| 基于BB-BC的粒子滤波算法研究 |
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| 引用本文： | 刘钊.基于BB-BC的粒子滤波算法研究[J].科学技术与工程,2012,12(23):5898-5902. |
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| 作者姓名： | 刘钊 |
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| 作者单位： | 空军工程大学信息与导航学院 |
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| 摘 要： | 粒子滤波是目前解决非线性、非高斯系统问题的主流方法,为克服粒子退化对粒子滤波性能的影响,提出了一种基于大爆炸-大坍塌(BB-BC)优化算法的智能化粒子滤波算法。将大爆炸-大坍塌优化算法应用于重采样,以迭代机制设计解决粒子退化问题。仿真结果表明,该算法与标准粒子滤波算法相比计算简单,滤波效果优于标准粒子滤波算法。
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| 关 键 词： | 大爆炸-大坍塌 重采样 粒子滤波 |
| 收稿时间： | 2012/4/26 0:00:00 |
| 修稿时间： | 2012/5/10 0:00:00 |
Particle filter based on BB-BC algorithm |
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| liuzhao.Particle filter based on BB-BC algorithm[J].Science Technology and Engineering,2012,12(23):5898-5902. |
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| Authors: | liuzhao |
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| Institution: | (Institute of Information and Navigation,Airforce Engineering University,Xi’an 710077,P.R.China) |
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| Abstract: | Particle filter is the major method of solving the issue of the nonlinear and non-Gaussian system.To overcome the impact of particle degeneration to the performance of particle filter,an intelligent particle filter algorithm based on the Big Bang-Big Crunch(BB-BC) optimization algorithm is proposed.By applying it into resampling,the particle degeneration problem can be resolved by iterative mechanism.The simulation result indicates that compared with standard particle filter,the BB-BC particle filter algorithm is simpler and has better filter effects. |
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| Keywords: | Big Bang-Big Crunch Resampling Particle filter |
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