Paper
10 June 1996 Complex SAR phase history modeling using two-dimensional parametric estimation techniques
Chinghui J. Ying, Hung-Chih Chiang, Randolph L. Moses, Lee C. Potter
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chinghui J. Ying, Hung-Chih Chiang, Randolph L. Moses, and 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); https://doi.org/10.1117/12.242046
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Cited by 7 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Data modeling

Scattering

Signal to noise ratio

Algorithm development

Error analysis

Computer simulations

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