测试科学与仪器2023，Vol.14Issue(2)：189-199,11.DOI:10.3969/j.issn.1674-8042.2023.02.008
基于改进小波阈值去噪的地下管线磁异常信号提取研究
Research on magnetic anomaly signal extraction of underground pipelines based on improved wavelet threshold denoising
摘要
Abstract
The collection of magnetic anomaly signal underground pipelines is disturbed by environmental noise.The wavelet threshold method is used as the basic denoising model of the magnetic anomaly signal of underground pipelines,and a composite normalization index is added on the basis of the traditional evaluation index to optimize the wavelet basis functions,optimal decomposition scale and threshold function.An improved threshold function with tunable variable genes is determined to make up for the lack of breakpoint oscillations and loss details of traditional soft and hard threshold function estimation methods.The denoising and effect evaluation of the noisy magnetic anomaly signal is carried out through the simulation signal and experiment.The simulation and experimental results show that the improved threshold function can effectively eliminate the interference of the surrounding noise on the magnetic anomaly signal,and then accurately restore the original magnetic anomaly signal compared with conventional methods,the extracted signal has less distortion and higher SNR,which can provide more accurate data support for subsequent magnetic anomaly inversion.关键词
磁异常信号/小波阈值去噪/小波基函数/最佳分解尺度/阈值函数Key words
magnetic anomaly signal/wavelet threshold denoising/wavelet basis function/optimum decomposition scale/threshold function引用本文复制引用
姜蓬勃,韦明辉,王彬,江丽霞,涂凤秒..基于改进小波阈值去噪的地下管线磁异常信号提取研究[J].测试科学与仪器,2023,14(2):189-199,11.基金项目
State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum(No.PRP/open-1610) （No.PRP/open-1610）
National Natural Science Foundation of China(No.51804267) （No.51804267）
