| 引用本文: | 王玲,魏星,万建伟,等.通过变维kalman滤波实现融合定位.[J].国防科技大学学报,2005,27(2):70-74.[点击复制] |
| WANG Ling,WEI Xing,WAN Jianwei,et al.VD-Kalman Tracking for Mobile Vehicle Positioning[J].Journal of National University of Defense Technology,2005,27(2):70-74[点击复制] |
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| 通过变维kalman滤波实现融合定位 |
| 王玲, 魏星, 万建伟, 刘云辉 |
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(国防科技大学 电子科学与工程学院，湖南 长沙 410073)
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| 摘要: |
| 为了能更好地跟踪、定位机动目标，提出了一种将蜂窝网定位信息与本地传感器信息相融合，利用变维Kalman滤波实现定位的方法。本地传感器信息指目标的运动速度和方向。仿真实验证明该方法具有较强的机动跟踪能力，定位精度高，且计算相对简便。 |
| 关键词: 信息融合 蜂窝网定位 TDOA 变维Kalman滤波 |
| DOI： |
| 投稿日期：2004-10-08 |
| 基金项目:国家863高技术资助项目(2002AA422250) |
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| VD-Kalman Tracking for Mobile Vehicle Positioning |
| WANG Ling, WEI Xing, WAN Jianwei, LIU Yunhui |
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(College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| A new method for tracking the maneuver of a mobile vehicle by fusing the information of network-based positioning and the local sensors equipped on the vehicle is proposed. We employ the positioning system of the commercial mobile communication network as the network based positioning. The local sensors used here are internal sensors, such as position and velocity sensors of the vehicle. In order to reject random noises in the global and local position sensing, the variable-dimension Kalman filter is employed to fuse the information from different sources and estimate the position of the vehicle. The performance of this new method has been verified by simulations on the tracking of maneuvering vehicles. |
| Keywords: information fusion network based positioning TDOA VD-Kalamn |
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