Abstract

Magnetic resonance sounding (MRS) signal is quite weak. Usually it is very susceptible to outside noise interference when measured using MRS groundwater detector, so that the characteristic parameters extracted from the returned signal data are inaccurate; eventually leading to an inaccurate location of groundwater through inversion explanation. And because of the high sampling frequency and large sampling quantity of full-wave signals, the impulse noise among complex noises is most disturbing noise, we come up with two kinds of mathematical morphology algorithm, t distribution test algorithm and nonlinear operator detection algorithm. We have verified the validity of the method through theoretical calculation, mathematical modeling and algorithm simulation. We get appropriate algorithm parameters under different signal-to-noise ratio after lots of theoretical calculation, mathematical modeling and simulation analysis. Finally, we verified the effectiveness of this de-noising method from the experimental data measured in field.

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