Adaptive Analysis of Filter Methods for Magnetic Resonance Sounding

Abstract

There is no targeted strategy for different noises for the Magnetic Resonance Sounding detecting underground water at present, in order to improve the filtering effects, save the measure time, and then ensure the accuracy of inversion result, the targeted strategy are provided in this paper. The signal measured from Magnetic Resonance Sounding (MRS) instruments needs to process by the digital filter. There are three methods to be used in MRS instruments, include adaptive north filter, moving average filter and FIR low-pass filter. Through building the ideal model adding several normal noises in MRS signal analyses what kind of method adapts what kind of noise. According to the value of SNR, the decay situation of spectrum amplitude, the adaptabilities of various filtering methods are summed up. At the same time, the actual measurement data also proves the strategy basing on the ideal model, at final, adaptive filter methods for several noises is put forward.