New clone particle swarm optimization-based particle filter algorithm and its application

Authors

Yuming Bo, School of Automation, Nanjing University of Science and Technology, Nanjing, 210094, chinaFollow
Zhimin Chen
Jie Zhang
Jianliang Zhu

Author Country (or Countries)

china

Abstract

A new particle filter algorithm based on new Clone particle swarm optimization（NCPSO-PF） is presented in this paper in order to solve the problem of low precision and complicated calculation of particle filter based on particle swarm optimization algorithm(PSO-PF). The algorithm enables the particles to fit the environment better and then reach the goal of global optimization through orthogonal initialization, clonal selection and local searching of self-learning. Finally different models are used for simulation experiment and the results indicate that this new algorithm improves the operation speed and precision of practical engineering application.

Suggested Reviewers

N/A

Recommended Citation

Bo, Yuming; Chen, Zhimin; Zhang, Jie; and Zhu, Jianliang (2013) "New clone particle swarm optimization-based particle filter algorithm and its application," Applied Mathematics & Information Sciences: Vol. 07: Iss. 1, Article 21.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss1/21