TY - GEN
T1 - Terrain relative navigation enhanced with sar for moon’s shadowed regions
AU - Hidaka, Moeko
AU - Takahashi, Masaki
AU - Ishida, Takayuki
AU - Fukuda, Seisuke
N1 - Funding Information:
The crater extraction algorithm used in this study was developed in the Hiroyuki Kamata Lab at Meiji University in collaboration with Japan Aerospace Exploration Agency (JAXA). We thank everyone who was involved.
Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
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U2 - 10.2514/6.2020-0946
DO - 10.2514/6.2020-0946
M3 - Conference contribution
AN - SCOPUS:85091937004
SN - 9781624105951
T3 - AIAA Scitech 2020 Forum
BT - AIAA Scitech 2020 Forum
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Scitech Forum, 2020
Y2 - 6 January 2020 through 10 January 2020
ER -