Improved Adaptive Particle Filter for Integrated Navigation System

被引:0
作者
Tian, Mengchu [2 ]
Bo, Yuming [2 ]
Chen, Zhimin [1 ]
Wu, Panlong [2 ]
Zhao, Gaopeng [2 ]
机构
[1] China Satellite Maritime Tracking & Controlling D, Jiangyin 214431, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
来源
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2015年 / 108卷 / 05期
基金
中国国家自然科学基金;
关键词
Adaptive; Particle filter; Integrated navigation; Chaos; Avoid factor; MODEL;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Particle filter based on particle swarm optimization algorithm is not precise enough and easily trapping in local optimum, it is difficult to satisfy the requirement of advanced integrated navigation system. To solve these problems, an improved adaptive particle filter based on chaos particle swarm was proposed and used in GPS/INS integrated navigation system. This algorithm introduced chaos sequence to update the weight and threshold, which could improve the quality of samples and reduce the local optimization and enhance the global searching ability. In addition, the avoid factor was set which made the particles be away from low likelihood area. Finally, simulation results indicate that this algorithm improved the accuracy and robustness of GPS/INS integrated navigation system.
引用
收藏
页码:285 / 301
页数:17
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