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Proceedings Paper

Autoregressive spectral estimation with a priori object support for inverse synthetic aperture radar imagery
Author(s): Elulio Rodriguez; Benjamin C. Flores; Sergio D. Cabrera
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Paper Abstract

The purpose of this paper is to address the use of an autoregressive method to discern scattering center distribution. This information serves the purpose of a filter that is utilized to determine the minimum-weighted-norm least-squares solution of the autoregressive parameters. The parameters are employed to extrapolate a set of wideband target signatures collected in the spatial-frequency domain. The periodogram of these signatures yields a profile history or an image with high resolution and accurate reflectivity measurements. The iterative autoregressive method is compared to the principal component modified covariance to illustrate performance improvement.

Paper Details

Date Published: 5 July 1995
PDF: 12 pages
Proc. SPIE 2485, Automatic Object Recognition V, (5 July 1995); doi: 10.1117/12.213085
Show Author Affiliations
Elulio Rodriguez, Univ. of Texas/El Paso (United States)
Benjamin C. Flores, Univ. of Texas/El Paso (United States)
Sergio D. Cabrera, Univ. of Texas/El Paso (United States)


Published in SPIE Proceedings Vol. 2485:
Automatic Object Recognition V
Firooz A. Sadjadi, Editor(s)

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