Abstract

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.

Highlights

  • Multipath is one of the most important Global Positioning System (GPS) error sources in high-precision positioning

  • Repeat-time-based multipath filtering techniques need noise reduction methods to remove the white noise in measurement residuals in order to retrieve the multipath corrections for the day

  • Five data sets collected in four sites are used to assess the performance of the discrete wavelet transform (DWT)-based filter, RC filter, and the wavelet packets based filter, and to compare the filtered positioning errors with the original positioning errors as produced by standard least squares

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Summary

Introduction

Multipath is one of the most important Global Positioning System (GPS) error sources in high-precision positioning. Multipath errors are caused when direct signals from satellites are mixed with those reflected from objects in the vicinity of the antenna. The maximum amplitude of multipath error in a phase measurement is a quarter of the observing wavelength, for example, it is about 5 cm for the GPS L1 carrier. Multipath mitigation is crucial to achieve centimeter and millimeter positioning accuracy. Details of carrier phase multipath effect can be found in Lau and Cross (2006b, 2007). Multipath mitigation techniques can be classified into site-dependent, hardware-dependent, and algorithm-dependent techniques. Park et al (2002) and Wanninger and May (2000) describe in situ multipath calibrations for reference stations based on the repeatable satellite- Multipath mitigation techniques can be classified into site-dependent, hardware-dependent, and algorithm-dependent techniques. Park et al (2002) and Wanninger and May (2000) describe in situ multipath calibrations for reference stations based on the repeatable satellite-

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