Ultrawideband Time-Reversal Imaging With Frequency Domain Sampling.

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Název: Ultrawideband Time-Reversal Imaging With Frequency Domain Sampling.
Autoři: Bahrami, Siroos, Cheldavi, Ahmad, Abdolali, Ali
Zdroj: IEEE Geoscience & Remote Sensing Letters; Mar2014, Vol. 11 Issue 3, p597-601, 5p
Abstrakt: A new ultrawideband (UWB) time-reversal imaging method based on the unconventional utilization of UWB frequency data is introduced. First, a set of monostatic antennas is used to acquire the scattering data for a given scenario. Then, a corresponding multistatic data matrix is formed by casting the fine and coarse frequency samples of the scattering information into matrix form. The resulting frequency–frequency monostatic matrix is later fed into the adapted DORT (French acronym for decomposition of the time-reversal operator) and MUSIC (Multiple-Signal Classification) algorithms. The performance of the proposed method is investigated numerically by applying it to discrete scatterers embedded in homogeneous and continuously random inhomogeneous media. The effect of frequency bandwidth on image resolution is studied. It is observed that wider frequency bandwidths yield to better focusing resolutions. [ABSTRACT FROM PUBLISHER]
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  Data: Ultrawideband Time-Reversal Imaging With Frequency Domain Sampling.
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  Data: <searchLink fieldCode="AR" term="%22Bahrami%2C+Siroos%22">Bahrami, Siroos</searchLink><br /><searchLink fieldCode="AR" term="%22Cheldavi%2C+Ahmad%22">Cheldavi, Ahmad</searchLink><br /><searchLink fieldCode="AR" term="%22Abdolali%2C+Ali%22">Abdolali, Ali</searchLink>
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  Data: IEEE Geoscience & Remote Sensing Letters; Mar2014, Vol. 11 Issue 3, p597-601, 5p
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A new ultrawideband (UWB) time-reversal imaging method based on the unconventional utilization of UWB frequency data is introduced. First, a set of monostatic antennas is used to acquire the scattering data for a given scenario. Then, a corresponding multistatic data matrix is formed by casting the fine and coarse frequency samples of the scattering information into matrix form. The resulting frequency–frequency monostatic matrix is later fed into the adapted DORT (French acronym for decomposition of the time-reversal operator) and MUSIC (Multiple-Signal Classification) algorithms. The performance of the proposed method is investigated numerically by applying it to discrete scatterers embedded in homogeneous and continuously random inhomogeneous media. The effect of frequency bandwidth on image resolution is studied. It is observed that wider frequency bandwidths yield to better focusing resolutions. [ABSTRACT FROM PUBLISHER]
– 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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