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一种带改进“当前”统计模型的GPS/DR车辆组合定位系统

An GPS/DR Vehicle Integrated localization System With Improved Current Statistical Model
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摘要 文中分析了"当前"统计模型在GPS/DR车辆组合定位实际应用中的问题,基于"当前"统计模型原理提出一种改进的"当前"统计模型,并将其应用于GPS/DR组合定位系统的数据融合中。实地跑车数据验证表明:使用该算法的定位系统无需任何参数的预先设定,即可实现对系统方差的自适应调整,对车辆的各种运动状态进行准确跟踪。 This paper analyzes the adverse influence of Current Statistical Model on the concrete GPS/DR vehicle integrated localization, and an improved Current Statistical Model used in GPS/DR Integrated localization System information fusion is given, which is based on the principle of Current Statistical Model, The real data tests prove that the system with this algorithm can implement self-adaptation to the system variance without any predetermined parameters, and track precisely the motion state of various vehicles.
出处 《通信技术》 2008年第7期141-143,146,共4页 Communications Technology
关键词 组合定位 数据融合 GPS/DR 改进的“当前”统计模型 卡尔曼滤波 integrated localization: information fusion: GPS/DR: improved current statistical model: Kalman filter
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