In this paper, we propose a recursive algorithm to obtain estimations of the false alarm probability in discrete linear systems with uncertain observations. We use a Bayesian approach, by specifying a Beta prior distribution for the unknown parameter and considering a quadratic loss function. By means of successive approximations of mixture distributions, we obtain a recursive algorithm which provides approximations for the Bayes estimators of the false alarm probability.

keywords: uncertain observations, false alarm probability.