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Multitarget Time-Reversal Radar Imaging Method Based on High-Resolution Hyperbolic Radon Transform.

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Názov: Multitarget Time-Reversal Radar Imaging Method Based on High-Resolution Hyperbolic Radon Transform.
Autori: Li, Minchao, Xi, Xiaoli, Song, Zhongguo, Liu, Gaohui
Zdroj: IEEE Geoscience & Remote Sensing Letters; 2022, p1-5, 5p
Abstrakt: Because existing time-reversal (TR) algorithms are mostly suitable for energy focusing of a single target, it is difficult to accurately locate scenes containing multiple targets. In this study, based on the temporal and spatial morphological characteristics of various echo signals in the B-scan of a single-transmission multireceiver antenna system, high-resolution hyperbolic Radon transform (HRT) is applied to integrate different target echo signals to represent them sparsely. The different target signals in the high-resolution Radon domain are separately and independently reconstructed. Using this, a space–time multistatic data matrix (MDM) is constructed for TR imaging, so that the TR imaging method realizes high-precision positioning of multiple targets under a single-transmission multireceiver antenna system. Numerical simulation results and an experiment using real radar data verified the effectiveness of the proposed method in realizing accurate multitarget TR imaging. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Geoscience & Remote Sensing Letters is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Multitarget Time-Reversal Radar Imaging Method Based on High-Resolution Hyperbolic Radon Transform.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Minchao%22">Li, Minchao</searchLink><br /><searchLink fieldCode="AR" term="%22Xi%2C+Xiaoli%22">Xi, Xiaoli</searchLink><br /><searchLink fieldCode="AR" term="%22Song%2C+Zhongguo%22">Song, Zhongguo</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Gaohui%22">Liu, Gaohui</searchLink>
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  Data: IEEE Geoscience & Remote Sensing Letters; 2022, p1-5, 5p
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Because existing time-reversal (TR) algorithms are mostly suitable for energy focusing of a single target, it is difficult to accurately locate scenes containing multiple targets. In this study, based on the temporal and spatial morphological characteristics of various echo signals in the B-scan of a single-transmission multireceiver antenna system, high-resolution hyperbolic Radon transform (HRT) is applied to integrate different target echo signals to represent them sparsely. The different target signals in the high-resolution Radon domain are separately and independently reconstructed. Using this, a space–time multistatic data matrix (MDM) is constructed for TR imaging, so that the TR imaging method realizes high-precision positioning of multiple targets under a single-transmission multireceiver antenna system. Numerical simulation results and an experiment using real radar data verified the effectiveness of the proposed method in realizing accurate multitarget TR imaging. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Geoscience & Remote Sensing Letters is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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