Autonomous navigation algorithm based on star sensor and horizon sensor

Peng Wang, Yingchun Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Directly sensing horizon is simply and reliable based on the horizon sensor. The navigation precision is lower depended on horizon sensor mainly. In this paper autonomous navigation algorithm by using measurement information of star sensor and horizon sensor is presented. The high precision satellite motion model is presented firstly. On the one hand the measure information of star sensor and horizon sensor are used to determinate orbit parameters. On the other hand the measure information of horizon sensor is used to determinate orbit parameters. The paper present a new information fusion method of autonomous navigation algorithm by using both of the two methods based on EFK Federal Kalman Filter. The observation equation of two models is educed in detail. The results of computer simulation show that the proposed system can improve the navigation precision, robustness and reliability.

Original languageEnglish
Title of host publicationProceedings of the 27th Chinese Control Conference, CCC
Pages275-279
Number of pages5
DOIs
StatePublished - 2008
Externally publishedYes
Event27th Chinese Control Conference, CCC - Kunming, Yunnan, China
Duration: 16 Jul 200818 Jul 2008

Publication series

NameProceedings of the 27th Chinese Control Conference, CCC

Conference

Conference27th Chinese Control Conference, CCC
Country/TerritoryChina
CityKunming, Yunnan
Period16/07/0818/07/08

Keywords

  • Autonomous navigation
  • Federal kalman filter
  • Horizon sensor
  • Star sensor

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