@inproceedings{b4a1ef7cd8344d2f9f3bd58a5c885e42,
title = "Geomagnetic reference map denoising based on singular entropy",
abstract = "To weaken the noise disturbance of GRM and improve the matching precision and matching probability of inertial/geomagnetic system, this paper proposed a method for denoising based on SVD. Firstly, from the perspective of information entropy, the singular entropy is introduced and the inner link between singular entropy and signal-to-noise ratio (SNR) is analyzed. Secondly, the method based on the asymptotic characteristic of the probabilities associated with the different singular values order (SVO) is proposed. Lastly, by utilizing practical GRM, the denoising analysis about the proposed method is demonstrated and later simulation experiments of GMN are accomplished. Simulation results show that the method is feasible and reliable.",
keywords = "Data analysis, Denoising, Geomagnetic matching navigation(GMN), Geomagnetic reference map(GRM), Singular entropy, Singular value decomposition (SVD)",
author = "Zhu, \{Zhan Long\} and Yang, \{Gong Liu\} and Wang, \{Yan Yong\} and Liu, \{Yuan Yuan\}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.543-547.912",
language = "英语",
isbn = "9783038350606",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications",
pages = "912--916",
booktitle = "Vehicle, Mechatronics and Information Technologies II",
address = "德国",
note = "International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2014 ; Conference date: 19-02-2014 Through 20-02-2014",
}