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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Spolecnost pro radioelektronicke inzenyrstvi
2014-09-01
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Online Access: | http://www.radioeng.cz/fulltexts/2014/14_03_0842_0851.pdf |
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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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