Automatic HRR target recognition based on matrix pencil method and multiresolution neural network

Xun Zhang; Zhaowen Zhuang; Guirong Guo

doi:10.1117/12.277138

23 June 1997 Automatic HRR target recognition based on matrix pencil method and multiresolution neural network

Xun Zhang, Zhaowen Zhuang, Guirong Guo

Proceedings Volume 3069, Automatic Target Recognition VII; (1997) https://doi.org/10.1117/12.277138
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

With the increased availability of wideband radars, high resolution in range which means target discrimination can be possible. In this paper, a new approach for target recognition is proposed and tested on backscattering returns of high range resolution (HRR) radar. The matrix pencil method is used to extract scattering centers from full-polarization multi- frequency scattering returns. Feature vectors are constructed using the concept of a transient polarization response (TPR). The classification of feature vectors is performed by the multiresolution neural network that provides some properties superior to back-propagation neural networks. The algorithm is applied to the recognition of five scaled models of war aircrafts at different signal-to-noise ratios.

Citation Download Citation

Xun Zhang, Zhaowen Zhuang, and Guirong Guo "Automatic HRR target recognition based on matrix pencil method and multiresolution neural network", Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); https://doi.org/10.1117/12.277138

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