Gaussian processes (GP) provide an attractive machine learning model due to their nonparametric form, their flexibility to capture many types of observation data, and their generic inference procedures. Sparse GP inference algorithms address the cubic complexity of GPs by focusing on a small set of pseudo-samples. To date, such approaches have focused on the simple case of Gaussian observation ...

We propose here a new error correction algorithm for GPS (Global positioning system) receivers called SKMW, which processes GPS coordinates with smoothing, k-means, mean, and weighted average in turn. We also propose values for parameters to be used with the algorithm, and analyze their performance in field tests. Our analysis has shown that SKMW can effective improve the accuracy of GPS applic...

One area of active interest in the GNSS community is determining the vulnerability of multi-antenna signal processing algorithms given calibration errors in antennas and analog front-end hardware. Errors introduced by the antennas or by the analog hardware that are not completely mitigated by software or calibration may lead to degradation in steering-vector accuracy. Of interest are the charac...

An analysis of spaceborne Global Positioning System reflectometry (GPS-R) data from the TechDemoSat-1 (TDS-1) satellite is carried out to image the ocean sea surface height (SSH). An SSH estimation algorithm is applied to GPS-R delay waveforms over two regions in the South Atlantic and the North Pacific. Estimatesmade fromTDS-1 overpasses during a 6month period are aggregated to produce SSHmaps...

Rapidly developed automated data gathering techniques and methods like LIDAR (Light Detection And Ranging), GPS, integrated barymetric measurements consisted of GPS and digital sounder, are often used for obtaining observations for creation Digital Terrain Model (DTM). Methods mentioned above produce large data sets, which may cause problems for users at the stage of main processing, in which D...

We present the first spaceborne observation of a Global Positioning System (GPS) signal reflected from the Earth’s surface, specifically from the Pacific Ocean. This result is scaled to obtain the expected voltage signal-to-noise ratio (SNR) and altimetric accuracy for a generic GPS-reflections altimetry mission, and the current SAC-C and CHAMP missions. Cross-correlating a three-parameter phas...