Resolving wall ambiguities using angular diverse synthetic arrays

Published

Conference Paper

Model-based algorithms that attempt to localize targets and estimate the structure within a building using data from external sensors have received much attention in recent years. The potential benefits to homeland security and urban warfare are exceedingly apparent. Accurately estimating the thickness and dielectric constant of the exterior wall could prove to be a critical first step in determining the layout within, i.e., the location of interior walls, doorways, stairwells, etc. However, data collection using a linear sensor arrangement yields an ambiguous two dimensional objective function for the wall parameters, rendering maximum likelihood methods ineffective. We show that a spatially diverse aperture obviates the wall parameter ambiguity and allows accurate estimation of thickness and permittivity using dynamic logic, an iterative model-based approach to maximum likelihood. ©2007 IEEE.

Full Text

Duke Authors

Cited Authors

  • Linnehan, R; Schindler, J; Brady, D; Kozma, R; Deming, R; Perlovsky, L

Published Date

  • December 1, 2007

Published In

Start / End Page

  • 2758 - 2763

International Standard Serial Number (ISSN)

  • 1098-7576

International Standard Book Number 10 (ISBN-10)

  • 142441380X

International Standard Book Number 13 (ISBN-13)

  • 9781424413805

Digital Object Identifier (DOI)

  • 10.1109/IJCNN.2007.4371395

Citation Source

  • Scopus