Abstract:

To resolve the problem that the weak response of a deep target signal and the serious measuring environmental noise weaken the definition of the received signal greatly in the practical exploration of CSAMT(Controlled Source Audio-frequency Magnetotelluric), the cross-correlation algorithm based on the theory of the random signal statistics to deal with the noise of the CSAMT data is proposed. The method uses the fact that correlation between emission and received signals is strong, and the correlation between emission signals and random noise is weak, designing an emission signal current waveform recorder, dealing with emission signals and received signals by cross-correlation to filter out jamming signals, such as random noise etc. The experimental results show that the method can suppress noise and improve the measuring accuracy of CSAMT.

Key words: received signal processing, cross-correlation algorithm, controlled source audio-frequency magnetotelluric(CSAMT), suppress noise