Title :
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
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;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4673-0088-9
DOI :
10.1109/CSAE.2012.6272634
