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GPS残差信号提取的时间序列分析方法 被引量:3

The application of the time series analysis to GPS residuals
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摘要 作者使用零基线单差模型研究并讨论了GPS量测噪声的时相关特性,并得出了GPS观测噪声具有类似白噪声或一阶高斯马尔科夫噪声的特殊性质。利用观测噪声所具备的这种特殊性质,作者首先尝试了从时间域的角度分离和提取了残差序列中的多路径信号特性,成功验证了多路径信号在连续两个恒星日内会有所重复的结论。作者提出了一种使用时相关分析法检测观测序列中周期信号(如冰期反弹、固体潮、极潮等)的设想并就其可行性进行了分析研究。最后,针对观测噪声的这种特殊性质,探讨了结合使用小波分析法提取GPS沉降监测信号的可行性。 The noise and the usable signal (e. g. multipath and atmospheric information) were always contained in GPS observation residuals. How to separate them effectively is always the critical issue in GPS data modeling. From this point, firstly, the zero baseline SD model and the time correlation analysis method were used to study the time correlation properties of the GPS observation noise. Then it is proven that GPS observation noise is analogous to the white noise or the one-order gauss-markov process. With such important result, muhipath was successfully separated and, for the first time, it is confirmed that the multipath will repeat in consecu- tive sidereal days. At the end of the paper, the method to research the periodic signal ( such as ocean tide, ice age rebounding) in the GPS was proposed, also the feasibility of the method was discussed.
出处 《测绘科学》 CSCD 北大核心 2009年第2期58-60,共3页 Science of Surveying and Mapping
基金 国家自然科学基金资助项目(40271091) 教育部博士点基金资助项目(20040613025) 教育部优秀教师资助计划(2003109)
关键词 时间序列分析 时相关 平稳过程 多路径 零基线 超短基线 单差 time series analysis temporal correlation stationary process maltipath zero baseline tdtra-short baseline single difference
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