Satellite‐Beacon Ionospheric‐Scintillation Global Model of the Upper Atmosphere (SIGMA) III: Scintillation Simulation Using A Physics‐Based Plasma Model

Plasma Model ◽

Satellite-beacon Ionospheric-scintillation Global Model of the upper Atmosphere (SIGMA) I: High-latitude sensitivity study of the model parameters

Journal of Geophysical Research Space Physics ◽

10.1002/2013ja019699 ◽

2014 ◽

Vol 119 (5) ◽

pp. 4026-4043 ◽

Cited By ~ 22

Author(s):

K. B. Deshpande ◽

G. S. Bust ◽

C. R. Clauer ◽

C. L. Rino ◽

C. S. Carrano

Keyword(s):

High Latitude ◽

Sensitivity Study ◽

Global Model ◽

Upper Atmosphere ◽

Model Parameters ◽

Satellite‐beacon Ionospheric‐scintillation Global Model of the upper Atmosphere (SIGMA) II: Inverse modeling with high‐latitude observations to deduce irregularity physics

Journal of Geophysical Research Space Physics ◽

10.1002/2016ja022943 ◽

2016 ◽

Vol 121 (9) ◽

pp. 9188-9203 ◽

Cited By ~ 13

Author(s):

K. B. Deshpande ◽

G. S. Bust ◽

C. R. Clauer ◽

W. A. Scales ◽

N. A. Frissell ◽

...

Keyword(s):

High Latitude ◽

Inverse Modeling ◽

Global Model ◽

Upper Atmosphere ◽

Source-Receiver Ionospheric-Scintillation Global Model of the Upper Atmosphere (SIGMA): Sensitivity Analysis

2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC) ◽

10.23919/ursi-at-rasc.2018.8471654 ◽

2018 ◽

Author(s):

James P. Conroy ◽

Kshitija Deshpande ◽

Wayne Scales ◽

Amir Zaghloul

Keyword(s):

Sensitivity Analysis ◽

Global Model ◽

Upper Atmosphere ◽

Ionospheric Scintillation

2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) ◽

Satellite-beacon lonospheric-scintillation global model of the upper atmosphere (SIGMA): Enhancements and GPS signal propagation modeling

10.23919/ursigass.2017.8105119 ◽

2017 ◽

Cited By ~ 1

Author(s):

James P. Conroy ◽

Kshitija Deshpande

Keyword(s):

Signal Propagation ◽

Global Model ◽

Upper Atmosphere ◽

Propagation Modeling ◽

Dayside thermal structure of Venus' upper atmosphere characterized by a global model

Journal of Geophysical Research Atmospheres ◽

10.1029/2012je004079 ◽

2012 ◽

Vol 117 (E8) ◽

pp. n/a-n/a ◽

Cited By ~ 15

Author(s):

A. S. Brecht ◽

S. W. Bougher

Keyword(s):

Thermal Structure ◽

Global Model ◽

Upper Atmosphere

Measurements of the temperature and density of the upper atmosphere using artificial periodic irregularities during the summer seasons of 1999–2002

International Journal of Geomagnetism and Aeronomy ◽

10.1029/2004gi000061 ◽

2004 ◽

Vol 5 (1) ◽

Cited By ~ 11

Author(s):

A. V. Tolmacheva

Keyword(s):

Upper Atmosphere

Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017) ◽

Spaced Multi-GNSS Receiver Array as Ionosphere Radar for Irregularity Drift Velocity Estimation during High Latitude Ionospheric Scintillation

10.33012/2017.15345 ◽

2017 ◽

Author(s):

Jun Wang ◽

Yu (Jade) Morton ◽

Robert Robinson

Keyword(s):

Drift Velocity ◽

High Latitude ◽

Velocity Estimation ◽

Gnss Receiver ◽

Receiver Array

Proceedings of the 2020 International Technical Meeting of The Institute of Navigation ◽

Unscented Kalman Filter based Carrier Tracking to Mitigate Ionospheric Scintillation Threat in High latitude for Maritime PNT

10.33012/2020.17182 ◽

2020 ◽

Author(s):

R. Tiwari ◽

J. Yin ◽

M. Johnston ◽

Stig Eric Christiansen

Keyword(s):

Kalman Filter ◽

High Latitude ◽

Unscented Kalman Filter ◽

Ionospheric Scintillation

Proceedings of the 2017 International Technical Meeting of The Institute of Navigation ◽

On the Use and Performance of New Galileo Signals for Ionospheric Scintillation Monitoring over Antarctica

10.33012/2017.14942 ◽

2017 ◽

Cited By ~ 4

Author(s):

Rodrigo Romero ◽

Nicola Linty ◽

Calogero Cristodaro ◽

Fabio Dovis ◽

Lucilla Alfonsi

Keyword(s):

And Performance

Proceedings of the 51st Annual Precise Time and Time Interval Systems and Applications Meeting ◽

Machine learning based Automatic Detection of Ionospheric Scintillation-like GNSS Oscillator Anomaly Using Dual Frequency Signals

10.33012/2020.17311 ◽

2020 ◽

Author(s):

Yunxiang Liu ◽

Y.T. Jade Morton

Keyword(s):

Machine Learning ◽

Automatic Detection ◽

Dual Frequency