基于互相关算法的CSAMT接收信号处理研究

针对可控源音频大地电磁法（CSAMT: Controlled Source Audio-frequency Magnetotelluric）实际勘探中, 因深部目标体响应信号微弱, 测量环境噪声严重等特殊情况而导致接收信号的清晰度大大降低的问题, 提出一种基于互相关算法的CSAMT接收数据去噪处理的新方法。该方法利用发射信号与接收信号之间相关性强, 与随机噪声相关性弱的特点, 设计发射信号电流波形记录器, 将接收信号和发射信号作互相关处理, 滤掉噪声等干扰信号。实验结果表明, 该方法可压制噪声, 可提高CSAMT测量的准确性。

Received Signal Processing Research of CSAMT-Based on Cross-Correlation Algorithm

To resolve the problem that the weak response of a deep target signal and the serious measuring environmental noise weaken the definition of thereceived signal greatly in the practical exploration of CSAMT(Controlled SourceAudio-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, dealingwith 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.