DocumentCode
77194
Title
Hard Wall Imaging of Objects Hidden by Non-Penetrating Obstacles Using Modified Time Reversal Technique
Author
Ishimaru, A. ; Ce Zhang ; Kuga, Yasuo
Author_Institution
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
Volume
62
Issue
7
fYear
2014
fDate
Jul-14
Firstpage
3645
Lastpage
3651
Abstract
One of the important current problems is imaging and detection of objects hidden by obscuring obstacles. There have been extensive works reported on “Through-Wall Imaging” in recent years. This paper extends the previous works to the case where the wall is non-penetrating and the diffraction around the edge becomes important. This hard-wall imaging is related to the historical problem of “Poisson Spot” and “Anti-Podal point.” This paper makes use of the modified time-reversal technique and GTD, and shows the formulations of the multistatic data matrix, eigenvectors and steering vectors to form the imaging function. Signal processing includes the multiplicative modified time reversal technique to eliminate the unwanted extraneous images. Numerical examples include comparisons between the modified and the conventional time-reversal imaging to show the effectiveness of the hard-wall imaging method.
Keywords
eigenvalues and eigenfunctions; geometrical theory of diffraction; matrix algebra; microwave imaging; object detection; GTD; Poisson spot; anti-podal point; eigenvectors; hard-wall imaging method; imaging function; modified time reversal technique; multiplicative modified time reversal technique; multistatic data matrix; nonpenetrating obstacles; object detection; object imaging; signal processing; steering vectors; through-wall imaging; time-reversal imaging; unwanted extraneous images; Antenna arrays; Arrays; Green´s function methods; Imaging; Signal processing; Vectors; Decomposition of time reversal operator; geometric theory of diffraction (GTD); hard-wall imaging; microwave imaging; time reversal;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2014.2317479
Filename
6797916
Link To Document