Title :
Ultrawideband Time-Reversal Imaging With Frequency Domain Sampling
Author :
Bahrami, S. ; Cheldavi, A. ; Abdolali, Ali
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
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.
Keywords :
S-matrix theory; electromagnetic wave scattering; frequency-domain analysis; image classification; image resolution; image sampling; inhomogeneous media; singular value decomposition; ultra wideband antennas; DORT; MUSIC; MUSIC algorithm; continuous random inhomogeneous media; decomposition of the time-reversal operator; discrete scatterer; frequency domain sampling; frequency sample casting; frequency-frequency monostatic matrix; homogeneous media; image resolution; monostatic antenna; multiple signal classification; multistatic data matrix; scattering data acquisition; ultrawideband time-reversal imaging; Antennas; Bandwidth; Image resolution; Imaging; Noise; Random media; Vectors; Decomposition of the time-reversal operator (DORT); multiple-signal classification (MUSIC); singular-value decomposition (SVD); time-reversal imaging;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2272033