Kalman Filter Processing Applications for Motion Noise

Xing Dong Zhang; Xiao Hong Meng; Liang Hui Guo

doi:10.4028/www.scientific.net/AMM.644-650.3964

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Controllable Four-Wave Mixing Signal inside a Cascade Three-Level Atomic System
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Integration Frequency Response of Human Dynamic Anterior-Posterior Balance under Passive Motion Stimulus
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Identification Method of Pavement Crack Based on Topology Contravariant
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Kalman Filter Processing Applications for Motion Noise
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An Approach of Traffic Sign Recognition Algorithm on MATLAB
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Kalman Filter Processing Applications for Motion...

Kalman Filter Processing Applications for Motion Noise

Abstract:

In geophysics exploration, using gradient tensor instead of the full magnetic field gradient has many advantages, which magnetic gradient tensor data to better describe small anomalies. However, the measurement of magnetic gradiometer contains a very complex motion noise, separating the motion noise from the signal component is a large challenge. In this paper, we show the expression for the magnetic gradient tensor, and then through model tests proved the Kalman filter good filtering effect.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

3964-3967

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.3964

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Online since:

September 2014

Authors:

Xing Dong Zhang*, Xiao Hong Meng, Liang Hui Guo

Keywords:

Geophysics, Kalman Filtering, Magnetic, Motion Noise

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* - Corresponding Author

References

[1] Schmidt P W, Clark D A. The magnetic gradient tensor: It's properties and uses in source characterization[J ] . The Leading Ed ge, 2006, 25 (1) : 75 - 78.

DOI: 10.1190/1.2164759

Google Scholar

[2] Information on http: /library. seg. org.

Google Scholar

[3] Qin Y Y, Zhang H Y, Wang S H. Kalman filter and Principle of Integrated Navigation. Xia. ：NorthWestern Polytechnical University Press, 1998.

Google Scholar

[4] Anderson, J. L., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Wea. Rev., 129, 2884–2903.

DOI: 10.1175/1520-0493(2001)129<2884:aeakff>2.0.co;2

Google Scholar

[5] Wynn W M, Frahm C P , Clark R H , et al. Advanced supercon-ducting gradiometer magnetometer arrays and a novel signal processing technique[J]. IEEE Transaction on magnetics , 1975 , 11(2) : 701 - 707.

DOI: 10.1109/tmag.1975.1058672

Google Scholar