A novel design of GMI magnetic sensor and its hybrid analysis

Author

Zhang, Lei ; Pan, Zhongming

Author_Institution

Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol, Nat. Univ. of Defense Technol., Changsha, China

Volume

1

fYear

2012

fDate

25-27 May 2012

Firstpage

444

Lastpage

447

Abstract

The peak detection method is the conventional way to design a giant magneto-impedance (GMI) magnetic sensor. However, it is difficult to extract the actual signal from the raw data outputted from the GMI probe when the signal-to-noise ratio (SNR) of the raw data is less than 0dB. Therefore, a novel design of GMI magnetic sensor and a hybrid analysis method of wavelet transform in combination with correlation analysis are proposed in this paper which are proved effective and able to process the raw data whose SNR is even -15dB.

Keywords

giant magnetoresistance; magnetic sensors; wavelet transforms; GMI magnetic sensor; GMI probe; SNR; actual signal extraction; giant magnetoimpedance magnetic sensor; hybrid analysis method; peak detection method; signal-to-noise ratio; wavelet transform; Amorphous magnetic materials; Correlation; Impedance; Magnetic fields; Magnetic sensors; Probes; Signal to noise ratio; GMI; MAD; hybrid analysis; magnetic sensor;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on

Conference_Location

Zhangjiajie

Print_ISBN

978-1-4673-0088-9

Type

conf

DOI

10.1109/CSAE.2012.6272634

Filename

6272634