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Radar target recognition based on neural network

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Journal of Electronics (China)

Abstract

The problem of radar target recognition using range profiles is investigated in this paper, based on a Radial Basis Function Network(RBFN). A preprocessing method is proposed, which performs amplitude average of the range profiles to obtain more stable patterns. After pointing out the limitedness of traditional empirical formula, this paper also gives a method of estimating the shape parameter σ of a Gaussian kernel function according to spatial distribution of the training samples. It is shown that the method proposed in this paper offers promise for target recognition, from both the theoretical analysis and the experimental results of rotating platform imaging based on data acquired in a microwave anechoic chamber.

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Authors and Affiliations

  1. Institute of Electronics Engineering, Xidian University, 710071, Xi'an

    Zhao Qun, Bao Zheng & Ye Wei

Authors
  1. Zhao Qun
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  2. Bao Zheng
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  3. Ye Wei
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Additional information

Supported by Foundation of Electronic Science Institute, Ministry of Electronic Industry

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Qun, Z., Zheng, B. & Wei, Y. Radar target recognition based on neural network. J. of Electron.(China) 13, 1–10 (1996). https://doi.org/10.1007/BF02684708

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  • DOI: https://doi.org/10.1007/BF02684708

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