The direction vector assisted INS/spectral redshift integrated navigation system for spacecraft

被引:1
作者
Peng, Xu [1 ]
Li, Yan [1 ]
Hu, Gaoge [1 ]
Gao, Guangle [2 ]
机构
[1] Northwestern Polytech Univ, Sch Automat, Xian, Peoples R China
[2] Xian Univ Technol, Sch Automat & Informat Engn, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
celestial navigation; spectral redshift navigation; direction vector; integrated navigation; KALMAN FILTER;
D O I
10.1088/1361-6501/ad6175
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A reliable and autonomous navigation system is crucial for achieving high survivability of spacecraft. As a novel autonomous navigation system, an inertial/spectral redshift (INS/SRS) integrated navigation system can correct the navigation errors of INS through redshift and direction vector information from celestial bodies. However, since SRS needs to obtain position measurements by integrating the velocity information of the spacecraft, the position error from INS/SRS diverges. Therefore, this paper investigates a direction vector-assisted INS/SRS integrated navigation system for spacecraft. It examines the relationship among the position of the spacecraft, redshift, and direction vectors from celestial bodies. Then, a direction vector-assisted SRS is proposed, which can solve the position information of spacecraft directly by using redshift and direction vector information. Finally, the direction vector-assisted SRS is combined with INS to form the direction vector-assisted INS/SRS integrated navigation system. Simulations and comprehensive analysis demonstrate that the proposed integrated navigation system has better performance than the conventional INS/SRS integrated navigation system.
引用
收藏
页数:11
相关论文
共 32 条
  • [1] Inertial-Based Integration With Transformed INS Mechanization in Earth Frame
    Chang, Lubin
    Di, Jingbo
    Qin, Fangjun
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 27 (03) : 1738 - 1749
  • [2] A Novel Autonomous Celestial Integrated Navigation for Deep Space Exploration Based on Angle and Stellar Spectra Shift Velocity Measurement
    Chen, Xiao
    Sun, Zhaowei
    Zhang, Wei
    Xu, Jun
    [J]. SENSORS, 2019, 19 (11):
  • [3] Folkner W.M., 2014, IPN Progress Report, V196, P42
  • [4] Iterative spherical simplex unscented particle filter for CNS/Redshift integrated navigation system
    Fu, Kui
    Zhao, Guangqiong
    Li, Xiajing
    Tang, Zhong-Liang
    He, Wei
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (04)
  • [5] Fu K, 2015, CHIN CONTR CONF, P5194, DOI 10.1109/ChiCC.2015.7260449
  • [6] Mahalanobis distance-based fading cubature Kalman filter with augmented mechanism for hypersonic vehicle INS/CNS autonomous integration
    Gao, Bingbing
    LI, Wenmin
    Hu, Gaoge
    Zhong, Yongmin
    Zhu, Xinhe
    [J]. CHINESE JOURNAL OF AERONAUTICS, 2022, 35 (05) : 114 - 128
  • [7] Tightly coupled INS/CNS/spectral redshift integrated navigation system with the aid of redshift error measurement
    Gao, GuangLe
    Gao, SheSheng
    Hu, GaoGe
    Zhong, YongMin
    Peng, Xu
    [J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 66 (09) : 2597 - 2610
  • [8] Maximum Correntropy Based Spectral Redshift Estimation for Spectral Redshift Navigation
    Gao, Guangle
    Zhong, Yongmin
    Gao, Zhaohui
    Zong, Hua
    Gao, Shesheng
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
  • [9] A Hypothesis Test-Constrained Robust Kalman Filter for INS/GNSS Integration With Abnormal Measurement
    Gao, Guangle
    Gao, Bingbing
    Gao, Shesheng
    Hu, Gaoge
    Zhong, Yongmin
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (02) : 1662 - 1673
  • [10] Double-Channel Sequential Probability Ratio Test for Failure Detection in Multisensor Integrated Systems
    Gao, Guangle
    Zhong, Yongmin
    Gao, Shesheng
    Gao, Bingbing
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70