Paper
24 August 2000 Mastering interfering scatterers in HRR data for ATR systems
Roland Jonsson, Jan O. Hagberg, Fredrik Dicander
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Roland Jonsson, Jan O. Hagberg, and Fredrik Dicander "Mastering interfering scatterers in HRR data for ATR systems", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396353
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Cited by 1 scholarly publication.
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KEYWORDS
Scattering

Sensors

Target recognition

Data modeling

Electromagnetic scattering

Automatic target recognition

Radar

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