摘要
超导电磁探测极易受到环境电磁噪声的干扰,严重影响了数据的解释精度。针对这一问题,提出了一种基于信噪分离消噪原理的超导电磁噪声抑制方法。该方法首先利用FastICA算法从观测信号中分离提取二次磁场信号,然后针对信号分离后的幅值不确定性问题,基于最大化非高斯性和最小畸变准则构建优化约束模型,最后利用CS搜索算法迭代求解分离矩阵的最优参数值。仿真结果显示,本文方法在信噪比和均方误差指标上均优于PCA、WA和ICA方法,消噪后信号的信噪比提高了16.6 dB。现场实验表明,本文方法对多种环境电磁噪声均具有良好的抑制效果,消噪后观测信有效时间提高了近4倍。观测信号质量得到了显著改善,视电阻率成像解释深度达1000 m,充分验证了本文方法的有效性和实用性。
The superconducting electromagnetic detection is highly susceptible to interference from environmental electromagnetic noise,which seriously affects the accuracy of data interpretation.To address this issue,this paper proposes a superconducting electromagnetic noise suppression method based on the principle of signal-to-noise separation and denoising.Firstly,the FastICA algorithm is utilized to extract the secondary magnetic field signal from the observed signal.Then,an optimization constraint model is formulated,which is based on maximizing non-gaussianity and minimizing distortion to address the uncertainty of the signal amplitude after separation.Finally,the CS search algorithm is used to iteratively solve for the optimal parameters of the separation matrix.Simulation experiment results show that the proposed method outperforms the PCA,WA and ICA methods in terms of signal-to-noise ratio and mean square error metrics,with a 16.6 dB improvement in signal-to-noise ratio after noise reduction.Field experiment results show that the proposed method has good suppression effects on various environmental electromagnetic noise.The effective signal duration is increased by nearly 4 times after denoising.The observed signal quality is significantly improved,and the imaging interpretation depth reaches 1000 m.The effectiveness and practicality of the proposed method is fully evaluated.
作者
高全明
张瀚文
侯宇丹
张嘉宸
嵇艳鞠
Gao Quanming;Zhang Hanwen;Hou Yudan;Zhang Jiachen;Ji Yanju(College of Instrumentation and Electrical Engineering,Jilin University,Changchun 130061,China;State Key Laboratory of Functional Materials for Informatics,Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai 200050,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2023年第8期109-117,共9页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(42030104)
中国科学院开放课题(SKL202205)
吉林大学创新创业训练计划项目(202210183045)资助
关键词
超导电磁探测技术
电磁噪声
信噪分离
幅值不确定性问题
superconducting electromagnetic detection technology
electromagnetic noise
signal-noise separation
amplitude uncertainty problem
作者简介
高全明,2014年于聊城大学获得学士学位,2017年于长春理工大学获得硕士学位,2020年于吉林大学获得博士学位,现为吉林大学仪器科学与电气工程学院博士后,同时也是中国科学院上海微系统与信息技术研究所信息功能材料国家重点实验室客座人员,主要研究方向为超导电磁探测技术。E-mail:gaoqm@jlu.edu.cn;通信作者:嵇艳鞠,1994年于吉林大学获得学士学位,1997年于吉林大学获得硕士学位,2004年于吉林大学获得博士学位,现为吉林大学仪器科学与电气工程学院教授,主要研究方向为计算电磁学、时域电磁多物理场探测技术、超导量子传感测量技术。E-mail:jiyj@jlu.edu.cn
