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A Self-Tuning Kalman Filter for Autonomous Navigation using the Global Positioning System (GPS)Most navigation systems currently operated by NASA are ground-based, and require extensive support to produce accurate results. Recently developed systems that use Kalman filter and GPS data for orbit determination greatly reduce dependency on ground support, and have potential to provide significant economies for NASA spacecraft navigation. These systems, however, still rely on manual tuning from analysts. A sophisticated neuro-fuzzy component fully integrated with the flight navigation system can perform the self-tuning capability for the Kalman filter and help the navigation system recover from estimation errors in real time.
Document ID
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Truong, S. H.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
August 19, 2013
Publication Date
May 1, 1999
Publication Information
Publication: 1999 Flight Mechanics Symposium
Subject Category
Space Communications, Spacecraft Communications, Command And Tracking
Distribution Limits
Work of the US Gov. Public Use Permitted.
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