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Energy detection based on undecimated discrete wavelet transform and its application in magnetic anomaly detection.

Nie X, Pan Z, Zhang D, Zhou H, Chen M, Zhang W - PLoS ONE (2014)

Bottom Line: Meanwhile the orthonormal wavelet decomposition can play the role of a Karhunen-Loève-type expansion to the 1/f-type signal by its decorrelation abilities, an effective energy detection method based on undecimated discrete wavelet transform (UDWT) is proposed in this paper.Finally, some simulations are performed and the results show that the detection performance of our proposed detector is better than that of the conventional energy detector even utilized in the Gaussian white noise, especially when the spectral parameter α is less than 1.0.In addition, a real-world experiment was done to demonstrate the advantages of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan, P. R. China.

ABSTRACT
Magnetic anomaly detection (MAD) is a passive approach for detection of a ferromagnetic target, and its performance is often limited by external noises. In consideration of one major noise source is the fractal noise (or called 1/f noise) with a power spectral density of 1/fa (0

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The conditioning circuit of the GMI magnetic sensor.
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pone-0110829-g003: The conditioning circuit of the GMI magnetic sensor.

Mentions: Recently, magnetic sensors have been extensively studied for many years because of their potential applications in nearly all engineering and industrial sectors, such as navigation, target detection and tracking, etc. [9], [10]. And the development of high performance magnetic sensors has benefited from the discovery of the giant magneto-impedance (GMI) effect which is well known as a magnetic phenomenon that a large change in the impedance (Z) of a ferromagnetic conductor (ribbon- or wire-shaped) with a small alternating current (I) can be achieved upon applying an external magnetic field (Hex) tangential to the length of the conductor [11]–[13]. Here, one possible conditioning circuit of the GMI magnetic sensor based on peak-detecting technology is illustrated in Fig. 3.


Energy detection based on undecimated discrete wavelet transform and its application in magnetic anomaly detection.

Nie X, Pan Z, Zhang D, Zhou H, Chen M, Zhang W - PLoS ONE (2014)

The conditioning circuit of the GMI magnetic sensor.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4208775&req=5

pone-0110829-g003: The conditioning circuit of the GMI magnetic sensor.
Mentions: Recently, magnetic sensors have been extensively studied for many years because of their potential applications in nearly all engineering and industrial sectors, such as navigation, target detection and tracking, etc. [9], [10]. And the development of high performance magnetic sensors has benefited from the discovery of the giant magneto-impedance (GMI) effect which is well known as a magnetic phenomenon that a large change in the impedance (Z) of a ferromagnetic conductor (ribbon- or wire-shaped) with a small alternating current (I) can be achieved upon applying an external magnetic field (Hex) tangential to the length of the conductor [11]–[13]. Here, one possible conditioning circuit of the GMI magnetic sensor based on peak-detecting technology is illustrated in Fig. 3.

Bottom Line: Meanwhile the orthonormal wavelet decomposition can play the role of a Karhunen-Loève-type expansion to the 1/f-type signal by its decorrelation abilities, an effective energy detection method based on undecimated discrete wavelet transform (UDWT) is proposed in this paper.Finally, some simulations are performed and the results show that the detection performance of our proposed detector is better than that of the conventional energy detector even utilized in the Gaussian white noise, especially when the spectral parameter α is less than 1.0.In addition, a real-world experiment was done to demonstrate the advantages of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan, P. R. China.

ABSTRACT
Magnetic anomaly detection (MAD) is a passive approach for detection of a ferromagnetic target, and its performance is often limited by external noises. In consideration of one major noise source is the fractal noise (or called 1/f noise) with a power spectral density of 1/fa (0

Show MeSH
Related in: MedlinePlus