Feed-Forward Neural Network Using SARPROP Algorithm and Its Application in Radar Target Recognition

  • Zun-Hua Guo
  • Shao-Hong Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)


The feed-forward neural network using simulated annealing resilient propagation (SARPROP) algorithm was applied to the research community of radar target recognition in this paper. The high resolution radar range profiles were selected as the feature vectors for data representation, and the product spectrum based features were introduced to improve classification performance. Simulations are presented to identify the four different aircrafts. The results show that the SARPROP algorithm combined with product spectrum based features is effective and robust for the application of radar target recognition.


Recognition Rate Group Delay Product Spectrum Aircraft Model Automatic Target Recognition 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zun-Hua Guo
    • 1
  • Shao-Hong Li
    • 1
  1. 1.Group 203, School of Electronics and Information EngineeringBeiHang UniversityBeijingChina

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