A Modified Unscented Kalman Filter for Autonomous Navigation of Distributed Satellite Systems

被引：0
|
作者：
Zhang, Ai [1 ]
Li, Yong [1 ]
机构：
[1] China Acad Space Technol, Qian Xuesen Lab Space Technol, Beijing 100094, Peoples R China
来源：
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
关键词：
autonomous navigation; distributed satellite system; unscented Kalman filter; OBSERVABILITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
k-order local weak observability is a indication of the observability of nonlinear system. In this paper, it is applied to describing the obserbability of autonomous navigation of a distributed satellite system with relative position measurement only. A modified unscented Kalman filter (UKF) is proposed to improve the accuracy of autonomous orbit determination for the two-satellite system. The navigation algorithm using this method for simultaneously estimating has been presented. It is demonstrated that compared with the general unscented Kalman filter, the modified unscented Kalman filter can raise the accuracy of the navigation system.
引用
收藏
页码：5811 / 5816
页数：6
相关论文
共 50 条
  • [41] Two modifications of the unscented Kalman filter that specialize to the Kalman filter for linear systems
    Department of Aerospace Engineering, University of Michigan, Ann Arbor
    MI
    48109, United States
    不详
    MI
    48109, United States
    arXiv, 1600,
  • [42] INS/BDS integrated navigation filter algorithm based on Unscented Kalman Filter
    Lei, Jie
    Bai, Ming
    Chen, Zhipeng
    Wu, Linfeng
    Zhan, Yiyi
    Xia, Xinhai
    Wu, Zexin
    Zheng, Jielin
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 3624 - 3629
  • [43] Unscented Kalman filter application in astronomical satellite attitude determination
    Dept. of Precision Instrum., Tsinghua Univ., Beijing 100084, China
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2003, 43 (08): : 1013 - 1016
  • [44] Attitude determination for satellite using adaptive unscented Kalman filter
    Xiao L.
    Wang S.-J.
    Chang L.
    Zhou M.-L.
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2021, 29 (03): : 637 - 645
  • [45] Adaptive Tuning of the Unscented Kalman Filter for Satellite Attitude Estimation
    Soken, Halil Ersin
    Sakai, Shin-ichiro
    JOURNAL OF AEROSPACE ENGINEERING, 2015, 28 (03)
  • [46] A novel approach for aiding unscented Kalman filter for bridging GNSS outages in integrated navigation systems
    Al Bitar, Nader
    Gavrilov, Alexander
    NAVIGATION-JOURNAL OF THE INSTITUTE OF NAVIGATION, 2021, 68 (03): : 521 - 539
  • [47] Adaptive unscented Kalman filter based on sequential state difference for spacecraft autonomous navigation during the approach phase
    Zhang, Wenjia
    Ma, Xin
    Wang, Shuting
    Cui, Peiling
    Ning, Xiaolin
    MEASUREMENT, 2025, 243
  • [48] Distributed Extended Kalman Filter for Position, Velocity, Time Estimation in Satellite Navigation Receivers
    Jakubov, Ondrej
    Kovar, Pavel
    Kacmarik, Petr
    Vejrazka, Frantisek
    RADIOENGINEERING, 2013, 22 (03) : 776 - 790
  • [49] A Novel Polarized Skylight Navigation Model for Bionic Navigation With Marginalized Unscented Kalman Filter
    Dou, Qingfeng
    Du, Tao
    Wang, Shanpeng
    Yang, Jian
    Guo, Lei
    IEEE SENSORS JOURNAL, 2022, 22 (05) : 4472 - 4483
  • [50] Positioning Accuracy Improvement of Laser Navigation Using Unscented Kalman Filter
    Kim, Jungmin
    Jung, Kyunghoon
    Kim, Jaeyong
    Song, Hajun
    Kim, Sungshin
    INTELLIGENT AUTONOMOUS SYSTEMS 12, VOL 1, 2013, 193 : 807 - 816
12345