Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets

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...

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Bibliographische Detailangaben
Hauptverfasser: Zhu, Feng, Hu, Yafeng, Zhang, Xianda, Xie, Deguang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Connectionism. Neural networks
Exact sciences and technology
Forward Probability
Hide Markov Model
Hide Markov Model Model
Nonstationary Signal
Radar Target
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Beschreibung
Zusammenfassung: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.
ISSN:0302-9743
1611-3349
DOI:10.1007/11759966_209