A New Celestial Positioning Model Based on Robust Estimation

被引：1
|
作者：
Li, Chonghui [1 ]
Zheng, Yong [1 ]
Li, Zhuyang [1 ]
Yu, Liang [2 ]
Wang, Yonghai [1 ]
机构：
[1] Zhengzhou Inst Surveying & Mapping, Zhengzhou 450052, Henan, Peoples R China
[2] Zhengzhou Inst Surveying & Mapping, Xian 710054, Shaanxi, Peoples R China
来源：
CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2013 PROCEEDINGS: PRECISE ORBIT DETERMINATION & POSITIONING, ATOMIC CLOCK TECHNIQUE & TIME-FREQUENCY SYSTEM, INTEGRATED NAVIGATION & NEW METHODS | 2013年 / 245卷
关键词：
Robust estimation; Celestial navigation; Equal weights; Positioning;
D O I：
10.1007/978-3-642-37407-4_45
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
A large field of vision (FOV) star sensor can be used to image multiple celestial bodies at the same time, and then through center extraction of the star point and star patterns matching to realize navigation and positioning. The FOV based method has gradually become the main way of celestial navigation. However, in the process of center extraction, mistakenly identifying image noise as the star point and encountering some abnormal coordinate errors are inevitable. Meanwhile, in the process of star patterns matching, wrong matches are always encountered too. To solve these problems, this paper introduces the Robust Estimation for the first time, and based on it a celestial positioning model is established. The experiment shows that the model can effectively exclude the impact of noise and wrong patching, limit the abnormal observations, and take full advantage of high-precision observation information, by which positioning accuracy is increased from 4.05 '' to 1.15 ''.
引用
收藏
页码：479 / 487
页数：9
相关论文
共 50 条
  • [41] A new model and method of terrain-aided positioning confidence interval estimation
    Wang Rupeng
    Li Ye
    Ma Teng
    Cong Zheng
    Gong Yusen
    Jiang Yanqing
    Zhang Qiang
    Journal of Marine Science and Technology, 2022, 27 : 27 - 39
  • [42] A new model and method of terrain-aided positioning confidence interval estimation
    Wang Rupeng
    Li Ye
    Ma Teng
    Cong Zheng
    Gong Yusen
    Jiang Yanqing
    Zhang Qiang
    JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 2022, 27 (01) : 27 - 39
  • [43] A Robust Position Estimation Algorithm for a Local Positioning Measurement System
    Pfeil, R.
    Schuster, S.
    Scherz, P.
    Stelzer, A.
    Stelzhammer, G.
    IEEE MTT S INTERNATIONAL MICROWAVE WORKSHOP SERIES ON WIRELESS SENSING, LOCAL POSITIONING, AND RFID (IMWS 2009-CROATIA), 2009, : 9 - +
  • [44] A robust image segmentation model based on integrated square estimation
    Xie, Shuisheng
    Liu, Jundong
    Berryman, Darlene
    List, Edward
    Smith, Charles
    Chebrolu, Hima
    ADVANCES IN VISUAL COMPUTING, PROCEEDINGS, PT 2, 2007, 4842 : 643 - +
  • [45] Robust depth-based estimation in the time warping model
    Arribas-Gil, Ana
    Romo, Juan
    BIOSTATISTICS, 2012, 13 (03) : 398 - 414
  • [46] Robust estimation and outlier detection based on linear regression model
    Cui, Le
    Cheng, Libo
    Jiang, Xiaoming
    Chen, Zhanfang
    Albarka
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (04) : 4657 - 4664
  • [47] Hierarchical model based robust global motion estimation technique
    Dilmurat, Tursun
    Askar, Hamdulla
    Jisuanji Gongcheng/Computer Engineering, 2005, 31 (17): : 136 - 138
  • [48] Towards a robust estimation of orientation parameters between ICRF and Gaia celestial reference frames
    Malkin, Zinovy
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021, 506 (04) : 5540 - 5547
  • [49] Robust face model based approach to head pose estimation
    Fornalczyk, Krzysztof
    Wojciechowski, Adam
    PROCEEDINGS OF THE 2017 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2017, : 1291 - 1295
  • [50] Robust Bayesian Regularized Estimation Based on t Regression Model
    Li, Zean
    Zhao, Andweihua
    JOURNAL OF PROBABILITY AND STATISTICS, 2015, 2015
12345