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基于改进SSA的光雷目标模拟器运动规划方法

An Improved SSA Based Motion Planning Method for Electro-optical Radar Target Simulator
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摘要 针对光电雷达性能检测任务中的航迹模拟问题,提出一种改进麻雀搜索算法(SSA),对光雷目标模拟器进行运动规划。根据光电雷达、实物模拟目标和虚拟飞行目标的空间位置关系,建立了目标模拟数学模型和求解模型,将机器人运动规划问题转化为最优值求解问题。在SSA中引入佳点集、黄金正弦和自适应t分布变异策略,提高模型解算的遍历性、收敛性和跳出局部最优的能力。仿真结果表明,实物模拟目标轨迹和虚拟飞行目标航迹具有相似的运动特征,证实改进SSA能够实现对模拟目标的轨迹规划,为开展光电雷达性能检测工作提供了一种新的方法。 In order to address the issue of trajectory simulation in the electro-optical radar performance detection task,an improved Sparrow Search Algorithm(SSA)is proposed for motion planning of the electro-optical radar target simulator.According to the spatial position relationship between the electro-optical radar,the physical simulated target,and the virtual flight target,the target simulation mathematical model and solution model are established,and the robot motion planning problem is transformed into an optimal value solution problem.The good point set,golden sine,and adaptive t-distribution mutation strategies are introduced in SSA to improve the traversal,convergence,and ability to jump out of local optimum in model solving.The simulation results show that the physical simulated target trajectory and the virtual flight target trajectory have similar motion characteristics,which confirms that the improved SSA can achieve the trajectory planning of the simulated target and provides a new method for carrying out the electro-optical radar performance detection task.
作者 汤皓玥 李姝冬 徐光延 宋崎 TANG Haoyue;LI Shudong;XU Guangyan;SONG Qi(School of Automation,Shenyang Aerospace University,Shenyang 110000,China;Shenyang Aircraft Design&Research Institute,AVIC,Shenyang 110000,China)
出处 《电光与控制》 北大核心 2025年第9期34-40,共7页 Electronics Optics & Control
基金 航空科学基金(20220022054001)。
关键词 光电雷达 麻雀搜索算法 运动规划 目标模拟 electro-optical radar sparrow search algorithm motion planning target simulation
作者简介 汤皓玥(1998-),男,安徽马鞍山人,硕士生;通讯作者:宋崎(1978-),女,辽宁沈阳人,博士,教授,硕导。
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