TY  - EJOU
AU  - Chen, Zhimin  
AU  - Qu, Yuanxin  
AU  - Zhang, Tongshuang  
AU  - Bai, Xiaoshu  
AU  - Tao, Xiaohong 
AU  - Liu, Yong  

TI  - Hybrid Adaptive Particle Swarm Optimized Particle Filter for Integrated Navigation System
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2015
VL  - 106
IS  - 6
SN  - 1526-1506

AB  - Particle swarm optimization algorithm based particle filter is trapping in local optimum easily, it is not able to satisfy the requirement of modern integrated navigation system. In order to solve the problem, A novel particle filter algorithm based on hybrid adaptive particle swarm optimization(HPSO-PF) is presented in this paper. This improved particle filter will conduce to finding the ideal solution domain by making use of the global convergence of artificial fish swarm and enhancement of fusion precision by guiding particles to move toward the high likelihood area through particle swarm optimization. Finally different models are used for simulation and the experiment results show that this new particle filter improves the precision of integrated navigation system.
KW  - dynamic
KW  -  particle filter
KW  -  integrated navigation
KW  -  hybrid adaptive

DO  - 10.3970/cmes.2015.106.379