| 基于变权平均似然函数的粒子滤波改进算法 |
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| 引用本文： | 张诗桂,朱立新.基于变权平均似然函数的粒子滤波改进算法[J].探测与控制学报,2011,33(1):46-50,55. |
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| 作者姓名： | 张诗桂 朱立新 |
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| 作者单位： | 解放军电子工程学院,安徽合肥,230037 |
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| 摘 要： | 在纯方位跟踪中,针对随机观测噪声对粒子权值准确性的影响,提出了一种基于变权平均似然函数的粒子滤波改进算法,在每个粒子权值更新过程中,采用多次观测值计算粒子似然函数并对其变权平均,替代由单一观测值更新粒子权值的方法,减小随机观测噪声对权值的影响。最后,通过实验仿真表明:新算法在纯方位跟踪中滤波精度优于传统粒子滤波算法。
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| 关 键 词： | 粒子滤波 似然函数 变权平均 纯方位跟踪 |
Improved Particle Filter Algorithm Based on Averaging Likelihood Functions with Diverse Proportion |
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| ZHANG Shigui,ZHU Lixin.Improved Particle Filter Algorithm Based on Averaging Likelihood Functions with Diverse Proportion[J].Journal of Detection & Control,2011,33(1):46-50,55. |
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| Authors: | ZHANG Shigui ZHU Lixin |
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| Affiliation: | ZHANG Shigui,ZHU Lixin(Electronic Engineering Institute of PLA,Hefei 230037,China) |
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| Abstract: | In the bearings-only tracking,the stochastic observation noise influenced the accuracy of particle weights.To solve the problem,an improved particle filter algorithm based on averaging likelihood functions with diverse proportion was proposed.At the step of particle weights updating,the new method used multi-observations instead of single observation to compute the likelihood functions of each particle,then averaged them with diverse proportion.The method reduced the influence of the stochastic observation ... |
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| Keywords: | particle filter likelihood function averaged with diverse proportion bearings-only tracking |
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