6 September 2019 Intersample distance in radiofrequency-based through-the-wall mapping for acceptable reconstruction quality
Rafael Saraiva Campos, Lisandro Lovisolo, Marcello Luiz R. de Campos
Author Affiliations +
Abstract

The ability to obtain reconstructed floor maps of acceptable quality with less samples speeds up the acquisition phase, which is of the highest relevance for most radio-frequency (RF)-based through-the-wall mapping (TWM) applications, particularly in the area of law enforcement and security. The key issue impacting the acquisition time is the quantity of necessary samples for acceptable floor reconstruction quality, which in turn depends on the intersample distance. We evaluate the impact of enlarging the intersample distance in the reconstruction quality of an algebraic method applied to RF-based TWM, under a parallel-beam acquisition geometry. Finite-element method (FEM) is used to define a physical model, allowing high accuracy in the simulation results. Two test floor maps are built in the FEM model, and the correspondent very-high frequency RF samples are generated in each case, composing the so-called sinograms. The sinograms are forwarded to the algebraic reconstruction method—simultaneous iterative reconstruction technique—to provide estimates of the original floor maps. In simulations, the use of sinogram upsampling to improve image resolution leads to floor maps of acceptable reconstruction quality in a parallel-beam RF-based TWM setup with intersample distances up to two wavelengths for an angular step of 4.5 deg.

© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2019/$28.00 © 2019 SPIE
Rafael Saraiva Campos, Lisandro Lovisolo, and Marcello Luiz R. de Campos "Intersample distance in radiofrequency-based through-the-wall mapping for acceptable reconstruction quality," Journal of Applied Remote Sensing 13(3), 036508 (6 September 2019). https://doi.org/10.1117/1.JRS.13.036508
Received: 26 November 2018; Accepted: 16 August 2019; Published: 6 September 2019
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KEYWORDS
Reconstruction algorithms

Finite element methods

Image quality

Transmitters

Receivers

Antennas

Image segmentation

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