Skip to main content
SpringerLink
Log in

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

  • Conference paper
Book cover Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3971))

Included in the following conference series:

  • 68 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Paul, R.R., Priya, K.B.: Hidden Markov Models for Multiaspect Target Classification. IEEE Trans. Signal Processing 47(7), 2035–2040 (1999)

    Article  Google Scholar 

  2. Bingnan, P., Zheng, B.: Radar Target Recognition Based on Peak Location of HRR Profile and HMMs Classifiers. In: Proc. Radar, pp. 414–418 (2002)

    Google Scholar 

  3. Edmondo, T., Marco, G.: Robust Combination of Neural Networks and Hidden Markov Models for Speech Recognition. IEEE Trans. Neural Networks 14(11), 1519–1531 (2003)

    Google Scholar 

  4. Chen, V.C., Ling, H.: Joint Time-Frequency Analysis for Radar Signal and Image Processing. IEEE Signal Processing Mag. 16(3), 81–93 (1999)

    Article  Google Scholar 

  5. Yanting, D., Lawrence, C.: Rate-Distortion Analysis of Discrete-HMM Pose Estimation via Multiaspect Scattering Data. IEEE Trans. Pattern Analysis and Machine Intelligence 25(7), 872–883 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Automation, Tsinghua University, Beijing, 100084, China

    Feng Zhu, Yafeng Hu, Xianda Zhang & Deguang Xie

Authors
  1. Feng Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yafeng Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xianda Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Deguang Xie
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhu, F., Hu, Y., Zhang, X., Xie, D. (2006). Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11759966_209

Download citation

  • DOI: https://doi.org/10.1007/11759966_209

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34439-1

  • Online ISBN: 978-3-540-34440-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation