| 基于扩展卡尔曼滤波的多传感器目标跟踪 |
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| 引用本文： | 潘丽娜.基于扩展卡尔曼滤波的多传感器目标跟踪[J].舰船电子工程,2010,30(12):71-72,154. |
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| 作者姓名： | 潘丽娜 |
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| 作者单位： | 海军航空工程学院基础部,烟台264001 |
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| 基金项目： | 国家自然科学基金项目，全国优秀博士论文作者专项资金项目 |
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| 摘 要： | 系统所处环境的复杂性使得现在科技对目标跟踪精度的要求越来越高,而且单传感器状态的估计已经无法满足系统感知外部环境的需要。在此,研究了基于扩展卡尔曼滤波的多传感器目标跟踪方法。仿真表明,扩展卡尔曼滤波对于非线性系统跟踪的效果更好。
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| 关 键 词： | 扩展卡尔曼滤波 非线性系统 多传感器目标跟踪 |
Multisensor Multitarget Tracking Fusion Algorithms Based on EKF |
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| Pan Lina.Multisensor Multitarget Tracking Fusion Algorithms Based on EKF[J].Ship Electronic Engineering,2010,30(12):71-72,154. |
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| Authors: | Pan Lina |
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| Institution: | Pan Lina(Department of Basic Sciences,Naval Aeronautical and Astronautical University,Yantai 264001) |
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| Abstract: | As complexity of the system environment and high demand of the modern for precision tracking,single sensor state estimation has not met the perceived needs of external environment.In this paper,multisensor multitarget tracking fusion algorithms based on EKF are studied.Simulation and text show that this method has a very good filter effect. |
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| Keywords: | EKF nonlinear system multisensor multitarget tracking |
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