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GPS动态定位的强跟踪卡尔曼滤波研究
引用本文:房建成,万德钧.GPS动态定位的强跟踪卡尔曼滤波研究[J].东南大学学报(自然科学版),1997,27(2):60-66.
作者姓名:房建成  万德钧
作者单位:东南大学仪器科学与工程系
基金项目:中船总“八·五”预研项目及江苏省应用基础研究基金
摘    要:提出一种改进的强跟踪卡尔曼滤波算法,应用于GPS动态定位滤中获得明显效果,首先采用描述机动载体运动的“当前”统计模型,建立了一咱新的GPS动态定位扩展卡尔曼滤波模拟及其适应算法,然后,为了进一步提高滤波器的动态性能,改进了周东华等提出了的强跟踪滤波器,大大提高了GPS动态定位位扩展卡尔曼滤器的跟踪能力。

关 键 词:GPS  动态定位  卡尔曼滤波  强跟踪滤波器  导航

Modified Strong Tracking Kalman Filter and Its Application in GPS Kinematic Positioning for Moving Vehicles
Fang Jiancheng,Wan Dejun,Wu Qiuping.Modified Strong Tracking Kalman Filter and Its Application in GPS Kinematic Positioning for Moving Vehicles[J].Journal of Southeast University(Natural Science Edition),1997,27(2):60-66.
Authors:Fang Jiancheng  Wan Dejun  Wu Qiuping
Abstract:A modified strong tracking Kalman filtering algorithm is proposed, and the performance of GPS kinematic positoning filter is improved for moving vehicles by use of the filtering algorithm. At first, by means of a current statistical model and adaptive algorithm for estimatimg maneuvering tragets, a new extended Kalman filtering model is built to estimate the position and velocity of moving vehicles, and the adaptive algorithm of the extended Kalman filter is presented. Then in order to improve the dynamic performance of the Kalman filter, an effective modified strong tracking Kalman filtering algorithm is introduced in detail.
Keywords:GPS  kinematic positioning  Kalman filtering  strong tracking filter
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