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基于加权最小二乘谱迭积算法探测超导重力观测弱信号
引用本文:尹晖,王艳艳.基于加权最小二乘谱迭积算法探测超导重力观测弱信号[J].大地测量与地球动力学,2011,31(4):63-65.
作者姓名:尹晖  王艳艳
作者单位:武汉大学测绘学院,武汉 430079
基金项目:国家自然科学基金(51077105); 国家电网公司科技项目(SGKJ2009-0609-51)
摘    要:提出采用加权最小二乘谱迭积算法探测超导重力观测数据隐藏的弱周期信号,该算法基于不等权的观测序列和序列的自相关性和互相关性,以高分辨率提取序列潜在的共同信号,削弱或抵消噪声信号。并以实例进行了分析和验证。

关 键 词:加权最小二乘谱分析  谱迭积  超导重力数据  弱信号  噪声  

DETECTION OF WEAK SUPERCONDUCTING GRAVIMETRIC SIGNALS WITH PRODUCT SPECTRUM OF WEIGHTED LSSA
Yin Hui,Wang Yanyan.DETECTION OF WEAK SUPERCONDUCTING GRAVIMETRIC SIGNALS WITH PRODUCT SPECTRUM OF WEIGHTED LSSA[J].Journal of Geodesy and Geodynamics,2011,31(4):63-65.
Authors:Yin Hui  Wang Yanyan
Institution:School of Geodesy and Geomatics, Wuhan University, Wuhan 430079
Abstract:Least Squares Spectral Analysis(LSSA) has been shown more suitable than Fourier analysis for analyzing time series with spikes,gaps,datum shrifts(offsets) and other disturbances in a variety of applications in geodesy and geophysics.To detect the weak superconducting gravimetric signals,a methodology of product spectrum based on weighted LSSA is presented,which can take consideration the correlations among the signals and highlight the potential spectra power of high resolution in the common figures as well...
Keywords:weighted LSSA  product spectrum  superconducting gravimetric data  weak signals  noise  
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