为解决在雷达组网中高斯混合概率假设密度滤波(Gaussian mixture probability hypothesis density filter,GMPHDF)难以跟踪非线性系统目标的问题,构建一种高斯无迹混合概率假设密度滤波(Gaussian unscented mixture probability hypothe...为解决在雷达组网中高斯混合概率假设密度滤波(Gaussian mixture probability hypothesis density filter,GMPHDF)难以跟踪非线性系统目标的问题,构建一种高斯无迹混合概率假设密度滤波(Gaussian unscented mixture probability hypothesis density filter,GUMPHDF)方法。将新生、衍生和继续存在目标的高斯元素分别用无迹滤波(unscented filter,UF)进行预测与更新,得到各目标的高斯无迹混合元素,再进入裁剪合并与状态提取程序。仿真结果表明:将该方法应用于炮兵雷达组网跟踪强杂波环境下,能跟踪到探测区域所有目标,精度较高,符合工程实践要求。展开更多
Homing trajectory planning is a core task of autonomous homing of parafoil system.This work analyzes and establishes a simplified kinematic mathematical model,and regards the homing trajectory planning problem as a ki...Homing trajectory planning is a core task of autonomous homing of parafoil system.This work analyzes and establishes a simplified kinematic mathematical model,and regards the homing trajectory planning problem as a kind of multi-objective optimization problem.Being different from traditional ways of transforming the multi-objective optimization into a single objective optimization by weighting factors,this work applies an improved non-dominated sorting genetic algorithm Ⅱ(NSGA Ⅱ) to solve it directly by means of optimizing multi-objective functions simultaneously.In the improved NSGA Ⅱ,the chaos initialization and a crowding distance based population trimming method were introduced to overcome the prematurity of population,the penalty function was used in handling constraints,and the optimal solution was selected according to the method of fuzzy set theory.Simulation results of three different schemes designed according to various practical engineering requirements show that the improved NSGA Ⅱ can effectively obtain the Pareto optimal solution set under different weighting with outstanding convergence and stability,and provide a new train of thoughts to design homing trajectory of parafoil system.展开更多
文摘为解决在雷达组网中高斯混合概率假设密度滤波(Gaussian mixture probability hypothesis density filter,GMPHDF)难以跟踪非线性系统目标的问题,构建一种高斯无迹混合概率假设密度滤波(Gaussian unscented mixture probability hypothesis density filter,GUMPHDF)方法。将新生、衍生和继续存在目标的高斯元素分别用无迹滤波(unscented filter,UF)进行预测与更新,得到各目标的高斯无迹混合元素,再进入裁剪合并与状态提取程序。仿真结果表明:将该方法应用于炮兵雷达组网跟踪强杂波环境下,能跟踪到探测区域所有目标,精度较高,符合工程实践要求。
基金Project(61273138)supported by the National Natural Science Foundation of ChinaProject(14JCZDJC39300)supported by the Key Fund of Tianjin,China
文摘Homing trajectory planning is a core task of autonomous homing of parafoil system.This work analyzes and establishes a simplified kinematic mathematical model,and regards the homing trajectory planning problem as a kind of multi-objective optimization problem.Being different from traditional ways of transforming the multi-objective optimization into a single objective optimization by weighting factors,this work applies an improved non-dominated sorting genetic algorithm Ⅱ(NSGA Ⅱ) to solve it directly by means of optimizing multi-objective functions simultaneously.In the improved NSGA Ⅱ,the chaos initialization and a crowding distance based population trimming method were introduced to overcome the prematurity of population,the penalty function was used in handling constraints,and the optimal solution was selected according to the method of fuzzy set theory.Simulation results of three different schemes designed according to various practical engineering requirements show that the improved NSGA Ⅱ can effectively obtain the Pareto optimal solution set under different weighting with outstanding convergence and stability,and provide a new train of thoughts to design homing trajectory of parafoil system.
