Title
RF Tomography for Below-Ground Imaging of Extended Areas and Close-in Sensing
Abstract
Three extensions to radio-frequency (RF) tomography for imaging of voids under wide areas of regard are presented. These extensions are motivated by three challenges. One challenge is the lateral wave, which propagates in proximity of the air-earth interface and represents the predominant radiation mechanism for wide-area surveillance, sensing of denied terrain, or close-in sensing. A second challenge is the direct-path coupling between transmitters (Txs) and receivers (Rxs), that affects the measurements. A third challenge is the generation of clutter by the unknown distribution of anomalies embedded in the ground. These challenges are addressed and solved using the following strategies: 1) A forward model for RF tomography that accounts for lateral waves expressed in closed form (for fast computation); 2) a strategy that reduces the direct-path coupling between any Tx-Rx pair; and 3) an improved inversion scheme that is robust with respect to noise, clutter, and high attenuation. A finite-difference time domain simulation of a scenario representing close-in sensing of a denied area is performed, and reconstructed images obtained using the improved and the classical-models of RF tomography are compared.
Year
DOI
Venue
2010
10.1109/LGRS.2009.2039918
IEEE Geosci. Remote Sensing Lett.
Keywords
Field
DocType
Green's function methods,buried object detection,finite difference time-domain analysis,geophysical image processing,geophysical techniques,ground penetrating radar,image reconstruction,remote sensing by radar,tomography,Green's functions,RF tomography,below-ground imaging,close-in sensing,direct-path coupling,extended areas,finite-difference time domain simulation,ground-penetrating radar,image reconstruction,inversion scheme,radiation mechanism,radio-frequency tomography,transmitter-receiver pair,tunnel detection,Green's functions,ground-penetrating radar,lateral waves,radio-frequency tomography,tunnel detection
Iterative reconstruction,Noise reduction,Time domain,Transmitter,Clutter,Remote sensing,Tomography,Radio frequency,Attenuation,Mathematics
Journal
Volume
Issue
ISSN
7
3
1545-598X
Citations 
PageRank 
References 
9
0.83
3
Authors
4
Name
Order
Citations
PageRank
Lorenzo Lo Monte1383.50
Danilo Erricolo2618.83
F. Soldovieri316417.72
Michael C. Wicks411914.06