TY - GEN
T1 - A Novel Adaptability Analysis Method of Gravity Matching Area
AU - Zhang, Wenzhe
AU - Deng, Zhihong
AU - Shi, Lei
N1 - Publisher Copyright:
© 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - The positioning accuracy of gravity matching is closely related to the distribution of gravity anomaly in matching area. Matching area selection is the key to improve the gravity matching accuracy. In this paper, a novel analysis method for matching area selection is proposed to solve the problem that the existing methods show strong subjectivity and ignore the directions. Firstly, the existing gravity characteristic parameters were selected by correlation analysis. Then a basic adaptability factor was built by combining the selected parameters through the subjective and objective weighting method. Finally direction factors were added to build comprehensive characteristic parameters in four main directions through multiple linear regression. Simulation result shows that the average matching rate is larger than 0.7 in the matching area selected by comprehensive characteristic parameters and the matching rate rank of different directions is consistent with comprehensive characteristic parameters rank in local area. The proposed comprehensive characteristic parameters can effectively value the adaptability of matching area in different directions.
AB - The positioning accuracy of gravity matching is closely related to the distribution of gravity anomaly in matching area. Matching area selection is the key to improve the gravity matching accuracy. In this paper, a novel analysis method for matching area selection is proposed to solve the problem that the existing methods show strong subjectivity and ignore the directions. Firstly, the existing gravity characteristic parameters were selected by correlation analysis. Then a basic adaptability factor was built by combining the selected parameters through the subjective and objective weighting method. Finally direction factors were added to build comprehensive characteristic parameters in four main directions through multiple linear regression. Simulation result shows that the average matching rate is larger than 0.7 in the matching area selected by comprehensive characteristic parameters and the matching rate rank of different directions is consistent with comprehensive characteristic parameters rank in local area. The proposed comprehensive characteristic parameters can effectively value the adaptability of matching area in different directions.
KW - Characteristic parameter
KW - Gravity matching
KW - Matching area selection
KW - Subjective and objective weighting method
UR - http://www.scopus.com/inward/record.url?scp=85120606486&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-8155-7_458
DO - 10.1007/978-981-15-8155-7_458
M3 - Conference contribution
AN - SCOPUS:85120606486
SN - 9789811581540
T3 - Lecture Notes in Electrical Engineering
SP - 5539
EP - 5550
BT - Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
A2 - Yan, Liang
A2 - Duan, Haibin
A2 - Yu, Xiang
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Guidance, Navigation and Control, ICGNC 2020
Y2 - 23 October 2020 through 25 October 2020
ER -