Publications for GNSS

Publication Citation
Emmons, D.J., D.L. Wu, N. Swarnalingam, A.F. Ali, J.A. Ellis, K.E. Fitch, and K.S. Obenberger (2024), Improved models for estimating sporadic-E intensity from GNSS radio occultation measurements, Frontiers in Astronomy and Space Sciences, doi:10.3389/fspas.2023.1327979.
Merkowitz, S.M., S. Bolotin, P. Elosegui, J. Esper, L. Hilliard, E. Himwich, E.D. Hoffman, D.D. Lakins, R.C. Lamb, F.G. Lemoine, J.L. Long, J.F. McGarry, D.S. MacMillan, B.P. Michael, C.E. Noll, E.C. Pavlis, M.R. Pearlman, C. Ruszczyk, M. Shappirio, and D.A. Stowers (2019), Modernizing and expanding the NASA Space Geodesy Network to meet future geodetic requirements, Journal of Geodesy, 93, 2263-2273, doi:10.1007/s00190-018-1204-5.
Noll, C.E., R.L. Ricklefs, J. Horvath, H. Müller, C. Schwatke, and M. Torrence (2019), Information resources supporting scientific research for the international laser ranging service , Journal of Geodesy, 93, 2211-2225, doi:10.1007/s00190-018-1207-2.
Shaver, D.J., D.L. Wu, N. Swarnalingam, A.L. Franz, E.V. Dao, and D.J. Emmons (2023), Comparison of a Bottom-Up GNSS Radio Occultation Method to Measure D- and E-Region Electron Densities with Ionosondes and FIRI, Remote Sens., 15, 4363, doi:10.3390/rs15184363.
Wu, D.L. (2024), THE INDUSTRY’S MOST TRUSTED TECHNICAL RESOURCE SINCE 1990 GUIDING MACHINES Combining GNSS and other sensors is key to effective machine control + A BLACK HOLE IN, A Black Hole in Earth Science. GPS World, 35, 31-32.
Wu, D.L. (2024), Recent GPS jamming in regions of geopolitical conflict, GPS World, 35, 38-43.
Wu, D.L. (2024), 1 JSTARS-2023-01679 GNSS Signal Jamming as Observed from Radio Occultation, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing., doi:10.1109/JSTARS.2024.3385738.
Wu, D.L., N. Swarnalingam, C.C.J.H. Salinas, D.J. Emmons, T.C. Summers, and R. Gardiner-Garden (2023), Optimal Estimation Inversion of Ionospheric Electron Density from GNSS-POD Limb Measurements: Part I-Algorithm and Morphology, Part I-Algorithm and Morphology. Remote Sens., 15, 3245, doi:10.3390/rs15133245.