Actions for Attitude determination and calibration using a recursive maximum likelihood-based adaptive Kalman filter

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Attitude determination and calibration using a recursive maximum likelihood-based adaptive Kalman filter

Author
Kelly, D. A.
Published
Dec 1, 1990.
Physical Description
1 electronic document
Additional Creators
Lee, G. K. F. and Fermelia, A.
Online Version

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Unclassified, Unlimited, Publicly available.
Free-to-read Unrestricted online access
Summary
An adaptive Kalman filter design that utilizes recursive maximum likelihood parameter identification is discussed. At the center of this design is the Kalman filter itself, which has the responsibility for attitude determination. At the same time, the identification algorithm is continually identifying the system parameters. The approach is applicable to nonlinear, as well as linear systems. This adaptive Kalman filter design has much potential for real time implementation, especially considering the fast clock speeds, cache memory and internal RAM available today. The recursive maximum likelihood algorithm is discussed in detail, with special attention directed towards its unique matrix formulation. The procedure for using the algorithm is described along with comments on how this algorithm interacts with the Kalman filter.
Other Subject(s)
Collection
NASA Technical Reports Server (NTRS) Collection.
Note
Document ID: 19910007775.
Accession ID: 91N17088.
NASA, Goddard Space Flight Center, Flight Mechanics(Estimation Theory Symposium, 1990; p 255-274.
Terms of Use and Reproduction
No Copyright.
View MARC record | catkey: 15682702