Abstract
Geomagnetic signals are susceptible to random magnetic signals and short-term, high-amplitude magnetic signals. These interferences can bring nonlinear error and degrade the navigation accuracy. Traditional Empirical Mode Decomposition (EMD) can reduce the nonlinear error of geomagnetic signal. However, with the mode mixing and the poor stability of finding dividing point by using energy criterion, traditional EMD filter is limited. In this paper, multi-scale eigenvalues EMD (ME-EMD) is proposed. To solve the problem of mode mixing, multi-scale eigenvalues are analyzed to extract the interference signal. To find the precise dividing point, autocorrelation ratio is defined. ME-EMD estimates the SNR of intrinsic mode function (IMF) and finds the dividing point. Experiments demonstrate that ME-EMD can restrain the mode mixing and find the optimal dividing point, and the filter effect of ME-EMD is better than EMD with morphology, and Modified Ensemble EMD, etc., when the geomagnetic signal is interfered by transient signal. ME-EMD reduced the Root Mean Square Error from 23.3041 µT to 1.2689 µT.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
