CLC number: V44
On-line Access: 2021-05-12
Received: 2020-11-09
Revision Accepted: 2021-03-15
Crosschecked: 2021-04-14
Cited: 0
Clicked: 3253
Kai Chen, Wen-chao Liang, Cheng-zhi Zeng, Rui Guan. Multi-geomagnetic-component assisted localization algorithm for hypersonic vehicles[J]. Journal of Zhejiang University Science A, 2021, 22(5): 357-368.
@article{title="Multi-geomagnetic-component assisted localization algorithm for hypersonic vehicles",
author="Kai Chen, Wen-chao Liang, Cheng-zhi Zeng, Rui Guan",
journal="Journal of Zhejiang University Science A",
volume="22",
number="5",
pages="357-368",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2000524"
}
%0 Journal Article
%T Multi-geomagnetic-component assisted localization algorithm for hypersonic vehicles
%A Kai Chen
%A Wen-chao Liang
%A Cheng-zhi Zeng
%A Rui Guan
%J Journal of Zhejiang University SCIENCE A
%V 22
%N 5
%P 357-368
%@ 1673-565X
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2000524
TY - JOUR
T1 - Multi-geomagnetic-component assisted localization algorithm for hypersonic vehicles
A1 - Kai Chen
A1 - Wen-chao Liang
A1 - Cheng-zhi Zeng
A1 - Rui Guan
J0 - Journal of Zhejiang University Science A
VL - 22
IS - 5
SP - 357
EP - 368
%@ 1673-565X
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2000524
Abstract: Owing to the lack of information about geomagnetic anomaly fields, conventional geomagnetic matching algorithms in near space are prone to divergence. Therefore, geomagnetic matching navigation algorithms for hypersonic vehicles are also prone to divergence or mismatch. To address this problem, we propose a multi-geomagnetic-component assisted localization (MCAL) algorithm to improve positioning accuracy using only the information of the main geomagnetic field. First, the main components of the geomagnetic field and a mathematical representation of the Earth’s geomagnetic field (World Magnetic Model 2015) are introduced. The mathematical relationships between the geomagnetic components are given, and the source of geomagnetic matching error is explained. We then propose the MCAL algorithm. The algorithm uses the intersections of the isopleths of the geomagnetic components and a decision method to estimate the real position of a carrier with high positioning accuracy. Finally, inertial/geomagnetic integrated navigation is simulated for hypersonic boost-glide vehicles. The simulation results demonstrate that the proposed algorithm can provide higher positioning accuracy than conventional geomagnetic matching algorithms. When the random error range is ±30 nT, the average absolute latitude error and longitude error of the MCAL algorithm are 151 m and 511 m lower, respectively, than those of the Sandia inertial magnetic aided navigation (SIMAN) algorithm.
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