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New clone particle swarm optimization-based particle filter algorithm and its application |
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PP: 171-177 |
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Author(s) |
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Yuming Bo,
Zhimin Chen,
Jie Zhang,
Jianliang Zhu,
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Abstract |
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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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