Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets
This paper presents a new target recognition scheme via the neural network based on Hidden Markov Model (HMM), which processes the multiaspect features. The target features are extracted by the adaptive gaussian representation (AGR) from the view of physics. Discrimination results are presented for ISAR radar return signal.
KeywordsHide Markov Model Nonstationary Signal Hide Markov Model Model Radar Target Forward Probability
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