An Extended Virtual Aperture Imaging Model for Through-the-wall Sensing and Its Environmental Parameters Estimation

Through-the-wall imaging (TWI) radar has been given increasing attention in recent years. However, prior knowledge about environmental parameters, such as wall thickness and dielectric constant, and the standoff distance between an array and a wall, is generally unavailable in real applications. Thu...

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Main Authors: Yongping Song, Tian Jin, Biying Lu, Jun Hu, Zhimin Zhou
Format: Article
Language:English
Published: Spolecnost pro radioelektronicke inzenyrstvi 2014-09-01
Series:Radioengineering
Subjects:
Online Access:http://www.radioeng.cz/fulltexts/2014/14_03_0842_0851.pdf
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spelling doaj-b6cffd09ad6847479c9a0b3b0f96150f2020-11-24T21:01:32ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122014-09-01233842851An Extended Virtual Aperture Imaging Model for Through-the-wall Sensing and Its Environmental Parameters EstimationYongping SongTian JinBiying LuJun HuZhimin ZhouThrough-the-wall imaging (TWI) radar has been given increasing attention in recent years. However, prior knowledge about environmental parameters, such as wall thickness and dielectric constant, and the standoff distance between an array and a wall, is generally unavailable in real applications. Thus, targets behind the wall suffer from defocusing and displacement under the conventional imag¬ing operations. To solve this problem, in this paper, we first set up an extended imaging model of a virtual aperture obtained by a multiple-input-multiple-output array, which considers the array position to the wall and thus is more applicable for real situations. Then, we present a method to estimate the environmental parameters to calibrate the TWI, without multiple measurements or dominant scatter¬ers behind-the-wall to assist. Simulation and field experi¬ments were performed to illustrate the validity of the pro¬posed imaging model and the environmental parameters estimation method.www.radioeng.cz/fulltexts/2014/14_03_0842_0851.pdfThrough-the-wall radarenvironmental parameter estimationvirtual aperturemultiple-input multiple-output (MIMO)
collection DOAJ
language English
format Article
sources DOAJ
author Yongping Song
Tian Jin
Biying Lu
Jun Hu
Zhimin Zhou
spellingShingle Yongping Song
Tian Jin
Biying Lu
Jun Hu
Zhimin Zhou
An Extended Virtual Aperture Imaging Model for Through-the-wall Sensing and Its Environmental Parameters Estimation
Radioengineering
Through-the-wall radar
environmental parameter estimation
virtual aperture
multiple-input multiple-output (MIMO)
author_facet Yongping Song
Tian Jin
Biying Lu
Jun Hu
Zhimin Zhou
author_sort Yongping Song
title An Extended Virtual Aperture Imaging Model for Through-the-wall Sensing and Its Environmental Parameters Estimation
title_short An Extended Virtual Aperture Imaging Model for Through-the-wall Sensing and Its Environmental Parameters Estimation
title_full An Extended Virtual Aperture Imaging Model for Through-the-wall Sensing and Its Environmental Parameters Estimation
title_fullStr An Extended Virtual Aperture Imaging Model for Through-the-wall Sensing and Its Environmental Parameters Estimation
title_full_unstemmed An Extended Virtual Aperture Imaging Model for Through-the-wall Sensing and Its Environmental Parameters Estimation
title_sort extended virtual aperture imaging model for through-the-wall sensing and its environmental parameters estimation
publisher Spolecnost pro radioelektronicke inzenyrstvi
series Radioengineering
issn 1210-2512
publishDate 2014-09-01
description Through-the-wall imaging (TWI) radar has been given increasing attention in recent years. However, prior knowledge about environmental parameters, such as wall thickness and dielectric constant, and the standoff distance between an array and a wall, is generally unavailable in real applications. Thus, targets behind the wall suffer from defocusing and displacement under the conventional imag¬ing operations. To solve this problem, in this paper, we first set up an extended imaging model of a virtual aperture obtained by a multiple-input-multiple-output array, which considers the array position to the wall and thus is more applicable for real situations. Then, we present a method to estimate the environmental parameters to calibrate the TWI, without multiple measurements or dominant scatter¬ers behind-the-wall to assist. Simulation and field experi¬ments were performed to illustrate the validity of the pro¬posed imaging model and the environmental parameters estimation method.
topic Through-the-wall radar
environmental parameter estimation
virtual aperture
multiple-input multiple-output (MIMO)
url http://www.radioeng.cz/fulltexts/2014/14_03_0842_0851.pdf
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