Open AccessOn-orbit calibration for star sensors without priori information
Author(s) -
Hao Zhang,
Yanxiong Niu,
Jiazhen Lu,
Chengfen Zhang,
Yanqiang Yang
Publication year - 2017
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.25.018393
Subject(s) - a priori and a posteriori , calibration , computer science , extended kalman filter , kalman filter , robustness (evolution) , initialization , orbit (dynamics) , orbit determination , distortion (music) , spacecraft , control theory (sociology) , artificial intelligence , physics , aerospace engineering , engineering , bandwidth (computing) , telecommunications , global positioning system , control (management) , amplifier , philosophy , biochemistry , chemistry , epistemology , quantum mechanics , gene , programming language
The star sensor is a prerequisite navigation device for a spacecraft. The on-orbit calibration is an essential guarantee for its operation performance. However, traditional calibration methods rely on ground information and are invalid without priori information. The uncertain on-orbit parameters will eventually influence the performance of guidance navigation and control system. In this paper, a novel calibration method without priori information for on-orbit star sensors is proposed. Firstly, the simplified back propagation neural network is designed for focal length and main point estimation along with system property evaluation, called coarse calibration. Then the unscented Kalman filter is adopted for the precise calibration of all parameters, including focal length, main point and distortion. The proposed method benefits from self-initialization and no attitude or preinstalled sensor parameter is required. Precise star sensor parameter estimation can be achieved without priori information, which is a significant improvement for on-orbit devices. Simulations and experiments results demonstrate that the calibration is easy for operation with high accuracy and robustness. The proposed method can satisfy the stringent requirement for most star sensors.