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Proceedings Paper

Finite element method framework for RF-based through-the-wall mapping
Author(s): Rafael Saraiva Campos; Lisandro Lovisolo; Marcello Luiz R. de Campos
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Paper Abstract

Radiofrequency (RF) Through-the-Wall Mapping (TWM) employs techniques originally applied in X-Ray Computerized Tomographic Imaging to map obstacles behind walls. It aims to provide valuable information for rescuing efforts in damaged buildings, as well as for military operations in urban scenarios. This work defines a Finite Element Method (FEM) based framework to allow fast and accurate simulations of the reconstruction of floors blueprints, using Ultra High-Frequency (UHF) signals at three different frequencies (500 MHz, 1 GHz and 2 GHz). To the best of our knowledge, this is the first use of FEM in a TWM scenario. This framework allows quick evaluation of different algorithms without the need to assemble a full test setup, which might not be available due to budgetary and time constraints. Using this, the present work evaluates a collection of reconstruction methods (Filtered Backprojection Reconstruction, Direct Fourier Reconstruction, Algebraic Reconstruction and Simultaneous Iterative Reconstruction) under a parallel-beam acquisition geometry for different spatial sampling rates, number of projections, antenna gains and operational frequencies. The use of multiple frequencies assesses the trade-off between higher resolution at shorter wavelengths and lower through-the-wall penetration. Considering all the drawbacks associated with such a complex problem, a robust and reliable computational setup based on a flexible method such as FEM can be very useful.

Paper Details

Date Published: 5 May 2017
PDF: 20 pages
Proc. SPIE 10184, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement Applications XVI, 101840U (5 May 2017); doi: 10.1117/12.2262000
Show Author Affiliations
Rafael Saraiva Campos, Univ. Federal do Rio de Janeiro (Brazil)
Ctr. Federal de Educação Tecnológica Celso Suckow da Fonseca (Brazil)
Lisandro Lovisolo, Univ. do Estado do Rio de Janeiro (Brazil)
Marcello Luiz R. de Campos, Univ. Federal do Rio de Janeiro (Brazil)


Published in SPIE Proceedings Vol. 10184:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement Applications XVI
Edward M. Carapezza, Editor(s)

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