基于小波分析的海洋重力测量滤波算法  

Application of wavelet analysis in marine gravity survey

作　　者：郝燕玲[1] 姜鑫[1] 周广涛[1] 关劲[2] 石惠文[1] 

机构地区：[1]哈尔滨工程大学自动化学院 [2]海军装备部

出　　处：《测绘科学》2014年第8期116-119,共4页Science of Surveying and Mapping

基　　金：国家自然科学基金(60834005)

摘　　要：为有效抑制海洋重力测量信号中的各种强噪声,提高重力仪的测量精度,文章提出了基于Mallat算法和小波包分解的两种滤波方法。通过仿真实验,详细讨论了不同小波分解层数对滤波效果的影响,并比较两种算法的运算效率。最后,结合重力仪实测数据,对仿真实验的结论进行验证。结果表明,相比传统的Butterworth滤波器,两种算法都能更有效地抑制重力测量信号中的噪声,其中Mallat算法运算效率较高。In order to effectively eliminate the noise of the marine gravimeter measurement signal and improve the measurement accuracy of gravimeter, two de-noising methods were proposed based on Mallat algorithm and wavelet packet decomposition in the paper. Through the simulation, the relationship between decomposition scale and de-noising performance was discussed, and the computing efficiency of two algorithms was compared. Finally, conclusion of the simulation was given with processing the gravimeter measured data. The results showed that this two algorithms could suppress the noise of the marine gravimeter measurement more effectively than the traditional Butterworth filter, and the computing efficiency of Mallat algorithm was superior to that of wavelet packet algorithm.

关 键 词：海洋重力测量 小波消噪 MALLAT算法 小波包 海洋重力仪 

分 类 号：P229[天文地球—大地测量学与测量工程]