Maximum-likelihood estimation (MLE) of rectangular cavity dimensions from scattering data

Arnab Kumar Shaw; Titash Rakshit; Byron M. Welsh

doi:10.1117/12.396326

24 August 2000 Maximum-likelihood estimation (MLE) of rectangular cavity dimensions from scattering data

Arnab Kumar Shaw, Titash Rakshit, Byron M. Welsh

Proceedings Volume 4053, Algorithms for Synthetic Aperture Radar Imagery VII; (2000) https://doi.org/10.1117/12.396326
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Arnab Kumar Shaw, Titash Rakshit, and Byron M. Welsh "Maximum-likelihood estimation (MLE) of rectangular cavity dimensions from scattering data", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396326

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