重复中位数估计Robust算法在长周期大地电磁中的应用  

THE APPLICATION OF Robust ALGORITHM BASED ON REPEATED MEDIAN ESTIMATOR IN THE LONG-PERIOD MAGNETOTELLURIC SURVEY

作　　者：张刚[1] 王绪本[1] 张伟[1] 罗皓中[1] 罗威[1] 

机构地区：[1]成都理工大学地球探测与信息技术教育部重点实验室,四川成都610059

出　　处：《物探与化探》2011年第6期813-816,828,共5页Geophysical and Geochemical Exploration

基　　金：国家863高技术研究发展计划项目(2006AA06Z110)

摘　　要：将基于重复中位数估计的Robust算法应用于长周期大地电磁阻抗张量估算中。与传统Robust估计(M估计)相比,重复中位数估计求解过程不需要重设参量,并且提高了算法对时间域原始资料中噪声干扰的容限,使算法的理论崩溃值从30%提高到50%,也能得到准确的估算结果。龙门山地区实测资料的处理结果表明,基于重复中位数估计的Robust算法应用于阻抗张量的求解具有较强的优越性。With the broadband signal,weak signal energy and small magnitude in comparison with the tradition MT,the long-period magnetotelluric survey has a higher data processing requirement.In this paper,the Robust algorithm based on repeated median estimator was applied to long-period magnetotelluric impedance tensor estimates.Compared with the Robust maximum likelihood estimate（M estimate）,the repeated median estimator has no need of reset parameters in data processing,and can increase the estimate of the breakdown point up to 50% and get an unbiased estimate of impedance tensor.An application example shows that the Robust algorithm based on repeated median estimator has a strong advantage in the solution of the impedance tensor.

关 键 词：长周期大地电磁 阻抗张量 重复中位数估计 Robust算法 

分 类 号：P631[天文地球—地质矿产勘探]