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| 一种改进的粒子滤波目标跟踪算法 | |
| 引用本文： | 高欢萍,刘美,杜永贵.一种改进的粒子滤波目标跟踪算法[J].茂名学院学报,2010,20(1):37-40,48. |
| 作者姓名： | 高欢萍 刘美 杜永贵 |
| 作者单位： | 1. 太原理工大学,信息工程学院,山西,太原,030024;茂名学院,计算机与电子信息学院,广东,茂名,525000 2. 茂名学院,计算机与电子信息学院,广东,茂名,525000 3. 太原理工大学,信息工程学院,山西,太原,030024 |
| 基金项目： | 广东省自然科学基金项目;茂名市重点科技计划项目 |
| 摘 要： | 针对无线传感器网络实际环境的非线性模型目标跟踪问题，提出一种改进的粒子滤波跟踪算法。首先用模糊C-均值算法确定量测的目标归属，对同一目标的量测进行线性融合，然后用采样重要重采样粒子滤波估计目标位置。仿真结果表明：在非线性模型下，所提出算法与扩展卡尔曼滤波相比，目标估计位置的均方根误差从0．6895m显著减小到0．3703m。 |
| 关 键 词： | 目标跟踪 非线性模型 扩展卡尔曼滤波 粒子滤波 |
An algorithm of improved particle filter for target tracking |
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| GAO Huan-ping,LIU Mei,DU Yong-gui.An algorithm of improved particle filter for target tracking[J].Journal of Maoming College,2010,20(1):37-40,48. | |
| Authors: | GAO Huan-ping LIU Mei DU Yong-gui |
| Institution: | GAO Huan-ping1,2,LIU Mei2,DU Yong-gui1(1.College of Information Engineering Taiyuan University of Technology,Taiyuan 030024,China,2.College of Computer , Electronic Information,Maoming University,Maoming 525000,China) |
| Abstract: | Aiming at non-linear model in the physical environment of wireless sensor network,an improved algorithm of particle filter is proposed for target tracking.First,the observed data from the sensors were fuzzy clustered by fuzzy C-means algorithm and integrated by linear fusion,then estimated the location of target by sampling importance re-sampling particle filter.The results of simulation show that the of target estimated location decreases greatly from 0.6895 to 0.3703 compared with extended Kalman filter f... |
| Keywords: | target tracking nonlinear model extended kalman filter particle filtering |
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