Abstract
This paper presents the structure and algorithms of fault-tolerant data processing in an integrated GPS-based airborne navigational equipment intended for enhancing the integrity of the whole navigational system. Failures and malfunctions of different sensors have been described by the additive Gauss-Markov models and by the outliers with the Markov properties. For such models sub-optimal algorithms have been developed using problem decomposition, Gauss approximation method and the generalized likelihood ratio (GLR) approach. It is shown that the system structure contains a GLR failure detector, a multichannel outliers screening procedure and a bias cancellation algorithm.
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