一问题,在研究雷达干扰任务分配问题的基础上,提出了一种新的进化算法——粒子群优化算法来解决雷达干扰任务分配问题,并与遗传算法进行了比较。仿真结果表明,与遗传算法相比,该算法具有更快的计算速度和在相同条件下需要调整的参数较少,因此更适合于解决雷达干扰任务分配问题。
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