In-Motion Attitude and Position Alignment for Odometer-Aided SINS Based on Backtracking Scheme

被引:22
作者
Sun, Yiding [1 ]
Wang, Lifen [1 ]
Cai, Qingzhong [1 ]
Yang, Gongliu [1 ]
Wen, Zeyang [1 ]
机构
[1] Beihang Univ, Instrumentat & Optoelect Engn, Beijing 100191, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
In-motion alignment; strapdown inertial navigation system (SINS); odometer (OD); backtracking; INTEGRATION;
D O I
10.1109/ACCESS.2019.2897638
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In-motion alignment of navigation-grade strapdown inertial navigation system (SINS) combined with odometer (OD) is one of the challenging issues for the land vehicle navigation, while most current in-motion alignment methods still rely on the measurements of the global positioning system or only aim at improving the attitude alignment, thus neglecting the position alignment. Thus, one of the main obstacles during the in-motion alignment for SINS/OD is to autonomously and simultaneously obtain the high-precision attitude and position within specified time. In this paper, an in-motion alignment scheme based on the backtracking scheme is presented to solve this problem. The proposed method consists of two steps. First, an improved optimization-based coarse alignment (IOBCA) is employed to obtain the attitude and position with reasonable precision, and the gravity deflexion error projection in inertial frame caused by the positioning error is diminished, which contributes to better alignment results for the subsequent process. Second, initialized with the alignment results provided by IOBCA, a backtracking-scheme-based fine alignment combined with the Kalman filter is investigated to make a further improvement in the precision of attitude and position, during which the known initial binding position and zero velocity have been utilized again. The car-mounted field experimental results illustrate that the proposed method can not only autonomously improve the precision of attitude within a short time but also simultaneously achieve the position with high precision.
引用
收藏
页码:20211 / 20224
页数:14
相关论文
共 28 条
  • [11] A New Process Uncertainty Robust Student's t Based Kalman Filter for SINS/GPS Integration
    Huang, Yulong
    Zhang, Yonggang
    [J]. IEEE ACCESS, 2017, 5 : 14391 - 14404
  • [12] A novel backtracking navigation scheme for Autonomous Underwater Vehicles
    Li, Wanli
    Wu, Wenqi
    Wang, Jinling
    Wu, Meiping
    [J]. MEASUREMENT, 2014, 47 : 496 - 504
  • [13] A Fast SINS Initial Alignment Scheme for Underwater Vehicle Applications
    Li, Wanli
    Wu, Wenqi
    Wang, Jinling
    Lu, Liangqing
    [J]. JOURNAL OF NAVIGATION, 2013, 66 (02) : 181 - 198
  • [14] GPS/INS/Odometer Integrated System Using Fuzzy Neural Network for Land Vehicle Navigation Applications
    Li, Zengke
    Wang, Jian
    Li, Binghao
    Gao, Jingxiang
    Tan, Xinglong
    [J]. JOURNAL OF NAVIGATION, 2014, 67 (06) : 967 - 983
  • [15] Markley FL., 2014, Fundamentals of Spacecraft Attitude Determination and Control
  • [16] [秦永元 Qin Yongyuan], 2005, [西北工业大学学报, Journal of Northwestern Polytechnical University], V23, P681
  • [17] On the error state selection for stationary SINS alignment and calibration Kalman filters - part I: Estimation algorithms
    Silva, Felipe O.
    Hemerly, Elder M.
    Leite Filho, Waldemar C.
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2017, 61 : 45 - 56
  • [18] INS/GPS Integration: Global Observability Analysis
    Tang, Yonggang
    Wu, Yuanxin
    Wu, Meiping
    Wu, Wenqi
    Hu, Xiaoping
    Shen, Lincheng
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2009, 58 (03) : 1129 - 1142
  • [19] Titterton D. H., 2004, STRAPDOWN INERTIAL N, P3
  • [20] WAHBA G., 1965, SIAM REV, V7, P385