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This paper proposes an efficient online, hybrid, Bayesian multi-sensor fusion algorithm for target tracking in the presence of modelled and unmodelled faults. The algorithm comprises two stages. The first stage attempts to remove modelled faults from each individual sensor estimate. The second stage de-emphasises estimates which have been subject to unanticipated faults and are still faulty despite...