An Improved Tuning Control Algorithm Based on SVD for FID Signal
Huan Liu*,**,***, Hao Bin Dong*,***,†, Jian Ge*,***, Pei Pei Guo*, Bing Jie Bai**, and Cheng Zhang*
*Department of School of Automation, China University of Geosciences
Wuhan, Hubei 430074, China
**Department of Institute of Geophysics & Geomatics, China University of Geosciences
Wuhan, Hubei 430074, China
***Science and Technology on Near-Surface Detection Laboratory
Wuxi 214035, China
The free induction decay (FID) quality signal of a proton precession magnetometer is closely related to tuning precision. To solve the commonly used current tuning problem method, we propose improving control algorithm tuning based on singular value decomposition (SVD). The space matrix is constructed by acquiring an analog-to-digital converter (ADC) for untuned FID signals, then conducting SVD to eliminate noise and obtain a useful signal. The fast Fourier transform (FFT) is then applied to the denoised FID signal to extract the time-frequency feature. Based on theory analysis, simulation modeling and actual FID signal testing, results show that compared to general tuning methods such as peak detection and auto correlation, our proposed algorithm improves sensor tuning precision and shortens tuning process time to one second or less.
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