Measurement augmentation based fast initial alignment of SINS

被引:3
|
作者
机构
[1] The Second Artillery Engineering University
[2] Army Officer Academy
来源
Guo, X.-S. (gxs202@126.com) | 1600年 / Chinese Institute of Electronics卷 / 36期
关键词
Convergence; Initial alignment; Observability analysis; Strap-down initial navigation system (SINS);
D O I
10.3969/j.issn.1001-506X.2014.07.26
中图分类号
学科分类号
摘要
In order to study how the information of accelerometers and gyros affect the speed of initial alignment of SINS. The system observation functions with different measurements are established according to the system principle. After the calculation of the measurements corresponding to different observable statements combinations, the observability of different statements based on different measurements combinations are analyzed. Several statements estimation convergence are compared while using different measurements combinations. Then the test verified the accuracy of the analysis sufficiently. Both analysis of observability and the test result show that the information of equivalent specific force errors cannot speed up the estimation of azimuth misalignment angle. The information of gyros errors can speed up the estimation of misalignment angles, while the estimation of azimuth misalignment angle can be speeded up only with the information of equivalent east gyro error.
引用
收藏
页码:1392 / 1396
页数:4
相关论文
共 50 条
  • [31] Initial Alignment of Large Azimuth Misalignment Angles in SINS Based on Adaptive UPF
    Sun, Jin
    Xu, Xiao-Su
    Liu, Yi-Ting
    Zhang, Tao
    Li, Yao
    SENSORS, 2015, 15 (09) : 21807 - 21823
  • [32] Research on Initial Alignment Method of SINS with Improved CKF
    Zhang, Guoqiang
    Lu, Changhua
    Li, Yan
    PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 2315 - 2319
  • [33] Combination of Wavelet and Kalman Filter in SINS Initial Alignment
    Lei, Pei
    Zhang, Xinghui
    2009 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION, PROCEEDINGS, 2009, : 236 - 239
  • [34] Research on Model Prediction Filter in SINS Initial Alignment
    Zhao Ming-yang
    Tan Zhao-ming
    Zhang Shun
    Wang Jing-min
    Chen Jie
    Mu Hong-wei
    Han Lei
    2022 ASIA CONFERENCE ON ALGORITHMS, COMPUTING AND MACHINE LEARNING (CACML 2022), 2022, : 686 - 692
  • [35] Application of dual adaptive UKF in initial alignment of SINS
    School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
    Beijing Youdian Daxue Xuebao, 1 (11-15): : 11 - 15
  • [36] Application of the least square filtering in initial alignment of SINS
    Zhao Long
    Wang Li
    7TH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND CONTROL TECHNOLOGY: MEASUREMENT THEORY AND SYSTEMS AND AERONAUTICAL EQUIPMENT, 2008, 7128
  • [37] SINS stationary initial alignment based on simplified autocovariance least-squares method
    Luo, Z. (zhcluo@sgg.whu.edu.cn), 1600, Editorial Board of Medical Journal of Wuhan University (39): : 586 - 590
  • [38] In-motion SINS initial alignment algorithm for the shearer based on frequency domain isolation
    Chen Y.
    Li W.
    Xin G.
    Wang Y.
    Si Z.
    Meitan Xuebao/Journal of the China Coal Society, 2020, 45 (09): : 3333 - 3340
  • [39] Research of nonlinear dual-axis rotary SINS initial alignment based on CPF
    Yu, Fei
    Sun, Qian
    Zhang, Ya
    Journal of Computational Information Systems, 2014, 10 (03): : 1093 - 1100
  • [40] SINS initial alignment algorithm based on inertial frame Kalman filtering for marching vehicles
    Miao, Ling-Juan
    Gao, Wei-Xi
    Shen, Jun
    Guo, Zi-Wei
    Binggong Xuebao/Acta Armamentarii, 2013, 34 (02): : 143 - 148