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Proceedings Paper

Maximum-likelihood estimation (MLE) of rectangular cavity dimensions from scattering data
Author(s): Arnab Kumar Shaw; Titash Rakshit; Byron M. Welsh
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Paper Abstract

The problem of estimating the dimension parameters of rectangular and circular cavities from scattering data is addressed in this paper. By incorporating the modal solutions of the waveguides in the Complex Phase History Signal model, the Maximum-Likelihood Estimation (MLE) criterion has been developed for the rectangular cavity. It is shown that the MLE is a multi-dimensional non-linear optimization problem and optimization techniques have been proposed to address this problem. The cavity detection problem has also been formulated within the multiple Hypotheses testing framework. The proposed ML estimation approaches have been verified with simulation studies.

Paper Details

Date Published: 24 August 2000
PDF: 12 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396326
Show Author Affiliations
Arnab Kumar Shaw, Wright State Univ. (United States)
Titash Rakshit, Wright State Univ. (United States)
Byron M. Welsh, Mission Research Corp. (United States)

Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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