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2017-04-05
Parabolic Trail OBF in Magnetic Anomaly Detection
By
Yao Fan,

    Dr. Yao Fan

    Key Laboratory of Electromagnetic Radiation and Sensing Technology

    Chinese Academy of Sciences

    China

    Homepage

Xiaojun Liu,

    Dr. Xiaojun Liu

    Institute of Electronics

    China

    Homepage

Guangyou Fang

    Professor Guangyou Fang

    Institute of Electronics, Chinese Academy of Sciences

    China

    Homepage

Progress In Electromagnetics Research B, Vol. 74, 23-35, 2017
doi:10.2528/PIERB16091301 | Google Scholar

Abstract
Magnetic anomaly detection (MAD) is to find hidden ferromagnetic objects, and a hidden object is often described as a magnetostatic dipole. Many detection methods are based on the orthonormal basis functions when the target moves along a straight line relatively to the magnetometer. A new kind of parabolic trail orthonormal basis functions (PTOBF) method is proposed to detect the magnetic target when the trajectory of the target is parabola. The simulation experiment confirms that the proposed method can detect the magnetic anomaly signals in white Gaussian noise when SNR is -15.56 dB. The proposed method is sensitive to the characteristic time and curvature. High detection probability and simple implementation of proposed method make it attractive for the real-time applications.
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Citation
Yao Fan, Xiaojun Liu, and Guangyou Fang, "Parabolic Trail OBF in Magnetic Anomaly Detection," Progress In Electromagnetics Research B, Vol. 74, 23-35, 2017.
doi:10.2528/PIERB16091301
References

1. Sheinker, A., N. Salomonski, B. Ginzburg, et al. "Magnetic anomaly detection using entropy filter," Measurement Science & Technology, 19, 2008.        Google Scholar

2. Sheinker, A., L. Frumkis, B. Ginzburg, et al. "Magnetic anomaly detection using a three-axis magnetometer," IEEE Transactions on Magnetics, Vol. 45, 160-167, 2009.
doi:10.1109/TMAG.2008.2006635        Google Scholar

3. Sheinker, A., B. Ginzburg, N. Salomonski, et al. "Magnetic anomaly detection using high-order crossing method," IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, 1095-1103, 2012.
doi:10.1109/TGRS.2011.2164086        Google Scholar

4. Sheinker, A., B. Lerner, N. Salomonski, et al. "Localization and magnetic moment estimation of a ferromagnetic target by simulated annealing," Measurement Science & Technology, Vol. 18, 3451-3457, 2007.
doi:10.1088/0957-0233/18/11/027        Google Scholar

5. Yu, H., S. Feng, and L.-H. Wu, "Synchronous correction of two three-axis magnetometers using FLANN," Sensors and Actuators A — Physical, Vol. 179, 312-318, 2012.
doi:10.1016/j.sna.2012.03.005        Google Scholar

6. Nie, X., Z. Pan, D. Zhang, et al. "Energy detection based on undecimated discrete wavelet transform and its application in magnetic anomaly detection," Plos One, Vol. 9, e110829-e110829, 2014.
doi:10.1371/journal.pone.0110829        Google Scholar

7. Nie, X. H., Z. M. Pan, and W. N. Zhang, "Wavelet based noise reduction for magnetic anomaly signal contaminated by 1/f noise," Advanced Materials Research, Vol. 889-890, 776-779, 2014.
doi:10.4028/www.scientific.net/AMR.889-890.776        Google Scholar

8. Zhou, J. J., C. S. Lin, and Y. C. Huan, "Decreasing noise in magnetic anomaly detection basing on wavelet denoising," Applied Mechanics & Materials, Vol. 368–370, 1860-1863, 2013.
doi:10.4028/www.scientific.net/AMM.368-370.1860        Google Scholar

9. Ke, M., P. Liao, and X. Song, "Real-time data mining in magnetic flux leakage detecting in boiler pipeline," International Conference on Digital Manufacturing & Automation, Vol. 2, 130-133, 2010.        Google Scholar

10. Wang, Y., F. Weihuang, and D. P. Agrawal, "Intrusion detection in Gaussian distributed wireless sensor networks," IEEE International Conference on Mobile Adhoc & Sensor Systems, 313-321, 2009.        Google Scholar

11. Zubaidah, T., B. Kanata, C. Ramadhani, et al. "Comprehensive geomagnetic signal processing for successful earthquake prediction,", 212-219, 2013.        Google Scholar

12. Sheinker, A., A. Shkalim, N. Salomonski, et al. "Processing of a scalar magnetometer signal contaminated by 1/fα noise," Sensors & Actuators A Physical, Vol. 138, 105-111, 2007.
doi:10.1016/j.sna.2007.04.018        Google Scholar

13. Ma, J. S., J. Jiao, C. Fang, et al. "High sensitive nonlinear modulation magnetoelectric magnetic sensors with a magnetostrictive metglas structure based on bell-shaped geometry," Journal of Magnetism and Magnetic Materials, Vol. 405, 225-230, 2016.
doi:10.1016/j.jmmm.2015.12.073        Google Scholar

14. Morag, Y., N. Tal, M. Nazarathy, et al. "Thermodynamic signal-to-noise and channel capacity limits of magnetic induction sensors and communication systems," IEEE Sensors Journal, Vol. 16, 1575-1585, 2016.
doi:10.1109/JSEN.2015.2506341        Google Scholar

15. Zhang, H. and M.-Y. Xia, "Magnetic anomaly detection for simultaneous moving target and magnetometer," Proceedings of 2014 3rd Asia-Pacific Conference on Antennas and Propagation (APCAP 2014), 884-888, IEEE, 2014.
doi:10.1109/APCAP.2014.6992641        Google Scholar

16. Kay, S. M., Fundamentals of Statistical Signal Processing: Detection Theory, Printice Hall PTR, 1998.

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