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超导重力仪观测数据分析
引用本文:聂仁奇,章传银,秘金钟.超导重力仪观测数据分析[J].全球定位系统,2012,37(1):35-38.
作者姓名:聂仁奇  章传银  秘金钟
作者单位:1. 中国测绘科学研究院,北京100830/山东科技大学,山东青岛266510
2. 中国测绘科学研究院,北京,100830
基金项目:国家863项目,国家863项目
摘    要:超导重力仪作为目前研究时变重力场的主要仪器具有很高的灵敏度和稳定性、很低的噪音水平和漂移以及很宽的动态频率响应范围。探测时间序列中隐含的周期信号是超导重力仪观测数据分析的主要目标之一,通过快速傅里叶变换(FFT)和最小二乘谱分析方法分析超导重力数据中隐含信号的检测,并对两种方法结果进行了分析比较。并最终用小波分析的方法进行了检校。

关 键 词:超导重力数据  FFT  最小二乘谱分析  小波分析

Analysis of Superconducting Gravimeter Observations
NIE Ren-qi,ZHANG Chuan-yin,BI Jin-zhong.Analysis of Superconducting Gravimeter Observations[J].Gnss World of China,2012,37(1):35-38.
Authors:NIE Ren-qi  ZHANG Chuan-yin  BI Jin-zhong
Institution:1. Chinese Academy of Surveying and Mapping, Beijing 100830, China; 2. Shandong University of Science and Technology, Qingdao Shandog 266510, China)
Abstract:Superconducting gravimeter has been mainly used in temporal gravity field currently because of its high sensitivity and stability. Also, it has minimal noise level and drift as well as very wide dynamic range frequency response. Detecting the hidden periodic signals in time series is one of important objectives in analyzing the observing data from superconducting gravimeter. Fast Fourier Transform (FFT) and Least squares Spectral analysis method are used in this study to detect these hidden signals. Results from the above two methods are fully compared and analyzed and finally, the wavelet analysis method is used for validating.
Keywords:Superconducting gravity data  FFT  least-squares spectral analysis  waveletanalysis
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