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Noise Reduction of Transient Electromagnetic Measurement Data

Proceedings of the 7th International Conference on Environment and Engineering Geophysics &amp Summit Forum of Chinese Academy of Engineering on Engineering Science and Technology(2016)

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摘要
The bipolar synchronous sampling method is widely used for noise reduction in Transient Electromagnetic Measurement. However, in practice the ability of this method is not enough to reduce the strong noise from multi-sources. In this paper, we propose an improved method for optimization of the Instrument Sampling Function to improve the capability of the System against the narrowband noise, specially the power line noise. A Gauss function is designed and used as a window function for corresponding gate function to improve the Noise reducing ability in broadband zone and another Gauss function filtered by a notching filter is designed and used as a window function for weighting function in order to improve the Noise reducing ability in narrowband zone. Finally we compared the results of data processing with the different instrument sampling functions before and after the Optimization, and it proved that this new method here has stronger ability in noise reduction for TEM Measurement.
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关键词
PRBS,system identification,electromagnetic impulse response
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