Digitized Metamaterial Absorber-Based Compressive Reflector Antenna for High Sensing Capacity Imaging

Conventional multistatic radar systems using microwave and millimeter-wave (mm-wave) frequencies seek to reconstruct the target in the imaging domain, employing many transmitting and receiving antenna elements. These systems are suboptimal, in that they do not take into consideration the large mutua...
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Autor*in:	Ali Molaei [verfasserIn] Juan Heredia-Juesas [verfasserIn] Galia Ghazi [verfasserIn] James Vlahakis [verfasserIn] Jose Angel Martinez-Lorenzo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Compressive reflector antenna millimeter-wave imaging metamaterial absorber coded aperture

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 1160-1173
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:1160-1173

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2018.2881103

Katalog-ID:	DOAJ052529533

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callnumber-first	T - Technology
author	Ali Molaei
spellingShingle	Ali Molaei misc TK1-9971 misc Compressive reflector antenna misc millimeter-wave imaging misc metamaterial absorber misc coded aperture misc Electrical engineering. Electronics. Nuclear engineering Digitized Metamaterial Absorber-Based Compressive Reflector Antenna for High Sensing Capacity Imaging
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topic_title	TK1-9971 Digitized Metamaterial Absorber-Based Compressive Reflector Antenna for High Sensing Capacity Imaging Compressive reflector antenna millimeter-wave imaging metamaterial absorber coded aperture
topic	misc TK1-9971 misc Compressive reflector antenna misc millimeter-wave imaging misc metamaterial absorber misc coded aperture misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Compressive reflector antenna misc millimeter-wave imaging misc metamaterial absorber misc coded aperture misc Electrical engineering. Electronics. Nuclear engineering
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title	Digitized Metamaterial Absorber-Based Compressive Reflector Antenna for High Sensing Capacity Imaging
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title_full	Digitized Metamaterial Absorber-Based Compressive Reflector Antenna for High Sensing Capacity Imaging
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title_auth	Digitized Metamaterial Absorber-Based Compressive Reflector Antenna for High Sensing Capacity Imaging
abstract	Conventional multistatic radar systems using microwave and millimeter-wave (mm-wave) frequencies seek to reconstruct the target in the imaging domain, employing many transmitting and receiving antenna elements. These systems are suboptimal, in that they do not take into consideration the large mutual information existing between the measurements. This paper reports a new mm-wave radar system for high sensing capacity applications. The system is composed of a compressive reflector antenna (CRA), whose surface is specially tailored by digitized metamaterial absorbers (MMAs). The MMA elements are designed to have a highly frequency-dispersive response in the operating band of the radar. This enables the CRA to create highly uncorrelated spatial and spectral codes in the imaging region. A semi-analytic method based on Drude–Lorentz model is used to approximate the reflection response of the MMAs. The performance of the developed radar system is evaluated in active mm-wave sensing systems by imaging PEC scatterers and an extended human-size model in the near-field of the radar. A computational method based on physical optics is established for solving the numerical examples. For reconstructing the image using compressive sensing techniques, a norm-1 regularized iterative algorithm based on the alternating direction method of multipliers and a Nesterov-based algorithm were applied.
abstractGer	Conventional multistatic radar systems using microwave and millimeter-wave (mm-wave) frequencies seek to reconstruct the target in the imaging domain, employing many transmitting and receiving antenna elements. These systems are suboptimal, in that they do not take into consideration the large mutual information existing between the measurements. This paper reports a new mm-wave radar system for high sensing capacity applications. The system is composed of a compressive reflector antenna (CRA), whose surface is specially tailored by digitized metamaterial absorbers (MMAs). The MMA elements are designed to have a highly frequency-dispersive response in the operating band of the radar. This enables the CRA to create highly uncorrelated spatial and spectral codes in the imaging region. A semi-analytic method based on Drude–Lorentz model is used to approximate the reflection response of the MMAs. The performance of the developed radar system is evaluated in active mm-wave sensing systems by imaging PEC scatterers and an extended human-size model in the near-field of the radar. A computational method based on physical optics is established for solving the numerical examples. For reconstructing the image using compressive sensing techniques, a norm-1 regularized iterative algorithm based on the alternating direction method of multipliers and a Nesterov-based algorithm were applied.
abstract_unstemmed	Conventional multistatic radar systems using microwave and millimeter-wave (mm-wave) frequencies seek to reconstruct the target in the imaging domain, employing many transmitting and receiving antenna elements. These systems are suboptimal, in that they do not take into consideration the large mutual information existing between the measurements. This paper reports a new mm-wave radar system for high sensing capacity applications. The system is composed of a compressive reflector antenna (CRA), whose surface is specially tailored by digitized metamaterial absorbers (MMAs). The MMA elements are designed to have a highly frequency-dispersive response in the operating band of the radar. This enables the CRA to create highly uncorrelated spatial and spectral codes in the imaging region. A semi-analytic method based on Drude–Lorentz model is used to approximate the reflection response of the MMAs. The performance of the developed radar system is evaluated in active mm-wave sensing systems by imaging PEC scatterers and an extended human-size model in the near-field of the radar. A computational method based on physical optics is established for solving the numerical examples. For reconstructing the image using compressive sensing techniques, a norm-1 regularized iterative algorithm based on the alternating direction method of multipliers and a Nesterov-based algorithm were applied.
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title_short	Digitized Metamaterial Absorber-Based Compressive Reflector Antenna for High Sensing Capacity Imaging
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Digitized Metamaterial Absorber-Based Compressive Reflector Antenna for High Sensing Capacity Imaging

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