基于高阶统计量的大地电磁数据处理与仿真  

Magnetotelluric data processing and simulation based on higher-order statistics

作　　者：蔡剑华[1,2] 胡惟文[1] 任政勇[2] 雷立云[1] 

机构地区：[1]湖南文理学院信息研究所,湖南常德415000 [2]中南大学信息物理工程学院,湖南长沙410083

出　　处：《中南大学学报（自然科学版）》2010年第4期1556-1560,共5页Journal of Central South University:Science and Technology

基　　金：国家高技术研究发展计划("863"计划)项目(2006AA06Z105);湖南省"十一五"重点建设学科资助项目(2006年)

摘　　要：针对大地电磁(MT)数据具有非线性、非平稳的特征而不能满足传统功率谱方法要求的问题,从高阶统计量的理论入手,提出由信号的高阶谱恢复功率谱,再由恢复的功率谱估算MT响应函数的高阶统计量方法,建立通过高阶谱恢复功率谱的数学模型,并对合成数据和实测MT数据进行仿真分析。研究结果表明:利用高阶累积量对高斯噪声不敏感的特点,可实现在高斯白噪声和有色噪声污染下的瞬态信号频率与功率谱的正确估计;高阶统计方法消除了传统功率谱方法中大地电磁响应函数出现个别频点分散和形态异常的现象,使地质参数的估计精度和资料的可解释性得到明显提高。Based on the fact that magnetotelluric data（MT） series are non-linear and non-stationary,and donot meet the basic requirements of the traditional power spectrum,the MT data processing method based on the high-order statistics was proposed.This method used higher-order spectra to reconstruct power spectra and estimated MT responses with the reconstructed power spectra.A model was established using higher-order spectra to reconstruct power spectra.Meanwhile,simulations were conducted using the man-made data and recorded MT data.The results show that the presented method is superior to the traditional power spectral method in suppressing Gaussian colored noise and can extract more useful information.Compared with the traditional method,it eliminates scattering at individual frequencies with shape distortion in MT response curves.Therefore,the accuracy of estimation and the interpretability of data are significantly improved.

关 键 词：高阶统计量 大地电磁信号 数据处理 噪声抑制 

分 类 号：P631[天文地球—地质矿产勘探]