Improving the precision of high-rate GPS

[1] In order to improve the accuracy of high-rate (1 Hz) displacements for geophysical applications such as seismology it is important to reduce systematic errors at seismic frequencies. One such GPS error source that overlaps with seismic frequencies and is not currently modeled is multipath. This study investigates the frequencies and repetition of multipath in high-rate GPS time series in order to maximize the effectiveness of techniques relying upon the geometric repeatability of GPS satellite orbits. The implementation of the aspect repeat time adjustment (ARTA) method described here uses GPS position time series to estimate time-varying and site-dependent shifts. As demonstrated for high-rate GPS sites in southern California this technique significantly reduces positioning noise at periods from 20 to 1000 s. For a 12-hour time series, ARTA methods improve the standard deviation of the north component from 8.2 to 5.1 mm and the east component from 6.3 to 4.0 mm. After applying ARTA corrections, common mode errors are removed by stacking. This method further improves the standard deviations to 3.0 and 2.6 mm for the north and east components, respectively.

[1]  Characterizing the Behavior of Geodetic GPS Antennas , .

[2]  Yehuda Bock,et al.  Rapid resolution of crustal motion at short ranges with the global positioning system , 1992 .

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

[4]  P. Y. Georgiadou,et al.  On carrier signal multipath effects in relative GPS positioning , 1988 .

[5]  Chris Rizos,et al.  GPS seismometers with up to 20 Hz sampling rate , 2000 .

[6]  Stephen M. Lichten,et al.  Strategies for high-precision Global Positioning System orbit determination , 1987 .

[7]  Chris Rizos,et al.  Multipath Mitigation of Continuous GPS Measurements Using an Adaptive Filter , 2000, GPS Solutions.

[8]  G. Blewitt.  Carrier Phase Ambiguity Resolution for the Global Positioning System Applied to Geodetic Baselines up to 2000 km , 1989 .

[9]  Kristine M. Larson,et al.  Recovering Seismic Displacements through Combined Use of 1-Hz GPS and Strong-Motion Accelerometers , 2007 .

[10]  Yehuda Bock,et al.  Detection of arbitrarily large dynamic ground motions with a dense high‐rate GPS network , 2004 .

[11]  David M. Boore,et al.  Comparisons of Ground Motions from Colocated and Closely Spaced One-Sample-per-Second Global Positioning System and Accelerograph Recordings of the 2003 M 6.5 San Simeon, California, Earthquake in the Parkfield Region , 2007 .

[12]  A. Bilich.  Improving the precision and accuracy of geodetic GPS: Applications to multipath and seismology , 2006 .

[13]  Pedro Elosegui,et al.  Geodesy Using the Global Positioning System: The Effects of Signal Scattering , 1995 .

[14]  D.J.R. van Nee.  Reducing multipath tracking errors in spread-spectrum ranging systems , 1992 .

[15]  Chen Ji,et al.  Preliminary Report on the 28 September 2004, M 6.0 Parkfield, California Earthquake , 2005 .

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

[17]  P. Axelrad,et al.  SNR-based multipath error correction for GPS differential phase , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[18]  Yehuda Bock,et al.  Southern California permanent GPS geodetic array: Spatial filtering of daily positions for estimating coseismic and postseismic displacements induced by the 1992 Landers earthquake , 1997 .

[19]  Pat Fenton,et al.  Theory and Performance of Narrow Correlator Spacing in a GPS Receiver , 1992 .

[20]  A. J. Van,et al.  Theory and Performance of Narrow Correlator Spacing in a GPS Receiver , 1992 .

[21]  J. Kouba.  Measuring Seismic Waves Induced by Large Earthquakes with GPS , 2003 .

[22]  Chen Ji,et al.  Slip history of the 2003 San Simeon earthquake constrained by combining 1‐Hz GPS, strong motion, and teleseismic data , 2004 .

[23]  Yehuda Bock,et al.  High‐rate real‐time GPS network at Parkfield: Utility for detecting fault slip and seismic displacements , 2004 .

[24]  James L. Davis,et al.  GPS APPLICATIONS FOR GEODYNAMICS AND EARTHQUAKE STUDIES , 1997 .

[25]  Paul Bodin,et al.  Using 1-Hz GPS Data to Measure Deformations Caused by the Denali Fault Earthquake , 2003, Science.

[26]  Kenneth W. Hudnut,et al.  THE SOUTHERN CALIFORNIA INTEGRATED GPS NETWORK (SCIGN) , 2001 .

[27]  Yehuda Bock,et al.  Instantaneous geodetic positioning at medium distances with the Global Positioning System , 2000 .

[28]  Timothy Ian Melbourne,et al.  Precursory transient slip during the 2001 Mw = 8.4 Peru earthquake sequence from continuous GPS , 2002 .

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

[30]  Kristine M. Larson,et al.  Modeling the rupture process of the 2003 September 25 Tokachi‐Oki (Hokkaido) earthquake using 1‐Hz GPS data , 2004 .

[31]  James L. Davis,et al.  Accuracy of high‐rate GPS for seismology , 2006 .

[32]  Linlin Ge,et al.  GPS Seismometer and its Signal Extraction , 1999 .

[33]  D. Agnew,et al.  The time-domain behavior of power-law noises. [of many geophysical phenomena] , 1992 .

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

[35]  Yehuda Bock,et al.  The shallow plumbing system of Stromboli Island as imaged from 1 Hz instantaneous GPS positions , 2004 .

[36]  Zuheir Altamimi,et al.  ITRF2000: A new release of the International Terrestrial Reference Frame for earth science applications , 2002 .

[37]  Mehmet Çelebi,et al.  GPS Monitoring of Dynamic Behavior of Long-Period Structures , 1999 .

[38]  Penina Axelrad.  GPS Based Attitude Determination. , 1995 .

[39]  Reiji Kobayashi,et al.  Source processes of the 2005 West Off Fukuoka Prefecture earthquake and its largest aftershock inferred from strong motion and 1-Hz GPS data , 2006 .

[40]  Geoffrey Blewitt,et al.  An Automatic Editing Algorithm for GPS data , 1990 .