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Alternative TitleUAV Object Tracking for Battlefield Reconnaissance Based on a Chaotic-mutated Bat Algorithm
孙健1,2; 张奇夫1; 惠斌1; 常铮1; 徐忠民1
Source Publication信息与控制
Indexed ByCSCD
Contribution Rank1
Keyword蝙蝠算法 粒子滤波 无人机 目标跟踪


Other Abstract

To solve the particle dilution problem of particle filter during the resampling process,we propose a novel unmanned aerial vehicle ( UAV) object tracking algorithm based on a new heuristic algorithm called chaotic mutated bat algorithm. The bat algorithm ( BA) is inspired by the echolocation mechanism of bats in accordance with pulse rates variance of emission and loudness. It has been proven effective in a wide range of optimization problems. We adopt the BA in UAV object tracking by using particle filter,and a chaotic-mutated improvement is proposed by using chaotic theory and a mutated operator for BA. We were able to resolve the particle dilution problem in the particle filter. To justify the effectiveness of the proposed method,comparative tracking simulations are conducted by employing the standard particle filter. Experimental results show that the proposed method is superior to other methods,which achieves a higher fitness value than standard optimization algorithms.

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Cited Times:2[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author张奇夫
Recommended Citation
GB/T 7714
孙健,张奇夫,惠斌,等. 基于混沌变异蝙蝠算法的无人机战场侦察目标跟踪[J]. 信息与控制,2018,47(2):140-148.
APA 孙健,张奇夫,惠斌,常铮,&徐忠民.(2018).基于混沌变异蝙蝠算法的无人机战场侦察目标跟踪.信息与控制,47(2),140-148.
MLA 孙健,et al."基于混沌变异蝙蝠算法的无人机战场侦察目标跟踪".信息与控制 47.2(2018):140-148.
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