HR: 1340h
AN: G53A-0110    [Abstracts]
TI: Techniques for Reducing Spatially-Correlated Errors in High-Rate GPS Positioning
AU: * Bilich, A
EM: andria.bilich@colorado.edu
AF: Dept. Aerospace Engineering Sciences, UCB 429, University of Colorado, Boulder, CO 80309-0429 United States
AU: Larson, K M
EM: kristine.larson@colorado.edu
AF: Dept. Aerospace Engineering Sciences, UCB 429, University of Colorado, Boulder, CO 80309-0429 United States
AU: Axelrad, P
EM: penina.axelrad@colorado.edu
AF: Dept. Aerospace Engineering Sciences, UCB 429, University of Colorado, Boulder, CO 80309-0429 United States
AB: Even with continuing advances in GPS data analysis techniques and receiver technology, sub-daily GPS position time series exhibit a high noise level relative to the desired geophysical signal (e.g. volcanic uplift, seismic waves). Several sources of positioning noise are spatially-correlated, meaning that these errors depend on the position of a GPS satellite relative to the location of the receiving GPS antenna. Examples of spatially-dependent errors include multipath, residual phase center variations, and positioning precision based on satellite constellation geometry. We present here two different but complementary methods for removing spatially-correlated errors, sidereal filtering and signal-to-noise ratio (SNR)-based multipath corrections. By applying these methods to both high-rate (1 Hz) and low-rate (30-second) GPS data, we analyze and discuss the respective differences in position noise reduction.
DE: 1241 Satellite orbits
DE: 1244 Standards and absolute measurements
DE: 1294 Instruments and techniques
SC: Geodesy [G]
MN: 2004 AGU Fall Meeting