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Transmission mode time-reversal super-resolution imaging.

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Titel: Transmission mode time-reversal super-resolution imaging.
Autoren: Lehman, Sean K., Devaney, Anthony J.
Quelle: Journal of the Acoustical Society of America; May2003, Vol. 113 Issue 5, p2742-2753, 12p, 3 Charts, 14 Graphs
Schlagwörter: TRANSMISSION of sound, ARCHITECTURAL acoustics, SOUND waves, MUSIC, ACOUSTICAL engineering
Abstract: The theory of time-reversal super-resolution imaging of point targets embedded in a reciprocal background medium [A. J. Devaney, ''Super-resolution imaging using time-reversal and MUSIC,'' J. Acoust. Soc. Am. (to be published)] is generalized to the case where the transmitter and receiver sensor arrays need not be coincident and for cases where the background medium can be nonreciprocal. The new theory developed herein is based on the singular value decomposition of the generalized multistatic data matrix of the sensor system rather than the standard eigenvector/eigenvalue decomposition of the time-reversal matrix as was employed in the above-mentioned work and other treatments of time-reversal imaging [Prada, Thomas, and Fink, ''The iterative time reversal process: Analysis of the convergence,'' J. Acoust. Soc. Am. 97, 62 ~1995!; Prada et al., ''Decomposition of the time reversal operator: Detection and selective focusing on two scatterers,'' J. Acoust. Soc. Am. 99, 2067 (1996)]. A generalized multiple signal classification (MUSIC) algorithm is derived that allows super-resolution imaging of both well-resolved and non-well-resolved point targets from arbitrary sensor array geometries. MUSIC exploits the orthogonal nature of the scatterer and noise subspaces defined by the singular vectors of the multistatic data matrix to form scatterer images. The time-reversal/MUSIC algorithm is tested and validated in two computer simulations of offset vertical seismic profiling where the sensor sources are aligned along the earth's surface and the receiver array is aligned along a subsurface borehole. All results demonstrate the high contrast, high resolution imaging capabilities of this new algorithm combination when compared with ''classical'' backpropagation or field focusing. Above and beyond the application of seismo-acoustic imaging, the time-reversal super-resolution theory has applications in ocean acoustics for target location, and ultrasonic nondestructive evaluation of parts. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics 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: Transmission mode time-reversal super-resolution imaging.
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  Data: Journal of the Acoustical Society of America; May2003, Vol. 113 Issue 5, p2742-2753, 12p, 3 Charts, 14 Graphs
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  Data: <searchLink fieldCode="DE" term="%22TRANSMISSION+of+sound%22">TRANSMISSION of sound</searchLink><br /><searchLink fieldCode="DE" term="%22ARCHITECTURAL+acoustics%22">ARCHITECTURAL acoustics</searchLink><br /><searchLink fieldCode="DE" term="%22SOUND+waves%22">SOUND waves</searchLink><br /><searchLink fieldCode="DE" term="%22MUSIC%22">MUSIC</searchLink><br /><searchLink fieldCode="DE" term="%22ACOUSTICAL+engineering%22">ACOUSTICAL engineering</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The theory of time-reversal super-resolution imaging of point targets embedded in a reciprocal background medium [A. J. Devaney, ''Super-resolution imaging using time-reversal and MUSIC,'' J. Acoust. Soc. Am. (to be published)] is generalized to the case where the transmitter and receiver sensor arrays need not be coincident and for cases where the background medium can be nonreciprocal. The new theory developed herein is based on the singular value decomposition of the generalized multistatic data matrix of the sensor system rather than the standard eigenvector/eigenvalue decomposition of the time-reversal matrix as was employed in the above-mentioned work and other treatments of time-reversal imaging [Prada, Thomas, and Fink, ''The iterative time reversal process: Analysis of the convergence,'' J. Acoust. Soc. Am. 97, 62 ~1995!; Prada et al., ''Decomposition of the time reversal operator: Detection and selective focusing on two scatterers,'' J. Acoust. Soc. Am. 99, 2067 (1996)]. A generalized multiple signal classification (MUSIC) algorithm is derived that allows super-resolution imaging of both well-resolved and non-well-resolved point targets from arbitrary sensor array geometries. MUSIC exploits the orthogonal nature of the scatterer and noise subspaces defined by the singular vectors of the multistatic data matrix to form scatterer images. The time-reversal/MUSIC algorithm is tested and validated in two computer simulations of offset vertical seismic profiling where the sensor sources are aligned along the earth's surface and the receiver array is aligned along a subsurface borehole. All results demonstrate the high contrast, high resolution imaging capabilities of this new algorithm combination when compared with ''classical'' backpropagation or field focusing. Above and beyond the application of seismo-acoustic imaging, the time-reversal super-resolution theory has applications in ocean acoustics for target location, and ultrasonic nondestructive evaluation of parts. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics 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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      – Type: doi
        Value: 10.1121/1.1566975
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 12
        StartPage: 2742
    Subjects:
      – SubjectFull: TRANSMISSION of sound
        Type: general
      – SubjectFull: ARCHITECTURAL acoustics
        Type: general
      – SubjectFull: SOUND waves
        Type: general
      – SubjectFull: MUSIC
        Type: general
      – SubjectFull: ACOUSTICAL engineering
        Type: general
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      – TitleFull: Transmission mode time-reversal super-resolution imaging.
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          Name:
            NameFull: Lehman, Sean K.
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          Name:
            NameFull: Devaney, Anthony J.
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          Dates:
            – D: 01
              M: 05
              Text: May2003
              Type: published
              Y: 2003
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              Value: 113
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            – TitleFull: Journal of the Acoustical Society of America
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