| 一种基于差分演化的粒子滤波算法 |
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| 引用本文： | 李红伟,王俊,王海涛.一种基于差分演化的粒子滤波算法[J].电子与信息学报,2011,33(7):1639-1643. |
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| 作者姓名： | 李红伟 王俊 王海涛 |
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| 作者单位： | 西安电子科技大学雷达信号处理国家重点实验室 西安710071 |
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| 基金项目： | 国防重点实验室基金(9140C010507100C01); 国家863计划创新基金(2010AAJ144)资助课题 |
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| 摘 要： | 针对粒子滤波(Particle Filter, PF)存在的粒子退化和贫化问题，该文提出一种基于差分演化(Differential Evolution, DE)的PF算法。首先，为了充分利用最新的观测信息，采用无迹卡尔曼滤波(Unscented Kalman Filter, UKF)来产生重要性分布，对重要性分布产生的采样粒子不再做传统重采样操作，而是直接把采样粒子当作DE中的种群样本，粒子权重作为样本的适应函数，对粒子做差分变异、交叉、选择等迭代优化，最后得到最优的粒子点集。试验结果表明，该算法有效缓解了传统PF算法中的粒子退化和贫化，提高了粒子的利用率，具有较好的估计精度。
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| 关 键 词： | 目标跟踪 粒子滤波 差分演化 无迹卡尔曼滤波 |
| 收稿时间： | 2010-11-05 |
A New Particle Filter Based on Differential Evolution Method |
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| Li Hong-wei,Wang Jun,Wang Hai-tao.A New Particle Filter Based on Differential Evolution Method[J].Journal of Electronics & Information Technology,2011,33(7):1639-1643. |
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| Authors: | Li Hong-wei Wang Jun Wang Hai-tao |
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| Affiliation: | Li Hong-wei Wang Jun Wang Hai-tao(National Lab of Radar Signal Processing,Xidian University,Xi'an 710071,China) |
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| Abstract: | The main problems of the Particle Filter(PF) are the sample degeneracy and impoverishment phenomenon.To deal with the problems,a new PF based on Differential Evolution(DE) is proposed.Firstly,the Importance Distribution(ID) which contains the newest measurements is produced with the Unscented Kalman Filter(UKF).Secondly,the particles sampling from the ID are no longer resampled by the conventional algorithm,however,they are regarded as the sample of the current population and their weights as the fitness fu... |
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| Keywords: | Target tracking Particle Filter(PF) Differential Evolution(DE) Unscented Kalman Filter(UKF) |
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