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A novel marine star tracker/IMU integrated navigation method

  • Xingchen Lin*
  • , Wei Gao
  • , Guang Jin
  • , Xiubin Yang
  • , Lu Dai
  • , Guowei Fan
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Inertial navigation system (INS)/celestial navigation system (CNS) integrated navigation is the efficient means of marine navigation. The horizon reference accuracy is the most important factor for star tracker positioning, however, few methods of celestial horizon references for marine navigation are accurate enough, which immediately reduce the navigation performance. A marine strapdown INS/CNS/Gyrocompass which consists of star tracker and inertial measurement unit (IMU) is presented in this paper. In our proposed method, a new strapdown gyrocompass algorithm in inertial space is proposed, it could observe the pure gravity slow drift in the inertial to give the navigation frame rotation, then provide high precision tilts for star tracker positioning without oscillation error, which is much better than the attitudes provided by strapdown INS algorithm. The gyrocompass algorithm is conducted in IMU as well as strapdown INS algorithm simultaneously, then system errors are estimated with the measurement of position differences based on Kalman filter. Simulation results show that the proposed novel method could make full use of IMU and star tracker information to achieve higher navigation accuracy for the long-endurance vessel sailing.

Original languageEnglish
Pages (from-to)595-605
Number of pages11
JournalJournal of Computational Information Systems
Volume11
Issue number2
DOIs
StatePublished - 15 Jan 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Celestial navigation system (CNS)
  • Gyrocompass
  • Inertial measurement unit (IMU)
  • Inertial space
  • Star tracker
  • Strapdown inertial navigation system (INS)

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