CLC number: V44
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2020-07-21
Cited: 0
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Kai Chen, Wen-chao Liang, Ming-xin Liu, Han-yan Sun. Comparison of geomagnetic aided navigation algorithms for hypersonic vehicles[J]. Journal of Zhejiang University Science A, 2020, 21(8): 673-683.
@article{title="Comparison of geomagnetic aided navigation algorithms for hypersonic vehicles",
author="Kai Chen, Wen-chao Liang, Ming-xin Liu, Han-yan Sun",
journal="Journal of Zhejiang University Science A",
volume="21",
number="8",
pages="673-683",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1900648"
}
%0 Journal Article
%T Comparison of geomagnetic aided navigation algorithms for hypersonic vehicles
%A Kai Chen
%A Wen-chao Liang
%A Ming-xin Liu
%A Han-yan Sun
%J Journal of Zhejiang University SCIENCE A
%V 21
%N 8
%P 673-683
%@ 1673-565X
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1900648
TY - JOUR
T1 - Comparison of geomagnetic aided navigation algorithms for hypersonic vehicles
A1 - Kai Chen
A1 - Wen-chao Liang
A1 - Ming-xin Liu
A1 - Han-yan Sun
J0 - Journal of Zhejiang University Science A
VL - 21
IS - 8
SP - 673
EP - 683
%@ 1673-565X
Y1 - 2020
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1900648
Abstract: In this paper, we simulate, verify, and compare the performance of three classical geomagnetic matching aided navigation algorithms to assess their applicability to hypersonic vehicle navigation. Firstly, we introduce the various sources of the geomagnetic field. Secondly, we describe the principles and processes of the geomagnetic contour matching (MAGCOM) algorithm, iterative closest contour point (ICCP) algorithm, and Sandia inertial magnetic aided navigation (SIMAN) algorithm. Thirdly, we discuss the principles of inertial/geomagnetic integrated navigation, and propose the state and observation equations of integrated navigation. Finally, we perform a simulation of inertial/geomagnetic integrated navigation on the hypersonic boost-glide vehicle trajectory. The simulation results indicate that the real-time performance of the SIMAN algorithm can be optimized such that the matching accuracy is higher than that of the other two algorithms. At the same time, the SIMAN algorithm can achieve better stability, and though the amount of measurement noise can be larger, it can still achieve good positioning accuracy.
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