基于遗传算法优化的压制干扰协同UCAV航迹规划  

OPPRESSIVE INTERFERENCE COORDINATIVE UCAV PATH PLANNING BASED ON GENETIC ALGORITHM OPTIMIZATION

作　　者：李世晓[1] 朱凡[1] 张健[1] 刘杰[1] 

机构地区：[1]空军工程大学航空航天工程学院,陕西西安710038

出　　处：《计算机应用与软件》2013年第11期251-254,269,共5页Computer Applications and Software

摘　　要：压制干扰和多机协同是常用的行之有效的战术。对电子干扰机协同多无人攻击机(UCAV)突防航迹规划问题进行研究,建立压制干扰下雷达的数学模型,介绍协同作战和时序协同的规划方法。在无干扰条件下航迹规划求解方法的基础上,对决策变量进行改进。提出基于遗传算法的电子干扰机支援下多无人攻击机突防的航迹规划方法。仿真结果表明,电子干扰机可以有效压制敌方的雷达探测距离,使无人机得到更优的航迹,有效地完成作战任务。Oppressive interference and multi-aircrafts coordination are common and effective tactics. After the research work .on path planning of multi-UCAVs （ Unmanned Combat Aerial Vehicle） cooperative electron jamming combat, the mathematical model of the radar under the oppressive interference is established, and the planning methods of coordinating combat and time-list cooperation are introduced. The decision variable is improved on the basis of path planning solution without interference. The path planning method is put forward for muhi-UCAVs penetration with the help of electron jammer based on genetic algorithm. Simulation results show that, the electron jammer can effectively suppress the detection range of enemy＇ s radars, create more optimal path and effectively complete the combat mission.

关 键 词：压制干扰 无人攻击机 航迹规划 协同作战 遗传算法 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]