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Attitude Optimization for Onboard Localization in Array Based Satellite Systems

delete2024-01-01
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PRE
AI
Y
Yilun Liu
L
Lidong Zhu
X
Xiaojun Yuan *
DOI：10.1109/LSP.2024.3351071delete
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Abstract

Abstract

En 中文
In this letter, we propose a novel method to improve the localization accuracy for an array based satellite system, where we aim at minimizing the Cramer-Rao lower bound (CRLB) of the position by adjusting the attitude of the satellite. The Lie group method is adopted to provide an unconstrained representation of the rotation operation, which avoids using the conventional orthogonal matrix representation. Then the problem can be solved by gradient based methods. The proposed method has lower complexity than the traditional manifold method. Numerical simulations verify the effectiveness of our proposed approach.
Keywords:
Satellite array
onboard localization
attitude optimization

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

No organization information available