论文:2012,Vol:30,Issue(6):952-956
引用本文:
阮晓明, 程咏梅, 程承, 潘泉. 一种改进的低成本车载MIMU/GPS组合导航系统算法[J]. 西北工业大学
Ruan Xiaoming, Cheng Yongmei, Cheng Cheng, Pan Quan. A Better Low-Cost MIMU/GPS Integrated Navigation Algorithm for Land Vehicle[J]. Northwestern polytechnical university

一种改进的低成本车载MIMU/GPS组合导航系统算法
阮晓明, 程咏梅, 程承, 潘泉
西北工业大学 自动化学院, 陕西 西安 710072
摘要:
针对低成本车载MIMU/GPS组合导航系统中存在的航向角可观测性较弱的问题,建立了一种加入GPS测速所获得的航向角信息的量测方程,增强系统航向角的可观测性,从而解决了低成本车载MIMU/GPS组合导航中的航向角可观测性较弱的问题。同时,为提高实时计算效率,并考虑低精度惯性器件噪声统计特性不易准确获得,采用降阶状态模型,并设计改进型强跟踪卡尔曼滤波与U-D分解相结合的滤波算法来抑制模型不精确造成的滤波发散。跑车实验表明,所设计的方法能够很好适用于低成本车载MIMU/GPS组合导航系统。
关键词:    MIMU/GPS组合导航    航向角    改进型强跟踪卡尔曼滤波    U-D分解滤波   
A Better Low-Cost MIMU/GPS Integrated Navigation Algorithm for Land Vehicle
Ruan Xiaoming, Cheng Yongmei, Cheng Cheng, Pan Quan
Department of Automatic Control,Northwestern Polytechnical University,Xi'an 710072,China
Abstract:
Sections 1 though 4 of the full paper explain our algorithm mentioned in the title,which we believe isbetter than existing ones. Their core consists of: (1) due to the problem of weak observability of yaw angle in Chi-nese low-cost MIMU/GPS integrated navigation for land vehicle,we put forward a new measurement equationadding the information of yaw angle determined from GPS velocity,which enhances the observability of yaw angleand solves the problem; MINU stands for Miniature Inertial Measurement Unit and GPS stands for Global Positio-ning System; (2) for improving the efficiency of real-time calculations and considering hard-to-obtain statisticalproperties of low-precision inertial devices,we adopt reduced order state model; (3) our filter algorithm,whichcombines that of the modified strong tracking Kalman filter with that of the UD decomposition filter,is designed tosuppress the filter divergence cause of imprecise model. The experimental results,presented in Figs. 2 through 7and Table 1,and their analysis show preliminarily that our algorithm is indeed better for the low-cost MIMU/GPSintegrated navigation system for land vehicle.
Key words:    MINU/GPS integrated navigation    yaw angle    Kalman filters    measurement errors   
收稿日期: 2011-12-12     修回日期:
DOI:
基金项目: 航空科学基金(20090853013、20100853010)资助
通讯作者:     Email:
作者简介: 阮晓明(1987-),西北工业大学硕士研究生,主要从事组合导航、相对导航和信息融合的研究。
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