| 一种提高车辆导航系统定位精度的方法 |
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| 引用本文： | 吴万清,钟世明,朱才连.一种提高车辆导航系统定位精度的方法[J].传感器与微系统,2004,23(12):62-65. |
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| 作者姓名： | 吴万清 钟世明 朱才连 |
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| 作者单位： | 中国科学院,测量与地球物理研究所,湖北,武汉,430077 |
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| 摘 要： | 为了解决量测方程线性化及普通卡尔曼滤波数值稳定性对车载航位推算系统滤波结果的影响,给出了车载航位推算系统的基于U D分解的自适应迭代滤波算法,并将这一算法与车载航位推算系统的迭代型自适应推广卡尔曼滤波算法及简单航位推算进行了比较。计算机仿真结果表明:新算法能够有效地提高车载航位推算系统的定位精度及数值稳定性。
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| 关 键 词： | 车辆导航 UD分解 卡尔曼滤波 迭代 航位推算 |
| 文章编号： | 1000-9787(2004)12-0062-04 |
| 修稿时间： | 2004年6月29日 |
Method for improving positioning accuracy of land vehicle navigation system |
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| WU Wan-qing,ZHONG Shi-ming,ZHU Cai-lian.Method for improving positioning accuracy of land vehicle navigation system[J].Transducer and Microsystem Technology,2004,23(12):62-65. |
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| Authors: | WU Wan-qing ZHONG Shi-ming ZHU Cai-lian |
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| Abstract: | For dealing with affect caused by linearization of the surveying equation and the bad numerical stability of Kalman filter,U-D factorization-based adaptive extended iterative filter model of dead-reckoning (DR) system for land vehicle navigation and its filtering algorithm are proposed,the new algorithm also being compared with iterative version of adaptive extended Kalman filter algorithm and sample dead reckoning algorithm.The computer simulation results show that the positioning accuracy and numerical stability of the system can be remarkable improved by this algorithm. |
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| Keywords: | land vehicle navigation U-D factorization Kalman filter iterative DR(dead-reckoning) |
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