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Wavelet packets based denoising method for measurement domain repeat-time multipath filtering in GPS static high-precision positioning

机译:基于小波包的GPS静态高精度定位测量域重复时间多路径滤波的去噪方法

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Repeatable satellite orbits can be used for multipath mitigation in GPS-based deformation monitoring and other high-precision GPS applications that involve continuous observation with static antennas. Multipath signals at a static station repeat when the GPS constellation repeats given the same site environment. Repeat-time multipath filtering techniques need noise reduction methods to remove the white noise in carrier phase measurement residuals in order to retrieve the carrier phase multipath corrections for the next day. We propose a generic and robust three-level wavelet packets based denoising method for repeat-time-based carrier phase multipath filtering in relative positioning; the method does not need tuning to work with different data sets. The proposed denoising method is tested rigorously and compared with two other denoising methods. Three rooftop data sets collected at the University of Nottingham Ningbo China and two data sets collected at three Southern California Integrated GPS Network high-rate stations are used in the performance assessment. Test results of the wavelet packets denoising method are compared with the results of the resistor-capacitor (RC) low-pass filter and the single-level discrete wavelet transform (DWT) denoising method. Multipath mitigation efficiency in carrier phase measurement domain is shown by spectrum analysis of two selected satellites in two data sets. The positioning performance of the repeat-time-based multipath filtering techniques is assessed. The results show that the performance of the three noise reduction techniques is about 1-46 % improvement on positioning accuracy when compared with no multipath filtering. The statistical results show that the wavelet packets based denoising method is always better than the RC filter by 2-4 %, and better than the DWT method by 6-15 %. These results suggest that the proposed wavelet packets based denoising method is better than both the DWT method and the relatively simple RC low-pass filter for noise reduction in multipath filtering. However, the wavelet packets based denoising method is not significantly better than the RC filter.
机译:可重复卫星轨道可用于基于GPS的变形监测和其他高精度GPS应用中的多径缓解,其涉及与静态天线连续观察。在静态站的多径信号在给出同一站点环境时重复GPS星座。重复时间多路径过滤技术需要降噪方法以消除载波相位测量残差中的白噪声,以便检索第二天的载波相位多径校正。我们提出了一种基于常规和坚固的三级小波包的去噪方法,用于相对定位的重复时间的载波相位多径滤波;该方法不需要调整以使用不同的数据集。所提出的去噪方法经过严格的测试,并与另外两种去致脱色方法进行测试。在诺丁波宁波大学收集的三家屋顶数据集和在三个加州南部集成的GPS网络高速电台收集的两组数据集都用于性能评估。将小波包去噪方法的测试结果与电阻电容器(RC)低通滤波器的结果和单级离散小波变换(DWT)去噪方法进行比较。载波相位测量域中的多径缓解效率通过两个数据集中的两个选定卫星的频谱分析显示。评估了基于重复时间的多径滤波技术的定位性能。结果表明,与无多径滤波相比,三种降噪技术的性能约为定位精度的提高约为1-46%。统计结果表明,基于小波分组的去噪方法总是比RC滤波器更好2-4%,比DWT方法更好6-15%。这些结果表明,所提出的基于小波包的去噪方法优于DWT方法和相对简单的RC低通滤波器,用于多径滤波中的降噪。然而,基于小波分组的去噪方法没有明显优于RC滤波器。

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