Staff View: A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.

A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.

Bibliographic Details
Main Authors:	Amin, Moeness., Ahmad, Fauzia., Zhang, Wenji.
Format:	Villanova Faculty Authorship
Language:	English
Published:	2011
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173030

Main Authors:

Amin, Moeness., Ahmad, Fauzia., Zhang, Wenji.

Format:

Villanova Faculty Authorship

Language:

English

Published:

2011

Online Access:

http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173030

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spelling	A Compressive Sensing Approach to Moving Target Indication for Urban Sensing. Amin, Moeness. Ahmad, Fauzia. Zhang, Wenji. In this paper, we apply compressive sensing to moving target indication for urban sensing and through-thewall imaging applications using stepped-frequency radar. In particular, we consider sparsity-driven imaging combined with change detection. Stationary targets and clutter are removed via change detection, resulting in a sparse scene of few slowmoving targets inside enclosed structures and behind walls. Using compressive sensing, a sizable reduction in the number of samples is achieved without degradation in system performance. Laboratory experiments are conducted to validate the proposed approach. 2011 Villanova Faculty Authorship vudl:173030 Proceedings of the IEEE Radar Conference, Kansas City, MI, May 2011. (submitted). en
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dc.creator_txt_mv	Amin, Moeness. Ahmad, Fauzia. Zhang, Wenji.
dc.description_txt_mv	In this paper, we apply compressive sensing to moving target indication for urban sensing and through-thewall imaging applications using stepped-frequency radar. In particular, we consider sparsity-driven imaging combined with change detection. Stationary targets and clutter are removed via change detection, resulting in a sparse scene of few slowmoving targets inside enclosed structures and behind walls. Using compressive sensing, a sizable reduction in the number of samples is achieved without degradation in system performance. Laboratory experiments are conducted to validate the proposed approach.
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author	Amin, Moeness. Ahmad, Fauzia. Zhang, Wenji.
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description	In this paper, we apply compressive sensing to moving target indication for urban sensing and through-thewall imaging applications using stepped-frequency radar. In particular, we consider sparsity-driven imaging combined with change detection. Stationary targets and clutter are removed via change detection, resulting in a sparse scene of few slowmoving targets inside enclosed structures and behind walls. Using compressive sensing, a sizable reduction in the number of samples is achieved without degradation in system performance. Laboratory experiments are conducted to validate the proposed approach.
title	A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.
title_full	A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.
title_fullStr	A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.
title_full_unstemmed	A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.
title_short	A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.
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A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.
Amin, Moeness.
Ahmad, Fauzia.
Zhang, Wenji.
In this paper, we apply compressive sensing to moving target indication for urban sensing and through-thewall imaging applications using stepped-frequency radar. In particular, we consider sparsity-driven imaging combined with change detection. Stationary targets and clutter are removed via change detection, resulting in a sparse scene of few slowmoving targets inside enclosed structures and behind walls. Using compressive sensing, a sizable reduction in the number of samples is achieved without degradation in system performance. Laboratory experiments are conducted to validate the proposed approach.
2011
Villanova Faculty Authorship
vudl:173030
Proceedings of the IEEE Radar Conference, Kansas City, MI, May 2011. (submitted).
en

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A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.

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Amin, Moeness.
Ahmad, Fauzia.
Zhang, Wenji.

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In this paper, we apply compressive sensing to moving target indication for urban sensing and through-thewall imaging applications using stepped-frequency radar. In particular, we consider sparsity-driven imaging combined with change detection. Stationary targets and clutter are removed via change detection, resulting in a sparse scene of few slowmoving targets inside enclosed structures and behind walls. Using compressive sensing, a sizable reduction in the number of samples is achieved without degradation in system performance. Laboratory experiments are conducted to validate the proposed approach.

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Ahmad, Fauzia.
Zhang, Wenji.

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Zhang, Wenji.
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Zhang, Wenji.

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A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.

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A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.

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compressive sensing approach to moving target indication for urban sensing.

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A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.

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