利用信噪分离方法提高大地电磁张量阻抗估算质量  

A Signal-Noise Separation Method for Magnetotelluric Impedance Tensor Estimate Improvement

作　　者：崔金岭[1,2] 邓明[1,2] 景建恩[1,2] 张启升[1,2] 陈凯[1,2] 王猛[1,2] 

机构地区：[1]中国地质大学地球物理与信息技术学院,北京100083 [2]地下信息探测技术与仪器教育部重点实验室,北京100083

出　　处：《地球科学（中国地质大学学报）》2014年第4期492-498,共7页Earth Science-Journal of China University of Geosciences

基　　金：国家专项"深部探测技术与实验研究"(Nos.SinoProbe-01;201011035);国家科技部"863"计划课题(No.2012AA09A201);中央高校基本科研业务费专项资金(No.2011YYL106)

摘　　要：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.It is difficult to estimate precise magnetotelluric （MT） impedance tensor in high correlated noise areas. In order to approximate MT impedance tensor, we use remote sites which contain relatively lower correlated noise to compute separation tensor by using Robust least square method. The MT data in three sites which are contaminated by higher and lower correlated noises are processed using signal-noise separation method. The results show that it can separate higher correlated noise and get much smoother apparent resistivity and phase curves than those obtained by using Robust least square method and remote ref- erence method. It is concluded that sig1nal-noise separation method is efficient for much more precise MT impedance tensor.

关 键 词：信噪分离 大地电磁 张量阻抗 地球物理 

分 类 号：P631[天文地球—地质矿产勘探]