A Rotation-Invariant Additive Vector Sequence Based Star Pattern Recognition

被引：17
|
作者：
Mehta, Deval Samirbhai [1 ]
Chen, Shoushun [1 ]
Low, Kay-Soon [2 ]
机构：
[1] Nanyang Technol Univ, Singapore 639798, Singapore
[2] Natl Univ Singapore, Singapore 119077, Singapore
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2019年 / 55卷 / 02期
基金：
新加坡国家研究基金会;
关键词：
GRID ALGORITHM; ATTITUDE;
D O I：
10.1109/TAES.2018.2864431
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
A novel star pattern recognition technique for a "Lost-in-space" mode star tracker is presented in this paper. First, the two-dimensional (2-D) vectors connecting the stars are constructed in a rotationinvariant frame. Later, the additive property of 2-D vectors is integrated with the rotation-invariant frame to build a vector sequence for star identification. The proposed technique achieves an identification accuracy of 98.7% and has a run-time of only 12 ms for real-time testing on star images.
引用
收藏
页码：689 / 705
页数：17
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