Terrain relative navigation enhanced with sar for moon’s shadowed regions

Moeko Hidaka, Masaki Takahashi, Takayuki Ishida, Seisuke Fukuda

研究成果: Conference contribution

抄録

This study proposes a terrain relative navigation (TRN) method to estimate spacecraft positions in the shadowed regions of the moon with high precision by combining the camera image and the synthetic aperture radar (SAR) data. TRN, which estimates the position of a spacecraft by comparing the preliminary terrain information stored in a database with the observed terrain, is an effective method of correcting the drift errors of inertial measurement units (IMUs). Optical cameras are primarily used for TRN sensors to observe the terrain; however, shadow images do not have enough characteristic points to match with the database. SAR is a form of radar that can generate high-resolution photo-like images, regardless of light conditions. In this study, we propose the use of SAR as navigation sensors and demonstrate effectiveness of SAR.

本文言語English
ホスト出版物のタイトルAIAA Scitech 2020 Forum
出版社American Institute of Aeronautics and Astronautics Inc, AIAA
ISBN(印刷版)9781624105951
DOI
出版ステータスPublished - 2020
イベントAIAA Scitech Forum, 2020 - Orlando, United States
継続期間: 2020 1 62020 1 10

出版物シリーズ

名前AIAA Scitech 2020 Forum
1 PartF

Conference

ConferenceAIAA Scitech Forum, 2020
CountryUnited States
CityOrlando
Period20/1/620/1/10

ASJC Scopus subject areas

  • Aerospace Engineering

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