Abstract The TRIAD algorithm is shown to be derivable as a maximum-likelihood estimator. In particular, using the QUEST measurement model, the TRIAD attitude error covariance matrix can be derived as the inverse of the Fisher information matrix. The treatment here gives a microscopic analysis of the algorithm and its connection to the QUEST algorithm. It also sheds valuable light on the origin of discrete degeneracies in deterministic attitude estimation.
The TRIAD algorithm as maximum likelihood estimation
The Journal of the Astronautical Sciences ; 54 , 1 ; 113-123
2006
Article (Journal)
English
The TRIAD algorithm as maximum likelihood estimation
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