Title :
Space–Frequency Ultrawideband Time-Reversal Imaging
Author :
Yavuz, Mehmet E. ; Teixeira, Fernando L.
Author_Institution :
Ohio State Univ., Columbus
fDate :
4/1/2008 12:00:00 AM
Abstract :
We introduce time-reversal ultrawideband (UWB) imaging functionals based on the simultaneous utilization of spatial and UWB frequency data acquired by limited-aspect antenna arrays. The targets are discrete scatterers embedded in homogeneous or continuous random inhomogeneous media. Singular value decomposition is applied to space-frequency multistatic scattering data matrices indexed by sensor location and frequency data, and the resulting singular values and vectors are employed to construct time-domain excitation signals for UWB imaging of the embedded scatterer(s) via synthetic backpropagation (reverse migration). Spatial information needed for focusing on the embedded scatterer(s) is provided by either the left singular vectors or the eigenvectors of the space-space multistatic data matrices. The resulting UWB imaging functionals can yield statistical stability in random media.
Keywords :
antenna arrays; eigenvalues and eigenfunctions; geophysical signal processing; geophysical techniques; image processing; signal classification; ultra wideband antennas; UWB frequency data acquired; continuous random inhomogeneous media; discrete scatterers; eigenvectors; embedded scatterer; limited-aspect antenna arrays; multiple signal classification; reverse migration; sensor location; singular value decomposition; space-frequency multistatic scattering; space-frequency ultrawideband time-reversal imaging; space-space multistatic data matrices; spatial data; spatial information; statistical stability; synthetic backpropagation; time-domain excitation signals; Decomposition of the time reversal (TR) operator (DORT); Multiple Signal Classification (MUSIC); TR; imaging;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2008.915755