Methodology of automated ionosphere front velocity estimation for ground-based augmentation of GNSS

Author:

Bang Eugene1,Lee Jiyun1

Affiliation:

1. Korea Advanced Institute of Science and Technology; Daejeon South Korea

Publisher

American Geophysical Union (AGU)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Condensed Matter Physics

Reference22 articles.

1. Datta-Barua , S. T. Walter S. Pullen M. Luo J. Blanch P. Enge 2002 Using WAAS ionospheric data to estimate LAAS short baseline gradients

2. Ionospheric threat parameterization for local area global-positioning-system-based aircraft landing system;Datta-Barua;AIAA Aircraft J.,2010

3. Ene , A. D. Qiu M. Luo S. Pullen P. Enge 2005 A comprehensive ionosphere storm data analysis method to support LAAS threat model development

4. Clustering and the continuous k-means algorithm;Faber;Los Alamos Science,1994

5. Long-term ionospheric anomaly monitoring for ground based augmentation systems;Jung;Radio Sci.,2012

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