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Expert system based on hidden Markov models for recognition of radar targets

Design of an expert system based on Hidden Markov Models for recognition of radar targets in a zone of ground surveillance radar is presented in the paper. Parameters of the real radar echo signal represented in a form of autoregressive models are used as an input of the designed expert system. The real radar echoes have been collected for the purpose of this research. Obtained results show that designed system has some certain advantages, but there are also some limitations in recognition of the analyzed sequences.