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Overview of Improved Particle Filter Based on Integrated Navigation System
Science Discovery
Volume 5, Issue 5, October 2017, Pages: 369-374
Received: Sep. 12, 2017; Published: Sep. 14, 2017
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Xiao Jing Du, School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China
Cong Liu, School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China
Shao Yong Hu, School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China
Huai Jian Li, School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China
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Particle filter has some advantages in dealing with the problems of the state equation nonlinear and noise distribution non Gauss in Integrated Navigation System. The summary for improved method of particle filter would be beneficial to study the application of particle filter in integrated navigation field deeply and overcome the problems of particle degeneracy and sample impoverishment with particle filtering. The basic algorithm and theory of particle filter and the reasons of particle degeneracy are expounded and the development of particle filter at home and abroad is given, then a summary for different methods to improve the performance of particle filter (including increasing particle number, resampling technology, selecting the best importance density function, and improving particle filter based on Neural Network). Several improved methods can effectively improve the filtering performance and improve positioning accuracy, in the actual situation, according to different conditions of use to choose the appropriate method of improvement.
Particle Filter Particle Degeneracy, Sample Poverty, Improved Methods
To cite this article
Xiao Jing Du, Cong Liu, Shao Yong Hu, Huai Jian Li, Overview of Improved Particle Filter Based on Integrated Navigation System, Science Discovery. Vol. 5, No. 5, 2017, pp. 369-374. doi: 10.11648/
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