| 基于功率谱和小波谱在GNSS时间序列信号探测分析中的应用 |
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| 引用本文： | 袁兴明.基于功率谱和小波谱在GNSS时间序列信号探测分析中的应用[J].测绘与空间地理信息,2020(4):189-193,196. |
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| 作者姓名： | 袁兴明 |
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| 作者单位： | 山东工业职业学院建筑与信息工程系 |
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| 摘 要： | GNSS坐标在观测过程中受多方面因素影响,产生各种误差,存在一些波动变化,根据波动变化特征可以分析探测存在的信号。本文主要利用功率谱、小波谱和小波熵对GNSS原始、去趋势项、差分处理3种情况下时间序列进行分析,通过对比显示,小波谱和小波熵对于非平稳信号探测比功率谱分析能力强,GNSS时间序列存在一个趋势项和一个年周期信号。
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| 关 键 词： | GNSS时间序列 信号 功率谱 小波谱 小波熵 |
Application of Power Spectrum and Wavelet Spectrum in Detection and Analysis of GNSS Time Series Signals |
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| YUAN Xingming.Application of Power Spectrum and Wavelet Spectrum in Detection and Analysis of GNSS Time Series Signals[J].Geomatics & Spatial Information Technology,2020(4):189-193,196. |
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| Authors: | YUAN Xingming |
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| Institution: | (Architecture and Information Engineering,Shandong Vocational College of Industry,Zibo 256414,China) |
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| Abstract: | The GNSS coordinates are affected by many factors in the observation process,resulting in various kinds of errors.There are some fluctuations in the GNSS coordinates.According to the characteristics of fluctuations,the existing noise can be analyzed.In this paper,we mainly use power spectrum,wavelet spectrum and wavelet entropy to analyze the time series of GNSS original,de-trending,and differential processing.Through contrast analysis,wavelet spectrum and wavelet entropy have stronger ability to analyze non-stationary signal detection than power spectrum.There is a trend item and one-year periodic signal in the GNSS time series. |
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| Keywords: | GNSS time series signal power spectrum wavelet spectrum wavelet entropy |
| 本文献已被 CNKI 维普 等数据库收录！ |
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