Data processing method for aerial testing of rotating accelerometer gravity gradiometer  

旋转加速度计重力梯度仪航空测试数据处理方法

作　　者：QIAN Xuewu TANG Hailiang 钱学武;唐海亮(济南职业学院电子工程系,济南250103;济南市5G+先进控制技术重点实验室,济南250103;齐鲁师范学院信息科学与工程学院,济南250200)

机构地区：[1]Department of Electronic Engineering,Jinan Vocational College,Jinan 250103,China [2]Jinan Key Laboratory of 5G+Advanced Control Technology,Jinan 250103,China [3]School of Information Science and Engineering,Qilu Normal University,Jinan 250200,China

出　　处：《中国惯性技术学报》2024年第8期743-752,共10页Journal of Chinese Inertial Technology

基　　金：中国博士后科学基金资助项目(2020M671287);江苏省博士后科研资助计划项目(2020Z387);山东省自然科学基金面上项目(ZR2020MF089)。

摘　　要：A novel method for noise removal from the rotating accelerometer gravity gradiometer(MAGG)is presented.It introduces a head-to-tail data expansion technique based on the zero-phase filtering principle.A scheme for determining band-pass filter parameters based on signal-to-noise ratio gain,smoothness index,and cross-correlation coefficient is designed using the Chebyshev optimal consistent approximation theory.Additionally,a wavelet denoising evaluation function is constructed,with the dmey wavelet basis function identified as most effective for processing gravity gradient data.The results of hard-in-the-loop simulation and prototype experiments show that the proposed processing method has shown a 14%improvement in the measurement variance of gravity gradient signals,and the measurement accuracy has reached within 4E,compared to other commonly used methods,which verifies that the proposed method effectively removes noise from the gradient signals,improved gravity gradiometry accuracy,and has certain technical insights for high-precision airborne gravity gradiometry.为减少航空重力梯度仪的噪声影响,提高测量精度,提出了一种基于零相位原理的头尾数据扩展处理方法。采用契比雪夫一致性理论,设计了基于信噪比增益、平滑度指标和互相关系数带通滤波器参数确定方案。为了进一步提高滤波效果,构建了小波滤波评价函数,通过样机实验发现,采用dmey小波基函数滤波效果较好。重力梯度仪半物理仿真及样机实验结果表明,所提处理方法与其他常用方法相比,重力梯度信号测量方差提高了14%,测量精度达到了4E以内,验证了所提方法可以有效去除梯度信号中的噪声,提高重力梯度信号准确性,具有一定的工程应用价值。

关 键 词：airborne gravity gradiometer data processing band-passing filter evaluation function 

分 类 号：U666.1[交通运输工程—船舶及航道工程]