英语翻译Given that the double-difference observables are a non-linear time series,the presented EMD-Wavelet basedtrend extraction model is applied to a GPS static baselinesolution by first extracting the systematic errors(including multipath,rece

英语翻译Given that the double-difference observables are a non-linear time series,the presented EMD-Wavelet basedtrend extraction model is applied to a GPS static baselinesolution by first extracting the systematic errors(including multipath,rece
英语翻译
Given that the double-difference observables are a non-
linear time series,the presented EMD-Wavelet based
trend extraction model is applied to a GPS static baseline
solution by first extracting the systematic errors
(including multipath,receiver hardware noise,etc) from
the DD observables.These are then eliminated from the
DD carrier phase model equation and the baseline
components are obtained as a result.The algorithm for the
baseline solution is given in Figure 10 (at the end of this
paper).
Han & Rizos (2000) gave the DD multipath calculated
equation for baselines.However,there are many other
systematic errors that should be included in the model
equation,such as receiver hardware errors,ionospheric
and tropospheric errors when considering longer
baselines.In this case,systematic errors can be
represented as:

英语翻译Given that the double-difference observables are a non-linear time series,the presented EMD-Wavelet basedtrend extraction model is applied to a GPS static baselinesolution by first extracting the systematic errors(including multipath,rece
鉴于双差分的观察都是一个非线性时间序 列,提出了基于emd小波趋势提取模型应用于GPS静态 基线方案首先提取系统误差(包括多路,接收机硬件噪 声等)从DD可见.然后把这些都消灭了DD载波相位模 型方程和基线组件获得结果.该算法给出了基线的解 决方案在图10(在本文的末尾).汉& Rizos(2000)给弟 弟多路径计算方程为基线.然而,还有许多其他的系 统误差,应该包括在模型方程,如接收机硬件错误,电离 层和对流层的错误当考虑长基线.在这种情况下,系 统误差可以表示为

鉴于双差观测值的非线性时间序列

鉴于双差观测值的非线性时间序列，提出的EMD小波提取模型应用于GPS静态首先提取系统误差（包括多径，接收机噪声，从DD观测值等）。这些都是从thedd载波相位模型方程和消除得到的结果。在图10中给出了基本解的算法（在本文的结尾）。汉...

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鉴于双差观测值的非线性时间序列

鉴于双差观测值的非线性时间序列，提出的EMD小波提取模型应用于GPS静态首先提取系统误差（包括多径，接收机噪声，从DD观测值等）。这些都是从thedd载波相位模型方程和消除得到的结果。在图10中给出了基本解的算法（在本文的结尾）。汉

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Given that the double-difference observables are a non- linear time series
意思：鉴于双差分的观察都是一个非线性时间序列
Given that the double-difference observables are a non-
linear time series, the presented ...

全部展开

Given that the double-difference observables are a non- linear time series
意思：鉴于双差分的观察都是一个非线性时间序列
Given that the double-difference observables are a non-
linear time series, the presented EMD-Wavelet based
trend extraction model is applied to a GPS static baseline
solution by first extracting the systematic errors
(including multipath, receiver hardware noise, etc) from
the DD observables. These are then eliminated from the
DD carrier phase model equation and the baseline
components are obtained as a result. The algorithm for the
baseline solution is given in Figure 10 (at the end of this
paper).
Han & Rizos (2000) gave the DD multipath calculated
equation for baselines. However, there are many other
systematic errors that should be included in the model
equation, such as receiver hardware errors, ionospheric
and tropospheric errors when considering longer
baselines. In this case, systematic errors can be
represented as:
意思：于双差分的观察都是一个非-
　　线性时间序列,提出了基于emd小波
　　趋势提取模型应用于GPS静态基线
　　解决方案首先提取系统误差
　　(包括多路,接收机硬件噪声等)
　　DD可见。然后把这些都被淘汰了
　　DD载波相位模型方程和基线
　　组件是获得结果。该算法的
　　基线方案给出了图10(到年底
　　pap

收起

鉴于双差分的观察都是一个非-
线性时间序列,提出了基于emd小波
趋势提取模型应用于GPS静态基线
解决方案首先提取系统误差
(包括多路,接收机硬件噪声等)
DD可见。然后把这些都被淘汰了
DD载波相位模型方程和基线
组件是获得结果。该算法的
基线方案给出了图10(到年底
纸)。
汉& Rizos(2000)给弟弟多路...

全部展开

鉴于双差分的观察都是一个非-
线性时间序列,提出了基于emd小波
趋势提取模型应用于GPS静态基线
解决方案首先提取系统误差
(包括多路,接收机硬件噪声等)
DD可见。然后把这些都被淘汰了
DD载波相位模型方程和基线
组件是获得结果。该算法的
基线方案给出了图10(到年底
纸)。
汉& Rizos(2000)给弟弟多路径计算
方程对于基线。然而,还有许多其他的
系统错误,应该包括在模型
方程,如接收机硬件错误,电离层
和对流层错误当考虑更长
基线。在这种情况下,系统误差可以
表示为:

收起

由于双差观测量的是一个非线性的时间序列，所提出的EMD的小波basedtrend的提取模型应用于一个GPS静态baselinesolution首先提取的系统误差（包括多径接收机硬件噪声等）其外DD可观察量。