Autoregressive spectral estimation with a priori object support for inverse synthetic aperture radar imagery

Elulio Rodriguez; Benjamin C. Flores; Sergio D. Cabrera

doi:10.1117/12.213085

5 July 1995 Autoregressive spectral estimation with a priori object support for inverse synthetic aperture radar imagery

Elulio Rodriguez, Benjamin C. Flores, Sergio D. Cabrera

Author Affiliations +

Proceedings Volume 2485, Automatic Object Recognition V; (1995) https://doi.org/10.1117/12.213085
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

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Elulio Rodriguez, Benjamin C. Flores, and Sergio D. Cabrera "Autoregressive spectral estimation with a priori object support for inverse synthetic aperture radar imagery", Proc. SPIE 2485, Automatic Object Recognition V, (5 July 1995); https://doi.org/10.1117/12.213085

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