DocumentCode :
1759374
Title :
Time-Reversal Imaging Using One Transmitting Antenna Based on Independent Component Analysis
Author :
Razavian, Mojtaba ; Hosseini, Mohammad Hossein ; Safian, Reza
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
Volume :
11
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
1574
Lastpage :
1578
Abstract :
Time-reversal (TR) techniques have shown promising results for detection and localization of scatterers in multiple scattering environments. These techniques exploit the TR invariance of the wave equation. Most of TR applications require the analysis of the TR operator obtained from the MDM of a TR array. Eigenvalue decomposition of the TR operator forms the basis of techniques such as decomposition of the TR operator and TR multiple signal classification. In this letter, we have introduced a new approach that is based on the independent component analysis (ICA). The ICA takes advantage of the statistical independence of scattered signals from well-resolved scatterers and breaks the mixed received signal by each receiving antenna to independent components based on maximizing the non-Gaussianity of mixed signal components. Some preprocessing steps such as centering and whitening are also required. One advantage of the TR imaging based on ICA is that imaging and focusing can be achieved using only one transmitting antenna, which lowers the complexity of the implementation compared with other techniques.
Keywords :
antennas; image processing; independent component analysis; independent component analysis; scattered signals; statistical independence; time-reversal imaging; transmitting antenna; Covariance matrices; Focusing; Receiving antennas; Signal processing algorithms; Transmitting antennas; Vectors; Decomposition of the time-reversal operator (DORT); independent component analysis (ICA); multiple signal classification (MUSIC); time-reversal (TR) imaging;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2014.2301724
Filename :
6734671
Link To Document :
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