Matched-illumination waveform design for a multistatic through-the-wall radar system.

Matched-illumination waveform design for a multistatic through-the-wall radar system.

We present the matched illumination waveform design for improved target detection in through-the-wall radar imaging and sensing applications.We consider a multistatic radar system for detection of stationary targets with known impulse responses behind walls. The stationary and slowly moving nature o...

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Main Authors: Ahmad, Fauzia., Amin, Moeness G.
Format: Villanova Faculty Authorship
Language:English
Published: 2010
Online Access:http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173414
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spelling Matched-illumination waveform design for a multistatic through-the-wall radar system.
Ahmad, Fauzia.
Amin, Moeness G.
We present the matched illumination waveform design for improved target detection in through-the-wall radar imaging and sensing applications.We consider a multistatic radar system for detection of stationary targets with known impulse responses behind walls. The stationary and slowly moving nature of typical indoor targets relaxes the orthogonality requirement on the waveforms, thereby allowing sequential transmissions from each transmitter with simultaneous reception at multiple receivers. The generalization of the matched illumination waveform design concept from a monostatic to a multistatic setting casts the indoor radar sensing problem in terms of multiple-input multiple- output (MIMO) operations and puts in context the offering of MIMO to urban sensing and imaging of targets in enclosed structures. Numerical electromagnetic modeling is used to provide the impulse response of typical behind-the-wall stationary targets, namely tables and humans, for different target orientations and at various incident and reflection angles. Simulation results depict an improvement in the signal-to-clutter-and-noise-ratio (SCNR) at the output of the matched filter receiver for multistatic radar as compared to monostatic operation.
2010
Villanova Faculty Authorship
vudl:173414
IEEE Journal of Selected Topics in Signal Processing 4(1) Feb 2010, 177-186.
en
dc.title_txt_mv Matched-illumination waveform design for a multistatic through-the-wall radar system.
dc.creator_txt_mv Ahmad, Fauzia.
Amin, Moeness G.
dc.description_txt_mv We present the matched illumination waveform design for improved target detection in through-the-wall radar imaging and sensing applications.We consider a multistatic radar system for detection of stationary targets with known impulse responses behind walls. The stationary and slowly moving nature of typical indoor targets relaxes the orthogonality requirement on the waveforms, thereby allowing sequential transmissions from each transmitter with simultaneous reception at multiple receivers. The generalization of the matched illumination waveform design concept from a monostatic to a multistatic setting casts the indoor radar sensing problem in terms of multiple-input multiple- output (MIMO) operations and puts in context the offering of MIMO to urban sensing and imaging of targets in enclosed structures. Numerical electromagnetic modeling is used to provide the impulse response of typical behind-the-wall stationary targets, namely tables and humans, for different target orientations and at various incident and reflection angles. Simulation results depict an improvement in the signal-to-clutter-and-noise-ratio (SCNR) at the output of the matched filter receiver for multistatic radar as compared to monostatic operation.
dc.date_txt_mv 2010
dc.format_txt_mv Villanova Faculty Authorship
dc.identifier_txt_mv vudl:173414
dc.source_txt_mv IEEE Journal of Selected Topics in Signal Processing 4(1) Feb 2010, 177-186.
dc.language_txt_mv en
author Ahmad, Fauzia.
Amin, Moeness G.
spellingShingle Ahmad, Fauzia.
Amin, Moeness G.
Matched-illumination waveform design for a multistatic through-the-wall radar system.
author_facet Ahmad, Fauzia.
Amin, Moeness G.
dc_source_str_mv IEEE Journal of Selected Topics in Signal Processing 4(1) Feb 2010, 177-186.
format Villanova Faculty Authorship
author_sort Ahmad, Fauzia.
dc_date_str 2010
dc_title_str Matched-illumination waveform design for a multistatic through-the-wall radar system.
description We present the matched illumination waveform design for improved target detection in through-the-wall radar imaging and sensing applications.We consider a multistatic radar system for detection of stationary targets with known impulse responses behind walls. The stationary and slowly moving nature of typical indoor targets relaxes the orthogonality requirement on the waveforms, thereby allowing sequential transmissions from each transmitter with simultaneous reception at multiple receivers. The generalization of the matched illumination waveform design concept from a monostatic to a multistatic setting casts the indoor radar sensing problem in terms of multiple-input multiple- output (MIMO) operations and puts in context the offering of MIMO to urban sensing and imaging of targets in enclosed structures. Numerical electromagnetic modeling is used to provide the impulse response of typical behind-the-wall stationary targets, namely tables and humans, for different target orientations and at various incident and reflection angles. Simulation results depict an improvement in the signal-to-clutter-and-noise-ratio (SCNR) at the output of the matched filter receiver for multistatic radar as compared to monostatic operation.
title Matched-illumination waveform design for a multistatic through-the-wall radar system.
title_full Matched-illumination waveform design for a multistatic through-the-wall radar system.
title_fullStr Matched-illumination waveform design for a multistatic through-the-wall radar system.
title_full_unstemmed Matched-illumination waveform design for a multistatic through-the-wall radar system.
title_short Matched-illumination waveform design for a multistatic through-the-wall radar system.
title_sort matched-illumination waveform design for a multistatic through-the-wall radar system.
publishDate 2010
normalized_sort_date 2010-01-01T00:00:00Z
language English
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