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Title: Model-based tomographic reconstruction

Abstract

A model-based approach to estimating wall positions for a building is developed and tested using simulated data. It borrows two techniques from geophysical inversion problems, layer stripping and stacking, and combines them with a model-based estimation algorithm that minimizes the mean-square error between the predicted signal and the data. The technique is designed to process multiple looks from an ultra wideband radar array. The processed signal is time-gated and each section processed to detect the presence of a wall and estimate its position, thickness, and material parameters. The floor plan of a building is determined by moving the array around the outside of the building. In this paper we describe how the stacking and layer stripping algorithms are combined and show the results from a simple numerical example of three parallel walls.

Inventors:
; ;
Issue Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1054082
Patent Number(s):
8207886
Assignee:
Lawrence Livermore National Security, LLC (Livermore, CA)
Patent Classifications (CPCs):
G - PHYSICS G01 - MEASURING G01S - RADIO DIRECTION-FINDING
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Chambers, David H, Lehman, Sean K, and Goodman, Dennis M. Model-based tomographic reconstruction. United States: N. p., 2012. Web.
Chambers, David H, Lehman, Sean K, & Goodman, Dennis M. Model-based tomographic reconstruction. United States.
Chambers, David H, Lehman, Sean K, and Goodman, Dennis M. Tue . "Model-based tomographic reconstruction". United States. https://www.osti.gov/servlets/purl/1054082.
@article{osti_1054082,
title = {Model-based tomographic reconstruction},
author = {Chambers, David H and Lehman, Sean K and Goodman, Dennis M},
abstractNote = {A model-based approach to estimating wall positions for a building is developed and tested using simulated data. It borrows two techniques from geophysical inversion problems, layer stripping and stacking, and combines them with a model-based estimation algorithm that minimizes the mean-square error between the predicted signal and the data. The technique is designed to process multiple looks from an ultra wideband radar array. The processed signal is time-gated and each section processed to detect the presence of a wall and estimate its position, thickness, and material parameters. The floor plan of a building is determined by moving the array around the outside of the building. In this paper we describe how the stacking and layer stripping algorithms are combined and show the results from a simple numerical example of three parallel walls.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {6}
}

Works referenced in this record:

VisiBuilding: Sensing through Walls
conference, January 2006