基于嵌入式粒子群算法的目标航迹模拟方法  

Simulation Method of Target Track Based on Embedded Particle Swarm Optimization Algorithm

作　　者：马艳艳 林强[1] 牛闯 杨海达 MA Yanyan;LIN Qiang;NIU Chuang;YANG Haida(Air Force Early Warning Academy,Wuhan 430019,China;PLA 93502 Troops,Hohhot 010051,China)

机构地区：[1]空军预警学院,湖北武汉430019 [2]中国人民解放军93502部队,内蒙古呼和浩特010051

出　　处：《现代防御技术》2024年第5期51-60,共10页Modern Defence Technology

摘　　要：针对雷达运动目标轨迹模拟逼真度和普遍适用性问题,提出一种基于嵌入式粒子群算法的目标航迹模拟方法。分析了无人机模拟运动目标航迹的基本原理,论述了无人机和模拟目标之间的运动模型和耦合关系,确定了耦合因子和控制量。分析了目标运动轨迹模拟的约束条件,并结合无人机性能和能耗等因素给出了目标优化适应度函数,建立了目标航迹模拟的最优控制模型。为提高模型解算的精确度和实用性,将粒子群算法进行改进,并嵌入到模型求解中,实现了对目标航迹的有效模拟。仿真结果表明:该方法对实现运动目标轨迹模拟具有广泛适用。A target track simulation method based on embedded PSO is proposed to address the fidelity and universal applicability issues of radar-moving target track simulation.Firstly,the principle of simulation moving target track by UAV is analyzed,the motion model and coupling relationship between the UAV and the simulated target is discussed and the control quantity and control equation are determined.Then,based on constraint conditions of target motion track simulation,the objective optimization fitness function is proposed by UAV performance and energy consumption,and the optimal control model of target track simulation is established.Finally,in order to improve the accuracy and practicality of the model solution,the particle swarm optimization algorithm is improved and embedded in the model solution,achieving effective simulation of different motion tracks of the target.The simulation results indicate that this method can have wide applicability for simulating the track of moving targets.

关 键 词：雷达目标 运动轨迹 模拟仿真 粒子群算法 无人机 

分 类 号：TN97[电子电信—信号与信息处理] TJ8[电子电信—信息与通信工程]