Share Email Print

Proceedings Paper

Automatic HRR target recognition based on matrix pencil method and multiresolution neural network
Author(s): Xun Zhang; Zhaowen Zhuang; Guirong Guo
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 23 June 1997
PDF: 8 pages
Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); doi: 10.1117/12.277138
Show Author Affiliations
Xun Zhang, National Univ. of Defense Technology (China)
Zhaowen Zhuang, National Univ. of Defense Technology (China)
Guirong Guo, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 3069:
Automatic Target Recognition VII
Firooz A. Sadjadi, Editor(s)

© SPIE. Terms of Use
Back to Top