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在强噪声环境下,由于相关噪声的影响,准确地估算大地电磁张量阻抗越来越困难.研究一种处理相关噪声问题的信噪分离方法,即采用最小二乘Robust方法,利用相关噪声相对较小的远参考站磁场信号求取分离张量,将本地磁场的观测信号分离为MT信号和噪声,估算大地电磁张量阻抗.分别对模拟数据与实测数据进行处理,结果表明,信噪分离方法能够分离出较强的相关噪声,给出的视电阻率和相位曲线比最小二乘Robust方法和远参考方法获得的更加平滑,处理效果明显.研究表明,在处理受相关噪声影响的MT数据中,信噪分离方法具有明显的优势.
In the strong noise environment, it is more and more difficult to accurately estimate the electromagnetic impedance of the earth due to the influence of the correlated noise.A noise separation method is proposed to deal with the related noise problem, that is, the least square Robust method is used, The magnetic field signal of the smaller far reference station is used to obtain the separation tensor, the observed signal of the local magnetic field is separated into the MT signal and the noise, and the electromagnetic impedance of the earth is estimated. The simulation data and the measured data are respectively processed. Method is able to separate the strong correlation noise and give the apparent resistivity and phase curve more smooth than the least squares Robust method and far reference method and the treatment effect is obvious.The research shows that in dealing with the MT data In, the signal-noise separation method has obvious advantages.