SINS/CNS Integration Algorithm and Simulations for Extended Time Flights using Linearized Kalman Filtering

被引：0
|
作者：
Badshah, Khan [1 ]
Qin Yongyuan [1 ]
Zhang, Jinliang [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Automat, Xian 710072, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN) | 2015年
关键词：
Celestial navigation system; Strapdown inertial navigation system; integrated navigation; Kalman filtering; charge coupled device; star sensor; and simulations;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A robust integration algorithm for Strapdown Inertial Navigation System/Celestial Navigation System (SINS/CNS) is designed and investigated in this paper. The main objective of the developed integration scheme is the estimation and correction of unacceptable SINS' errors in long time navigation missions. A Narrow Field of View (NFOV) star tracker is used as a CNS aid in this study. A mathematical model is designed to estimate the platform misalignment angles and transformations of different frames are exercised. Linearized Kalman Filter (LKF), with a modified measurement model, encompassing the position errors, is proposed for fusing the data of SINS and CNS. Finally, simulation results are produced to show the integrity and validity of the integration algorithm for estimation and correction of the SINS errors in extended time flights.
引用
收藏
页码：33 / 37
页数：5
相关论文
共 50 条
  • [31] MODIFIED EXTENDED KALMAN FILTERING AND A PEAL-TIME PARALLEL ALGORITHM FOR SYSTEM PARAMETER-IDENTIFICATION
    PARK, ST
    LEE, JG
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1995, 40 (09) : 1661 - 1662
  • [32] MODIFIED EXTENDED KALMAN FILTERING AND A REAL-TIME PARALLEL ALGORITHM FOR SYSTEM PARAMETER-IDENTIFICATION
    CHUI, CK
    CHEN, GR
    CHUI, HC
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1990, 35 (01) : 100 - 104
  • [33] INS/GPS integration using parallel Kalman filtering
    Hajiyev, C
    Tutucu, MA
    AUTOMATIC CONTROL IN AEROSPACE 2001, 2002, : 453 - 458
  • [34] Lithium Battery SOC Estimation Based on Extended Kalman Filtering Algorithm
    Li Haoran
    Li Liangdong
    Zheng Xiaoyin
    Sun Mingxuan
    2018 IEEE 4TH INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE 2018), 2018, : 231 - 235
  • [35] Improvement of the PEST parameter estimation algorithm through Extended Kalman Filtering
    Goegebeur, Maarten
    Pauwels, Valentijn R. N.
    JOURNAL OF HYDROLOGY, 2007, 337 (3-4) : 436 - 451
  • [36] Equivalence of JST Algorithm and Kalman Filtering Algorithm for Time Scale Generation
    Yan, Yuyue
    Kawaguchi, Takahiro
    Yano, Yuichiro
    Hanado, Yuko
    Ishizaki, Takayuki
    IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication, ISPCS, 2023,
  • [37] UKF filtering algorithm for SINS/CNS/GNSS integrated navigation in launch inertial coordinate system
    Qiao Yuxin
    Lin Xueyuan
    Zhang Jisong
    Chen Xiangguang
    CHINESE SPACE SCIENCE AND TECHNOLOGY, 2021, 41 (05) : 103 - 109
  • [38] Comparison of Simple DME/DME Positioning Method and Augmentation Using Extended Kalman Filtering, Unscented Kalman Filtering and Particle Filtering
    Strecha, Petr
    Makula, Petr
    2019 IEEE/AIAA 38TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), 2019,
  • [39] Online pathological tremor characterization using extended Kalman filtering
    Bo, Antonio P. L.
    Poignet, Philippe
    Widjaja, Ferdinan
    Ang, Vvei T.
    2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, : 1753 - +
  • [40] Neural speech enhancement using dual extended Kalman filtering
    Nelson, AT
    Wan, EA
    1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, 1997, : 2171 - 2175
12345