北京大学学报（自然科学版）2026，Vol.62Issue(5)：1015-1024,10.DOI:10.13209/j.0479-8023.2026.054
基于非平稳信号分解的可控震源背景噪声压制
Background Noise Suppression for Vibroseis Based on Non-stationary Signal Decomposition
摘要
Abstract
This paper proposes a background noise suppression technique for vibroseis data based on non-stationary signal decomposition.Taking the time-frequency correlation between sweep signals and effective signals as prior constraints,a non-stationary signal decomposition model is constructed.The orthogonal matching pursuit algorithm is adopted to realize the adaptive separation of effective signals and complex background noise,thereby breaking the limitation of traditional methods that assume stationary noise.Tests on synthetic data verify that the proposed method can effectively extract uncorrelated effective vibroseis signals amid complex noise environments.Applications to field seismic data acquired from the Gobi area of the Tarim Basin with low signal-to-noise ratio further demonstrate that this method outperforms the frequency-wavenumber predictive filtering method in background noise attenuation.The processed seismic sections feature improved event continuity and elevated overall signal-to-noise ratio.关键词
可控震源/高效采集/低信噪比/未相关/背景噪声/非平稳信号分解Key words
vibroseis/high-efficiency acquisition/low signal-to-noise ratio(SNR)/uncorrelated/background noise/nonstationary signal decomposition引用本文复制引用
钱毅安,曾同生,胡天跃,曾庆才..基于非平稳信号分解的可控震源背景噪声压制[J].北京大学学报（自然科学版）,2026,62(5):1015-1024,10.基金项目
中国石油天然气集团有限公司-北京大学基础研究项目、国家自然科学基金(42274163)和国家重点研发计划(2018YFA0702503)资助 （42274163）
