Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (12): 60-65.DOI: 10.3778/j.issn.1002-8331.1906-0026

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Research on Optimized Particle Filtering by Improved Cuckoo Algorithm

WANG Xiaohua, NIE Tengteng   

  1. School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China
  • Online:2020-06-15 Published:2020-06-09



  1. 西安工程大学 电子信息学院,西安 710048


For the problem that the cuckoo algorithm is easily limited to the local optimum, the ability of the cuckoo algorithm to local optimization and global optimization is balanced by improving the search step value [α] of the cuckoo algorithm and the probability [pα] of the species of an exotic bird in this paper. Combined with particle filtering the improved cuckoo algorithm replaces the resampling process of particle filtering to solve the problem of particle depletion and low estimation accuracy. The experimental results show that the particle diversity of the improved cuckoo optimized particle filter algorithm is improved, which ensures the estimation accuracy.

Key words: particle filtering, particle depletion, cuckoo algorithm, resampling



关键词: 粒子滤波, 粒子贫化, 布谷鸟算法, 重采样