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Proceedings Paper

Complex SAR phase history modeling using two-dimensional parametric estimation techniques
Author(s): Chinghui J. Ying; Hung-Chih Chiang; Randolph L. Moses; Lee C. Potter
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Paper Abstract

Using a point scatterer assumption, high-frequency SAR phase histories can be modeled as a sum of 2D complex exponentials in additive noise. This paper summarizes our SAR signal modeling experience using the XPatch simulated scattering data. We apply several 2D parametric estimation techniques including 2D TLS-Prony, MEMP, 2D IQML, and 2D CLEAN to estimate the complex exponential model parameters. From the estimation results, we discuss the engineering trade-offs among memory requirement, computation requirement, and estimation accuracy.

Paper Details

Date Published: 10 June 1996
PDF: 12 pages
Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); doi: 10.1117/12.242046
Show Author Affiliations
Chinghui J. Ying, The Ohio State Univ. (United States)
Hung-Chih Chiang, The Ohio State Univ. (United States)
Randolph L. Moses, The Ohio State Univ. (United States)
Lee C. Potter, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 2757:
Algorithms for Synthetic Aperture Radar Imagery III
Edmund G. Zelnio; Robert J. Douglass, Editor(s)

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