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基于PSO的多观测器轨迹优化研究
引用本文:刘少华,顾晓婕,鲁希团.基于PSO的多观测器轨迹优化研究[J].飞行力学,2011,29(5):87-91.
作者姓名:刘少华  顾晓婕  鲁希团
作者单位:1. 西北工业大学 第365研究所,陕西 西安,710072
2. 西北工业大学 自动化学院,陕西 西安,710129
摘    要:在多观测站目标被动跟踪过程中,多观测器运动轨迹对定位跟踪精度有重要影响.为提高对运动目标的跟踪精度,将目标滤波协方差的迹作为目标优化函数,提出一种基于粒子群算法(Particle Swarm Optimi-zation,PSO)的多观测器轨迹优化方法,并将轨迹优化加入运动目标被动跟踪过程中,实现了观测器自适应运动下的运...

关 键 词:被动定位与跟踪  多观测器轨迹优化  目标优化函数  粒子群优化算法

Trajectory optimization for multi-observers based on PSO algorithm
LIU Shao-hua,GU Xiao-jie,LU Xi-tuan.Trajectory optimization for multi-observers based on PSO algorithm[J].Flight Dynamics,2011,29(5):87-91.
Authors:LIU Shao-hua  GU Xiao-jie  LU Xi-tuan
Institution:LIU Shao-hua1,GU Xiao-jie2,LU Xi-tuan1 (1.Institute 365,Northwestern Polytechnical University,Xi'an 710072,China,2.College of Automation,Xi'an 710129,China)
Abstract:In target passive tracking system,the trajectories of multi-observers have a major impact to tracking accuracy.In order to improve tracking accuracy,a multi-observers trajectory optimization method based on PSO algorithm is proposed with the trace of filter covariance as objective optimization function.The passive tracking of moving target under adaptive motion of observers can be realized by adding the trajectory optimization into the process.Based on basic rules of bearing only passive tracking trajectory...
Keywords:passive localization and tracking  optimization of multi-observers trajectory  objective optimization function  particle swarm optimization algorithm  
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