Hidden markov model networks for multiaspect discriminative features extraction from radar targets

Authors:
Feng Zhu;Yafeng Hu;Xianda Zhang;Deguang Xie
Affiliations:
Dept. of Automation, Tsinghua University, Beijing, China;Dept. of Automation, Tsinghua University, Beijing, China;Dept. of Automation, Tsinghua University, Beijing, China;Dept. of Automation, Tsinghua University, Beijing, China
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Year:
2006

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Abstract

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.