| 权值优化组合粒子滤波算法研究 |
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| 引用本文： | 谌剑,严平,张静远.权值优化组合粒子滤波算法研究[J].计算机工程与应用,2009,45(24):33-35. |
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| 作者姓名： | 谌剑 严平 张静远 |
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| 作者单位： | 海军工程大学兵器工程系,武汉,430033 |
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| 摘 要： | 重采样粒子滤波算法（Sampling Importance Resampling,SIR）能够克服粒子群衰退现象,但同时减少了粒子的多样性,导致滤波性能下降甚至滤波发散。提出了一种基于权值优化组合的粒子滤波算法（WeightOptimal Combination ParticleFilter,WOCPF）,通过在重采样前对粒子权值和粒子群权值的均值进行优化组合,减少重采样中抛弃的粒子数,保持了粒子的多样性,提高了算法的精度。仿真结果证明,粒子数相同情况下,WOCPF算法性能优于SIR算法。
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| 关 键 词： | 粒子滤波 重采样 权值 优化组合 粒子多样性 |
| 收稿时间： | 2008-5-8 |
| 修稿时间： | 2008-8-11
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Research on weight optimal combination particle filter algorithm |
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| CHEN Jian,YAN Ping,ZHANG Jing-yuan.Research on weight optimal combination particle filter algorithm[J].Computer Engineering and Applications,2009,45(24):33-35. |
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| Authors: | CHEN Jian YAN Ping ZHANG Jing-yuan |
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| Affiliation: | CHEN Jian,YAN Ping,ZHANG Jing-yu,epartment of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China |
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| Abstract: | Sampling Importance Resampling（SIR） arithmetic can reduce the degenerate phenomenon of particles.But it leads to the loss of diversity in particles.The loss makes filter’s performance worse，even makes filtering diffuse.A Weight Optimal Combination Particle Filter（WOCPF） arithmetic is developed based on linear combination of particle weights and the particle swarm average weight，which reduces the amount of abandoned particles，overcomes the loss of diversity and improves its precision.Simulation results show that on the condition of the same particle amount，WOCPF arithmetic is better than SIR arithmetic. |
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| Keywords: | particle filter resampling weight optimal combination diversity among the particles
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