An Outlier Detection Method of GNSS/SINS Integrated Navigation Based on Accelerometer Bias Stability

TAO Xianlu; ZHANG Xiaohong; ZHU Feng; XIAO Jiamin

doi:10.13203/j.whugis20160405

Volume 43 Issue 7

Jul. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(7): 1078-1084. > DOI: 10.13203/j.whugis20160405

TAO Xianlu, ZHANG Xiaohong, ZHU Feng, XIAO Jiamin. An Outlier Detection Method of GNSS/SINS Integrated Navigation Based on Accelerometer Bias Stability[J]. Geomatics and Information Science of Wuhan University, 2018, 43(7): 1078-1084. DOI: 10.13203/j.whugis20160405

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An Outlier Detection Method of GNSS/SINS Integrated Navigation Based on Accelerometer Bias Stability

1.
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

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The National Key Research and Development Program of China 2016YFB0501803

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TAO Xianlu, postgraduate, specializes in GNSS/SINS integrated navigation. E-mail: xltao@whu.edu.cn
Received Date: February 28, 2017
Published Date: July 04, 2018

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Abstract

Abstract

In the ground vehicle integrated navigation, GNSS observations are often interfered by complex ground environment and thus, its positioning result is more prone to contain outliers which can seriously affect GNSS/SINS integrated filter solution. This paper, from the perspective of IMU system error feature, studies an outlier detection method of GNSS/SINS integrated navigation based on accelerometer bias stability. According to the outlier of accelerometer bias result, the method detects gross errors in GNSS position, velocity, etc; and then applies the robust strategies of rejection and weight reduction to resist the influence of gross errors. The method is analyzed by a set of vehicle measured data. The results show that the observation outliers can greatly affect the accelerometer bias result and thus taking the accelerometer bias stability as a condition, the outliers can be exactly detected. In every direction of ENU, the RMS of position and the RMS of velocity are improved by 70.8% and 87.9% respectively; the RMS of attitude is improved by 77.7%. The method greatly improves the accuracy and robustness of integrated navigation results and provides a new strategy for robust processing of integrated navigation data.
- observation outlier,
- robust filtering,
- integrated navigation,
- accelerometer bias stability,
- loosely coupled

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[1]	Nassar S, Niu X, El-Sheimy N. Land-Vehicle INS/GPS Accurate Positioning During GPS Signal Blockage Periods[J]. Journal of Surveying Enginee-ring, 2007, 133(3):134-143 doi: 10.1061/(ASCE)0733-9453(2007)133:3(134)
[2]	苗岳旺, 周巍, 田亮, 等.基于新息χ²检测的扩展抗差卡尔曼滤波及其应用[J].武汉大学学报·信息科学版, 2016, 41(2):269-273 http://ch.whu.edu.cn/CN/abstract/abstract3466.shtml Miao Yuewang, Zhou Wei, Tian Liang, et al. Extended Robust Kalman Filter Based on Innovation Chi-square Test Algorithm and Its Application[J]. Geomatics and Information Science of Wuhan University, 2016, 41(2):269-273 http://ch.whu.edu.cn/CN/abstract/abstract3466.shtml
[3]	苗岳旺. SINS/GPS组合导航数据处理方法研究[D]. 郑州: 信息工程大学, 2013 Miao Yuewang. Research on Data Processing Methods of SINS/GPS Integrated Navigation[D]. Zhengzhou: Information Engineering University, 2013
[4]	吴富梅, 聂建亮, 何正斌.利用预测残差和选权滤波构造的分类因子在GPS/INS组合导航中的应用[J].武汉大学学报·信息科学版, 2012, 37(3):261-264 http://ch.whu.edu.cn/CN/abstract/abstract132.shtml Wu Fumei, Nie Jianliang, He Zhengbin. Classified Adaptive Filtering to GPS/INS Integrated Navigation Based on Predicted Residuals and Selecting Weight Filtering[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3):261-264 http://ch.whu.edu.cn/CN/abstract/abstract132.shtml
[5]	何正斌, 吴富梅, 聂建亮.先验协方差阵误差对动态Kalman滤波解的影响[J].武汉大学学报·信息科学版, 2011, 36(1):34-38 http://ch.whu.edu.cn/CN/abstract/abstract442.shtml He Zhengbin, Wu Fumei, Nie Jianliang. Error Influences of Prior Covariance Matrices on Dynamic Kalman Filtering[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1):34-38 http://ch.whu.edu.cn/CN/abstract/abstract442.shtml
[6]	朱锋. PPP/SINS组合导航关键技术与算法研究实现[D]. 武汉: 武汉大学, 2015 Zhu Feng. The Key Technology and Algorithm of PPP/SINS Integration[D]. Wuhan: Wuhan University, 2015
[7]	Groves P D. Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems[M]. London:Artech House, 2008
[8]	Shin E H. Estimation Techniques for Low-Cost Inertial Navigation[D]. Calgary: University of Calgary, 2003
[9]	Noureldin A, Karamat T B, Georgy J. Fundamentals of Inertial Navigation, Satellite-Based Positioning and Their Integration[M]. Heidelberg, Berlin:Springer, 2013
[10]	杨元喜.自适应动态导航定位[M].北京:测绘出版社, 2006 Yang Yuanxi. Adaptive Navigation and Kinematic Positioning[M]. Beijing:Surveying and Mapping Press, 2006
[11]	李浩军, 唐诗华, 黄杰.抗差估计中几种选权迭代法常数选取的探讨[J].测绘科学, 2006, 31(6):70-71 http://www.cnki.com.cn/Article/CJFDTOTAL-CHKD200606022.htm Li Haojun, Tang Shihua, Huang Jie. Discussion for the Selection of Constant in Selecting Weight Iteration Method in Robust Estimation[J]. Science of Surveying and Mapping, 2006, 31(6):70-71 http://www.cnki.com.cn/Article/CJFDTOTAL-CHKD200606022.htm
[12]	陈西强, 黄张裕.抗差估计的选权迭代法分析与比较[J].测绘工程, 2010, 19(4):8-11 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chgc201004003 Chen Xiqiang, Huang Zhangyu. Analysis and Com-parison of the Selecting Weight Iteration Method in Resistance Robust Estimation[J]. Engineering of Surveying and Mapping, 2010, 19(4):8-11 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chgc201004003

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An Outlier Detection Method of GNSS/SINS Integrated Navigation Based on Accelerometer Bias Stability

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