• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on ITS(Intelligent Transport Systems Standardization) Telecommunications Proceedings(ITST2006); 20060621-23; Chengdu(CN) >A New Algorithm for GPS-Based Vehicle Navigation System
【24h】

A New Algorithm for GPS-Based Vehicle Navigation System

机译：基于GPS的车辆导航系统的新算法

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The precise location of a moving vehicle is the one of key factors in intelligent transportation system (ITS). The Kalman filtering technique, which is often applied directly to Vehicle Navigation System (VNS) operated by GPS, can give optimal estimation of moving vehicles. The navigation accuracy using Kalman filter depends on a reliable function model, stochastic model and proper estimation method. In order to gain good navigation precision, an adoptively robust Kalman filtering algorithm based on the current statistical model is presented in this paper. This filter is a combination of adaptive UD decomposition Kalman filter with Quasi-Accurate Detection of gross errors (QUAD) method. It uses QUAD method to detect and correct gross errors in GPS obsen'ations, applies UD decomposition technique to improve computation precision and stability of filter and employs Sage adaptive filter to avoid divergence. Features of good stability, strong adaptability and well elimination of gross errors of this new comprehensive filter have been demonstrated with two simulation examples at last.
机译：移动车辆的精确位置是智能运输系统（ITS）的关键因素之一。卡尔曼滤波技术通常直接应用于由GPS操作的车辆导航系统（VNS），可以对行驶中的车辆进行最佳估计。使用卡尔曼滤波器的导航精度取决于可靠的功能模型，随机模型和适当的估计方法。为了获得良好的导航精度，提出了一种基于当前统计模型的鲁棒性卡尔曼滤波算法。该滤波器是自适应UD分解卡尔曼滤波器与准错误的准精确检测（QUAD）方法的组合。它使用QUAD方法来检测和纠正GPS观测中的粗差，应用UD分解技术来提高滤波器的计算精度和稳定性，并使用Sage自适应滤波器来避免发散。最后，通过两个仿真实例证明了该新型综合滤波器的稳定性好，适应性强，消除了总误差的特点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号