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A Compound Statistical Model Based Radar HRRP Target Recognition

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3497))

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Abstract

In radar HRRP based statistical target recognition, one of the most challenging tasks is how to accurately describe HRRP’s statistical characteristics. Based on the scattering center model, range resolution cells are classified, in accordance with the number of predominant scatterers in each cell, into three statistical types. In order to model echoes of different types of resolution cells as the corresponding distribution forms, this paper develops a compound statistical model comprising two distribution forms, i.e. Gamma distribution and Gaussian mixture distribution, for target HRRP. Determination of the type of a resolution cell is achieved by using the rival penalized competitive learning (RPCL) algorithm. In the recognition experiments based on measured data, the proposed compound model not only has better recognition performance but also is more robust to noises than the two existing statistical models, i.e. Gaussian model and Gamma model.

This work was supported by the National Science Foundation of China (NO.60302009).

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Author information

Authors and Affiliations

  1. National Lab. of Radar Signal Processing, Xidian University, Xi’an, Shaanxi, 710071, China

    Lan Du, Hongwei Liu, Zheng Bao & Junying Zhang

Authors
  1. Lan Du
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  2. Hongwei Liu
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  3. Zheng Bao
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  4. Junying Zhang
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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. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiao-Feng Liao

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

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Du, L., Liu, H., Bao, Z., Zhang, J. (2005). A Compound Statistical Model Based Radar HRRP Target Recognition. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_60

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  • DOI: https://doi.org/10.1007/11427445_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25913-8

  • Online ISBN: 978-3-540-32067-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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