| 基于无迹卡尔曼滤波的单站混合定位跟踪算法 |
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| 引用本文： | 刘翔,宋常建,胡磊,钟子发.基于无迹卡尔曼滤波的单站混合定位跟踪算法[J].探测与控制学报,2012,34(3):71-75. |
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| 作者姓名： | 刘翔 宋常建 胡磊 钟子发 |
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| 作者单位： | 1. 解放军电子工程学院电子制约技术重点实验室,安徽合肥,230037
2. 解放军汽车管理学院,安徽蚌埠,230011 |
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| 摘 要： | 针对移动台的单站跟踪问题,以"到达时间和与到达时间差(TSOA/TDOA)"新型混合定位技术作为基础,提出一种基于"到达时间和与到达时间差"混合被动单站定位模型的无迹卡尔曼滤波跟踪算法。该算法以观测到的有噪信息为基础,引入"到达时间和与到达时间差"观测模式,使用受随机加速影响的匀速运动状态作为跟踪算法的状态模型,将无迹卡尔曼滤波(UKF)算法应用在移动台的定位跟踪上,实现了对移动台的位移和速度的同步跟踪。仿真结果表明:无迹卡尔曼滤波算法应用移动台跟踪系统是有效的;与扩展卡尔曼滤波相比,其跟踪算法的滤波精度、稳定性更优。
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| 关 键 词： | 移动台跟踪 无迹卡尔曼滤波(UKF) 到达时间之和(TSOA) 混合定位 |
A Locating and Tracking Algorithm Based on UKF |
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| LIU Xiang
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SONG Changjian
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HU Lei
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ZHONG Zifa.A Locating and Tracking Algorithm Based on UKF[J].Journal of Detection & Control,2012,34(3):71-75. |
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| Authors: | LIU Xiang SONG Changjian HU Lei ZHONG Zifa |
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| Affiliation: | 1(1.Electronic Engineering Institute of PLA,Key Laboratory of Electronic Restriction,Hefei 230037,China; 2.Automobile Management institute of PLA,Bengbu 230011,China) |
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| Abstract: | A locating and tracking algorithm based on the single station model of unscented Kalman filter(UKF) of TSOA/TOOA combination was proposed in this paper.This algorithm introduced TSOA/TOOA to set up the the state-space model which affected by the acceleration.The algorithm could accurately estimate the mobile station’s(MS) position and speed at same time.Numerical simulations showed that the unscented Kalman filter(UKF) was an effective filtering method for mobile tracking system,and it performed better than extended Kalman filter(EKF) in precision and stability. |
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| Keywords: | mobile tracking unscented Kalman filter(UKF) time sum of arrival(TSOA) hybrid positioning |
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