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Proceedings Paper

Mastering interfering scatterers in HRR data for ATR systems
Author(s): Roland Jonsson; Jan O. Hagberg; Fredrik Dicander
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Paper Abstract

The problem of interfering scatters in high range resolution (HRR) radar data is addressed in this paper. We derive, using a scattering center representation of target, classifiers that can handle the unknown phases of the centers. We also show how to incorporate uncertainties in the magnitudes and positions of the scattering centers. The automatic target recognition (ATR) problem is discussed in a Bayesian setting, and we show how the uncertainties can be handled by such scattering center classifiers. Monte Carlo simulations are used to evaluate the performance and robustness of the classifiers for simple test cases, and data from electromagnetic prediction codes are used to illustrate the behavior on real targets.

Paper Details

Date Published: 24 August 2000
PDF: 13 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396353
Show Author Affiliations
Roland Jonsson, Ericsson Microwave Systems AB (Sweden)
Jan O. Hagberg, Ericsson Microwave Systems AB (Sweden)
Fredrik Dicander, Ericsson Microwave Systems AB (Sweden)


Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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