In-Flight Alignment of Integrated SINS/GPS/Polarization/Geomagnetic Navigation System Based on Federal UKF

被引:17
|
作者
Cao, Songyin [1 ]
Gao, Honglian [1 ]
You, Jie [1 ]
机构
[1] Yangzhou Univ, Coll Informat Engn, Dept Automat, Yangzhou 225127, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
inertial navigation system; polarization navigation; integrated navigation; in-flight alignment; unscented Kalman filter; INITIAL ALIGNMENT; OBSERVABILITY; SINS;
D O I
10.3390/s22165985
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
As a common integrated navigation system, the strapdown inertial navigation system (SINS)/global positioning system (GPS) can estimate velocity and position errors well. Many auxiliary attitude measurement systems can be used to improve the accuracy of attitude angle errors. In this paper, the in-flight alignment problem of the integrated SINS/GPS/Polarization/Geomagnetic navigation system is discussed. Firstly, the SINS/Geomagnetic subsystem is constructed to improve the estimation accuracy of horizontal attitude angles. Secondly, the polarization sensor is used to improve the estimation accuracy of heading angle. Then, a federal unscented Kalman filter (FUKF) with non-reset structure is applied to fuse the navigation data. Finally, simulation results for the integrated navigation system are provided based on experimental data. It can be shown that the proposed approach can improve not only the speed and position, but also the attitude error effectively.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] In-flight alignment of a strapdown inertial navigation system of an unmanned aerial vehicle
    K. K. Veremeenko
    V. M. Savel’ev
    Journal of Computer and Systems Sciences International, 2013, 52 : 106 - 116
  • [42] A Carrier Attitude Measuring System Based on SINS/Geomagnetic Navigation
    Ren Bo
    Wang Zhaohui
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 5233 - 5236
  • [43] Study on UKF based Federal Integrated navigation for High Dynamic Aviation
    Gang, Zhao
    Wei, Shao
    Kai, Chen
    Jie, Yan
    INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2011: SPACE EXPLORATION TECHNOLOGIES AND APPLICATIONS, 2011, 8196
  • [44] Enhanced Accuracy Navigation Solutions Realized Through SINS/GPS Integrated Navigation System
    Fariz, Outamazirt
    Ushaq, Muhammad
    Yan, Lin
    Li, Fu
    OPTIROB 2013: OPTIMIZATION OF THE INTELLIGENT SYSTEMS AND THEIR APPLICATIONS IN AEROSPACE, ROBOTICS, MECHANICAL ENGINEERING, MANUFACTURING SYSTEMS, BIOMECHATRONICS AND NEUROREHABILITATION, 2014, 332 : 79 - 85
  • [45] SINS and GPS Integrated Navigation System of a Small Unmanned Aerial Vehicle
    Tao, Zhou
    Lei, Wang
    FBIE: 2008 INTERNATIONAL SEMINAR ON FUTURE BIOMEDICAL INFORMATION ENGINEERING, PROCEEDINGS, 2008, : 465 - 468
  • [46] Study of Integrated Vehicle Navigation System Based on UKF
    Lu, Jianshan
    Wang, Changming
    Zhang, Aijun
    Song, Gaoshun
    PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS, VOLS 1 AND 2, 2009, : 1867 - 1870
  • [47] SINS/GPS Integrated Navigation System using an Improved Particle Filter based on State Reconstruction
    Ma, Longhua
    Guan, Bo
    CONTROL ENGINEERING AND APPLIED INFORMATICS, 2011, 13 (03): : 58 - 64
  • [48] Design of SINS/GPS Integrated Navigation System Based on Dual NiosII Soft-core
    Chai, Zhi
    Miao, Lingjuan
    Shen, Jun
    2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2012, : 198 - 202
  • [49] Research on SINS/GPS integrated navigation system based on grid reference frame in the polar region
    Song, Lijun
    Duan, ZhongXing
    He, Bo
    Li, Zhe
    ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (09)
  • [50] Adaptive UKF algorithm and its application for GPS/INS integrated navigation system
    Institute of Surveying and Mapping, University of Information Engineering, Zhengzhou 450052, China
    不详
    Beijing Ligong Daxue Xuebao, 2008, 6 (505-509):