Abstract Aeromagnetic compensation is one of the key issues in high-precision geomagnetic flight carrier navigation, directly determining the accuracy and reliability of real-time magnetic measurement data. The accurate modeling and compensation of interference magnetic measurements on carriers are of great significance for the construction of reference and real-time maps for geomagnetic navigation. Current research on aeromagnetic compensation algorithms mainly focuses on accurately modeling interference magnetic fields from model- and data-driven perspectives based on measured aeromagnetic data. Challenges in obtaining aeromagnetic data and low information complexity adversely affect the generalization performance of a constructed model. To address these issues, a recursive least square algorithm based on elastic weight consolidation is proposed, which effectively suppresses the occurrence of catastrophic forgetting by controlling the direction of parameter updates. Experimental verification with publicly available aeromagnetic datasets shows that the proposed algorithm can effectively circumvent historical information loss caused by interference magnetic field models during parameter updates and improve the stability, robustness, and accuracy of interference magnetic fi eld models.
Fund: This work was supported by the National Natural Science Foundation of China under Grant 61673017 and in part by the Science and Technology Department of Shaanxi Province under Grant 2024JC-YBQN-0657.
About author: Xiaoyu Ma holds a master’s degree in control science and engineering, which he received from Rocket Force University, Xi’an,China, in 2020. He is currently pursuing a Ph.D. degree in control science and engineering at Rocket Force University of Engineering, Xi’an, China. His current research interests include geomagnetic navigation, geomagnetic reference map construction, and magnetic calibration.
Cite this article:
. Aeromagnetic Compensation Method Based on Recursive Least Square and Elastic Weight Consolidation[J]. APPLIED GEOPHYSICS, 2025, 22(2): 279-290.
2025, Vol. 22 
