Comparison of measurement and position domain multipath filtering techniques with the repeatable GPS orbits for static antennas

Abstract Repeatable satellite orbits can be used for multipath mitigation in Global Position System (GPS) based deformation monitoring and other high precision GPS applications that involve continuous observation with static antennas. Multipath signals repeat when the GPS constellation does. There are two possible domains for repeat-time based multipath filtering. One is based on filtering multipath errors in the measurements and the other on filtering multipath contaminated positioning errors. If all satellites have the same repeat time, the performance in the two domains should be very similar. However, the repeat time for individual satellite may be different and this leads to possible differences in performance in the two filtering domains. The aim of this paper is to assess the performance of the two filtering domains on multipath mitigation for short baselines. Three roof-top data sets collected at University College London and a data set collected at two International GNSS Service high-rate stations are used in our performance assessment. Test results are analysed and insights into the two filtering domains are described in details in the paper. Our overall result shows that the performances of the two filtering domains on multipath mitigation are similar, which is about 40% improvement on positioning accuracy when comparing with no multipath filtering.

[1]  Patrick C. Fenton,et al.  The Theory and Performance of NovAtel Inc.'s Vision Correlator , 2005 .

[2]  J. K. Ray,et al.  Mitigation of GPS code and carrier phase multipath effects using a multi-antenna system , 2000 .

[3]  David Bétaille,et al.  Assessment and improvement of the capabilities of a window correlator to model GPS multipath phase errors , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Penina Axelrad,et al.  Improving the precision of high-rate GPS , 2007 .

[5]  D. Agnew,et al.  Finding the repeat times of the GPS constellation , 2006 .

[6]  Lambert Wanninger,et al.  Carrier Phase Multipath Calibration of GPS Reference Stations , 2000 .

[7]  P. Axelrad,et al.  Use of the Correct Satellite Repeat Period to Characterize and Reduce Site-Specific Multipath Errors , 2005 .

[8]  Paul Cross,et al.  A New Signal-to-Noise-Ratio Based Stochastic Model for GNSS High-Precision Carrier Phase Data Processing Algorithms in the Presence of Multipath Errors , 2006 .

[9]  Martin Schmitz,et al.  Precise GPS Positioning Improvements by Reducing Antenna and Site Dependent Effects , 1998 .

[10]  Michael J. Roberts,et al.  Signals and Systems: Analysis Using Transform Methods and MATLAB , 2003 .

[11]  Peter J. Clarke,et al.  GPS sidereal filtering: coordinate- and carrier-phase-level strategies , 2007 .

[12]  Pedro Elosegui,et al.  Multipath characteristics of GPS signals as determined from the Antenna and Multipath Calibration System , 2002 .

[13]  Penina Axelrad,et al.  Modified sidereal filtering: Implications for high‐rate GPS positioning , 2004 .

[14]  Paul Cross,et al.  Phase Multipath Mitigation Techniques for High Precision Positioning in All Conditions and Environments , 2007 .

[15]  Paul Cross,et al.  Development and testing of a new ray-tracing approach to GNSS carrier-phase multipath modelling , 2007 .

[16]  Andreas Wieser,et al.  SIGMA-F: Variances of GPS Observations Determined by a Fuzzy System , 2002 .

[17]  Paul Cross,et al.  Use of Signal-to-Noise Ratios for Real-Time GNSS Phase Multipath Mitigation , 2005 .

[18]  Lawrence Lau,et al.  Investigations into Phase Multipath Mitigation Techniques for High Precision Positioning in Difficult Environments , 2007, Journal of Navigation.

[19]  Penina Axelrad,et al.  An Adaptive SNR-Based Carrier Phase Multipath Mitigation Technique , 1996 .