本文關(guān)鍵詞： GPS時(shí)間序列 經(jīng)驗(yàn)?zāi)B(tài)分解 降噪 本征模態(tài)分量　出處：《大地測量與地球動(dòng)力學(xué)》2017年12期 　論文類型：期刊論文

【摘要】：針對GPS位置時(shí)間序列噪聲成分復(fù)雜、建模困難、噪聲與信號(hào)難以有效分離等特點(diǎn),用自適應(yīng)信號(hào)分析方法經(jīng)驗(yàn)?zāi)B(tài)分解(EMD)對中國區(qū)域9個(gè)IGS站時(shí)間序列的N、E、U方向作降噪處理。首先對各方向分量作EMD分解,獲取各方向噪聲強(qiáng)度依次降低的一系列本征模態(tài)分量及其趨勢項(xiàng);其次利用相關(guān)系數(shù)辨別出噪聲與信號(hào)的分界本征模態(tài)分量,并按重構(gòu)方法重構(gòu)各本征模態(tài)分量;最后用相關(guān)系數(shù)、信噪比、能量百分比等參數(shù)評價(jià)EMD方法降噪的有效性。結(jié)果表明,EMD方法能合理地分離序列中的信號(hào)與噪聲,有效削弱噪聲對GPS位置時(shí)間序列的影響,進(jìn)一步提高GPS位置時(shí)間序列的精度。
[Abstract]:In view of the complex noise components of GPS position time series, the difficulty of modeling, and the difficulty of effectively separating the noise from the signal, and so on. In this paper, the empirical mode decomposition (EMD) method of adaptive signal analysis is used to reduce the noise of the time series of nine IGS stations in China. Firstly, the EMD decomposition of the components in each direction is performed. A series of eigenmode components and their trend terms are obtained which the noise intensity in each direction decreases in turn. Secondly, the boundary eigenmode components of noise and signal are distinguished by correlation coefficient, and each eigenmode component is reconstructed according to the reconstruction method. Finally, the correlation coefficient, signal-to-noise ratio, energy percentage and other parameters are used to evaluate the effectiveness of the EMD method. The results show that the EMD method can reasonably separate the signal from the noise in the sequence. The influence of noise on GPS position time series is weakened effectively, and the accuracy of GPS position time series is further improved.
【作者單位】： 長安大學(xué)地質(zhì)工程與測繪學(xué)院;
【基金】：國家自然科學(xué)基金(41104019,41674001) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)基金(310826172202)~~
【分類號(hào)】：P228.4
【正文快照】： 如何有效分離GPS時(shí)間序列中包含的各類噪聲已成為目前研究的熱點(diǎn)。王敏等[1]、張飛鵬等[2]、姜衛(wèi)平等[3]、袁林果等[4]研究了我國境內(nèi)IGS站及區(qū)域CORS站的GPS時(shí)間序列的運(yùn)動(dòng)特性,結(jié)果表明GPS時(shí)間序列在水平方向主要以線性運(yùn)動(dòng)為主,而高程方向則表現(xiàn)出復(fù)雜的周期振蕩與非線性運(yùn)，

本文編號(hào)：1489799