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 Laboratory (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 = {Tue Jun 26 00:00:00 EDT 2012},
month = {Tue Jun 26 00:00:00 EDT 2012}
}
Works referenced in this record:
An Overview of Through the Wall Surveillance for Homeland Security
conference, October 2005
- Borek, Stanley E.
- 34th Applied Imagery and Pattern Recognition Workshop (AIPR'05)
VisiBuilding: Sensing through Walls
conference, January 2006
- Baranowski, E. J.
- Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.