物探与化探2025，Vol.49Issue(2)：404-410,7.DOI:10.11720/wtyht.2025.1300
最小均值交叉熵的时频峰值滤波在探地雷达信号去噪中的应用
Application of time-frequency peak filtering with minimum mean cross-entropy in ground penetrating radar signal denoising
摘要
Abstract
In practical detection operations using ground-penetrating radar(GPR),factors such as environmental noise and instrument errors frequently cause signals to be mixed with substantial noise,seriously reducing signal quality and the reliability of analytical re-sults.To address this issue,this study proposed a time-frequency peak filtering method combined with minimum mean cross-entropy(TFPF-MMCE)for denoising GPR signals.This method combined time-frequency peak filtering with the cross-entropy function,enab-ling effective noise suppression and precise preservation of valid signals through precise optimization of the time-frequency representa-tion,thereby significantly improving the quality of GPR signals.Numerical simulation and field GPR experiments validated that the TF-PF-MMCE method exhibited a high noise removal capability and,thus,can effectively eliminate random noise while significantly im-proving signal clarity and reliability.Compared to traditional denoising methods,TFPF-MMCE shows significant advantages in denois-ing effectiveness and noise resistance stability,suggesting promising application potential and practical value in the field of GPR signal processing.关键词
探地雷达/最小均值交叉熵/去噪/时频峰值滤波/时频分析Key words
ground penetrating radar/minimum mean cross-entropy/denoising/time-frequency peak filtering/time-frequency analysis分类
天文与地球科学引用本文复制引用
郑伟,田仁飞,高雨含,武斌..最小均值交叉熵的时频峰值滤波在探地雷达信号去噪中的应用[J].物探与化探,2025,49(2):404-410,7.基金项目
国家自然科学基金项目(41304080) （41304080）
