10 June 1996 Complex SAR phase history modeling using two-dimensional parametric estimation techniques
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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.
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Chinghui J. Ying, Chinghui J. Ying, Hung-Chih Chiang, Hung-Chih Chiang, Randolph L. Moses, Randolph L. Moses, Lee C. Potter, Lee C. Potter, } "Complex SAR phase history modeling using two-dimensional parametric estimation techniques", Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); doi: 10.1117/12.242046; https://doi.org/10.1117/12.242046
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