Abstract: A two-level approach to VLBI terrestrial and celestial reference frames using both least-squares adjustment and Kalman filter algorithms (2017 AGU Fall Meeting)

A two-level approach to VLBI terrestrial and celestial reference frames using both least-squares adjustment and Kalman filter algorithms

Benedikt Soja¹, Hana Krasna², Johannes Boehm², Richard S Gross¹, Claudio Abbondanza¹, Toshio Michael Chin¹, Michael B Heflin¹, Jay W Parker¹ and Xiaoping Wu¹, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Technische Universität Wien, Department of Geodesy and Geoinformation, Vienna, Austria

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