5 July 1995 Autoregressive spectral estimation with a priori object support for inverse synthetic aperture radar imagery
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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, Elulio Rodriguez, Benjamin C. Flores, Benjamin C. Flores, Sergio D. Cabrera, 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); doi: 10.1117/12.213085; https://doi.org/10.1117/12.213085
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