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。
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.
出处
《全球定位系统》
2012年第1期35-38,共4页
Gnss World of China
基金
国家863项目(编号:2009AA121405)
国家863项目(编号:2011AA120503)
关键词
超导重力数据
FFT
最小二乘谱分析
小波分析
Superconducting gravity data
FFT
least-squares spectral analysis
waveletanalysis
