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High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion

Resolution is the bottleneck for the application of radar imaging, which is limited by the bandwidth for the range dimension and synthetic aperture for the cross-range dimension. The demand for high azimuth resolution inevitably results in a large amount of cross-range samplings, which always need a...

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Autores principales: Lu, Xinfei, Xia, Jie, Yin, Zhiping, Chen, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375828/
https://www.ncbi.nlm.nih.gov/pubmed/28282904
http://dx.doi.org/10.3390/s17030542
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author Lu, Xinfei
Xia, Jie
Yin, Zhiping
Chen, Weidong
author_facet Lu, Xinfei
Xia, Jie
Yin, Zhiping
Chen, Weidong
author_sort Lu, Xinfei
collection PubMed
description Resolution is the bottleneck for the application of radar imaging, which is limited by the bandwidth for the range dimension and synthetic aperture for the cross-range dimension. The demand for high azimuth resolution inevitably results in a large amount of cross-range samplings, which always need a large number of transmit-receive channels or a long observation time. Compressive sensing (CS)-based methods could be used to reduce the samples, but suffer from the difficulty of designing the measurement matrix, and they are not robust enough in practical application. In this paper, based on the two-dimensional (2D) convolution model of the echo after matched filter (MF), we propose a novel 2D deconvolution algorithm for turntable radar to improve the radar imaging resolution. Additionally, in order to reduce the cross-range samples, we introduce a new matrix completion (MC) algorithm based on the hyperbolic tangent constraint to improve the performance of MC with undersampled data. Besides, we present a new way of echo matrix reconstruction for the situation that only partial cross-range data are observed and some columns of the echo matrix are missing. The new matrix has a better low rank property and needs just one operation of MC for all of the missing elements compared to the existing ways. Numerical simulations and experiments are carried out to demonstrate the effectiveness of the proposed method.
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spelling pubmed-53758282017-04-10 High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion Lu, Xinfei Xia, Jie Yin, Zhiping Chen, Weidong Sensors (Basel) Article Resolution is the bottleneck for the application of radar imaging, which is limited by the bandwidth for the range dimension and synthetic aperture for the cross-range dimension. The demand for high azimuth resolution inevitably results in a large amount of cross-range samplings, which always need a large number of transmit-receive channels or a long observation time. Compressive sensing (CS)-based methods could be used to reduce the samples, but suffer from the difficulty of designing the measurement matrix, and they are not robust enough in practical application. In this paper, based on the two-dimensional (2D) convolution model of the echo after matched filter (MF), we propose a novel 2D deconvolution algorithm for turntable radar to improve the radar imaging resolution. Additionally, in order to reduce the cross-range samples, we introduce a new matrix completion (MC) algorithm based on the hyperbolic tangent constraint to improve the performance of MC with undersampled data. Besides, we present a new way of echo matrix reconstruction for the situation that only partial cross-range data are observed and some columns of the echo matrix are missing. The new matrix has a better low rank property and needs just one operation of MC for all of the missing elements compared to the existing ways. Numerical simulations and experiments are carried out to demonstrate the effectiveness of the proposed method. MDPI 2017-03-08 /pmc/articles/PMC5375828/ /pubmed/28282904 http://dx.doi.org/10.3390/s17030542 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lu, Xinfei
Xia, Jie
Yin, Zhiping
Chen, Weidong
High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion
title High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion
title_full High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion
title_fullStr High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion
title_full_unstemmed High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion
title_short High Resolution Turntable Radar Imaging via Two Dimensional Deconvolution with Matrix Completion
title_sort high resolution turntable radar imaging via two dimensional deconvolution with matrix completion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375828/
https://www.ncbi.nlm.nih.gov/pubmed/28282904
http://dx.doi.org/10.3390/s17030542
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