摘要
在随钻电磁波测井工程中,随着勘探深度加深,信号呈现越来越微弱的特性,有效提取强噪声背景下的微弱电磁波信号对于指导随钻工程勘探具有重要的意义.传统的滤波方法仅滤除带外噪声,带内噪声不能被很好解决,针对此问题,文章设计带外硬件滤波电路和带内基于最小均方算法的可变参数自适应谱线增强(adaptive line enhancer,ALE)算法来构造组合滤波算法.理论分析和仿真研究表明:该组合算法能够提高高动态、低信噪比的微弱电磁波有用信号的估计精度,有效提高信噪比和抑制工程环境噪声的能力.该组合算法在滤除带外噪声的基础上,对于带内高斯白噪声抑制能力提高约10dB,进一步解决了实际工程问题.
In the electromagnetic wave logging engineering,as the depth of exploration deepens,the signal goes weaker and weaker.Therefore,the effective extraction of weak electromagnetic signals in the strong noise background is of great significance for guiding the exploration while drilling.The traditional filtering methods only filter the out-of-band noise,not the in-band noise.Therefore,this paper designs an out-of-band hardware filter circuit and in-band adaptive line enhancement（ALE）algorithm that based on the least mean square algorithm to construct the combination filtering algorithm.Theoretical analysis and simulation show that this algorithm can improve the calculation accuracy of weak signal with high dynamic range and low signal to noise ratio（SNR）,effectively enhancing SNR and noise suppression ability.In addition,to filter the out-of-band noise,the in-band Gaussian white noise rejection is improved by about 10 dB in this algorithm,which helps to solve the actual engineering problem.
作者
李富凯
杨志强
郝纯
LI Fukai;YANG Zhiqiang;HAO Chun(China Research Institute of Radiowave Propagation, Xinxiang 453000,Chin)
出处
《电波科学学报》
EI
CSCD
北大核心
2018年第1期48-55,共8页
Chinese Journal of Radio Science
关键词
随钻电磁波
微弱信号检测
滤波电路
自适应增强
可变参数
MWD electromagnetic wave
weak signal detection
filtering circuit
adaptive enhance
variable parameter
