Fault-Tolerant Data Processing in an Integrated Airborne Navigational Equipment

Abstract

Abstract This paper presents the structure and algorithms of fault - tolerant data processing in an integrated airborne navigational equipment. Failures and malfunctions of different sensors have been described by the additive Gauss-Markov models and by the outliers with the Markov chain properties. For such models suboptimal integrated filtering algorithms have been developed using a problem decomposition, the 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 circuit