Decreasing Noise in Magnetic Anomaly Detection Basing on Wavelet Denoising

Jian Jun Zhou; Chun Sheng Lin; Yin Chun Huan

doi:10.4028/www.scientific.net/AMM.368-370.1860

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 368-370Decreasing Noise in Magnetic Anomaly Detection...

Decreasing Noise in Magnetic Anomaly Detection Basing on Wavelet Denoising

Abstract:

Abstract. In the field of magnetic anomaly detection(MAD) under ocean, oceanic waves produce magnetic noise which cannot be ignored. An AR model is used to describe the noise at first. Then the MAD model is built basing on the magnetic dipole model. Finally, a method for decreasing the noise in MAD basing on wavelet denoising is proposed. According to simulation, the way of wavelet denosing has obvious effect on decreasing the noise and increasing SNR.

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Periodical:

Applied Mechanics and Materials (Volumes 368-370)

Pages:

1860-1863

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.368-370.1860

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Online since:

August 2013

Authors:

Jian Jun Zhou, Chun Sheng Lin, Yin Chun Huan

Keywords:

AR Model, MAD, Simulation, Wavelet Denoising

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References

[1] Lin Chun-sheng, Gong Shen-guang. Ship's physical field[M]. Beijing: Weapon Industry Press, (2007).

Google Scholar

[2] Ling Chun-sheng, Deng Da-xin , Ren De-kui. Adaptive AR model prediction filtering for ship hydraulic pressure signal on wind wave background. ACTA OCEANOLOGICA SINICA, vol 26, pp.134-137, July 2004. (in Chinese).

Google Scholar

[3] Ling Chun-sheng, Deng Da-xin , Gong Shen-guang. Adaptive Filtering for Short-time Dynamic Signal On Stationary Noise Background. Journal of Wuhan University of Technology. vol 28, pp.479-481, July 2004. (in Chinese).

Google Scholar

[4] Sheinker A, Shkalim A, Salomonski N. Processing of a scalar magnetometer signal contaminated by 1/fα noise [J]. Sensors and Actuators A, 2007, 138：105-111.

DOI: 10.1016/j.sna.2007.04.018

Google Scholar