23 June 1997 Automatic HRR target recognition based on matrix pencil method and multiresolution neural network
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xun Zhang, Xun Zhang, Zhaowen Zhuang, Zhaowen Zhuang, Guirong Guo, 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); doi: 10.1117/12.277138; https://doi.org/10.1117/12.277138
PROCEEDINGS
8 PAGES


SHARE
Back to Top