A mixture model approach to automatic radar target recognition using WinBUGS

摘要

This paper considers the use of the software package WinBUGS for an application to a previously documented technique for automatic radar target recognition. Mixture models under a Bayesian formalism are used to model the probability densities of radar measurements from given classes. WinBUGS is then used to construct a Markov chain Monte Carlo sampler that allows implementation of this Bayesian approach. The model developed is applied to radar range profiles from seven classes of military ships.