| 基于推广卡尔曼滤波的多站被动式融合跟踪 |
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| 引用本文： | 程咏梅,潘泉,张洪才,叶西宁.基于推广卡尔曼滤波的多站被动式融合跟踪[J].系统仿真学报,2003,15(4):548-550. |
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| 作者姓名： | 程咏梅 潘泉 张洪才 叶西宁 |
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| 作者单位： | 西北工业大学自动控制系,西安,710072 |
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| 基金项目： | 航空科学基金资助(99D53041) |
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| 摘 要： | 将推广卡尔曼滤波(EKF)算法与集中式融合跟踪算法相结合，用于被动式多站跟踪，给出了基于EKF的被动式多站集中式融合跟踪算法。该算法可解决被动式跟踪系统的可观测性及非线性问题。以三个站进行跟踪为例，进行了仿真研究，结果表明该算法具有满意的跟踪性能。
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| 关 键 词： | 被动式多站集中式融合跟踪算法 卡尔曼滤波 数据融合 数据处理 |
| 文章编号： | 1004-731X(2003)04-0548-03 |
| 修稿时间： | 2002年6月7日 |
Multistation Passive Fusion Tracking Based on Extended Kalman Filter |
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| CHENG Yong-mei,PAN Quan,ZHANG Hong-cai,YE Xi-ning.Multistation Passive Fusion Tracking Based on Extended Kalman Filter[J].Journal of System Simulation,2003,15(4):548-550. |
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| Authors: | CHENG Yong-mei PAN Quan ZHANG Hong-cai YE Xi-ning |
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| Abstract: | Multistation passive fusion tracking algorithms is given, based on EKF ( Extended Kalman Filter ) algorithms, and central fusion structure is selected. It can solve observability and nolinear problems of passive tracking system. As an example, the simulation experiment is conducted for the case which consists of three stations. The simulation results show that the tracking performances are satisfactory. |
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| Keywords: | extended Kalman filter multistation passive fusion tracking algorithms observability nolinear |
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