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Applied Mathematics & Information Sciences
An International Journal


Volumes > Volume 7 > No. 1


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

PP: 171-177
Yuming Bo, Zhimin Chen, Jie Zhang, Jianliang Zhu,
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.



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