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
  • [21] Nonlinear Cubature Kalman Filter for Satellite Autonomous Navigation System with Astronomical Information
    Wang, Jiongqi
    Chen, Yuyun
    Hou, Bowen
    Deng, Guanghui
    He, Zhangming
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 4532 - 4536
  • [22] Unscented Kalman Filter for DR/GPS Integrated Navigation System
    Han, Yongqiang
    Chen, Jiabin
    Liu, Zhide
    Zhao, Dunhui
    Song, Chunlei
    Yin, Jingyuan
    NANOTECHNOLOGY AND COMPUTER ENGINEERING, 2010, 121-122 : 750 - +
  • [23] Navigation with IMU/GPS/digital compass with unscented Kalman filter
    Zhang, Pifu
    Gu, Jason
    Milios, Evangelos E.
    Huynh, Peter
    2005 IEEE International Conference on Mechatronics and Automations, Vols 1-4, Conference Proceedings, 2005, : 1497 - 1502
  • [24] Adaptive Robust Unscented Kalman Filter for AUV Acoustic Navigation
    Wang, Junting
    Xu, Tianhe
    Wang, Zhenjie
    SENSORS, 2020, 20 (01)
  • [25] 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
  • [26] Angles-Only Relative Navigation in Spherical Coordinates Using Unscented Kalman Filter
    Han, Fei
    Wang, Zhaolong
    Han, Yu
    Liu, Chaozhen
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 3444 - 3451
  • [27] 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
  • [28] 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
  • [29] Unscented Kalman filter with nonlinear dynamic process modeling for GPS navigation
    Jwo, Dah-Jing
    Lai, Chun-Nan
    GPS SOLUTIONS, 2008, 12 (04) : 249 - 260
  • [30] Predictive vision from stereo video: Robust object detection for autonomous navigation using the Unscented Kalman Filter on streaming stereo images
    Rosselot, Donald
    Aull, Mark
    Hall, Ernest L.
    INTELLIGENT ROBOTS AND COMPUTER VISION XXVII: ALGORITHMS AND TECHNIQUES, 2010, 7539
12345