国防科技大学学报2025，Vol.47Issue(5)：78-85,8.DOI:10.11887/j.issn.1001-2486.25010018
动态重力测量高频信号降噪方法
Noise reduction method of high frequency signal in dynamic gravimetry
摘要
Abstract
In recent years,the dynamic gravity measurement technology utilizing optical-gyro inertial navigation systems has advanced rapidly,owing to its high efficiency capabilities in acquiring Earth's gravity field data.However,existing filtering methods exhibit limitations in addressing the frequency-domain aliasing of gravity signals and noise,which severely constrains the accuracy and resolution of measurements.To address these challenges,a novel joint noise reduction method integrating EMD(empirical mode decomposition)and WCF(wavenumber correlation filtering)was innovatively proposed.The raw gravity results were low-pass filtered initially.The filtered results then underwent EMD,and a threshold was applied to retain low-order intrinsic mode functions.Subsequently,correlation filtering was implemented on repeated line retention results to reconstruct signals and suppress noise.Simulation experiments demonstrate that the proposed method achieves a 44%improvement in signal-to-noise ratio and a 48%reduction in mean square error compared to traditional EMD processing.These results confirm the effectiveness of the EMD-WCF method in balancing measurement accuracy and resolution,offering a new strategy for high-frequency gravity signal denoising.关键词
动态重力测量技术/经验模态分解/波数相关滤波Key words
dynamic gravity measurement technology/empirical mode decomposition/wavenumber correlation filtering分类
天文与地球科学引用本文复制引用
魏国,陈迈伦,罗晖,高春峰,程嘉奕,王景,侯承志..动态重力测量高频信号降噪方法[J].国防科技大学学报,2025,47(5):78-85,8.基金项目
国家自然科学基金资助项目(62203454) （62203454）
