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A Multiple Measurement Vector Approach To Synthetic Aperture Radar Imaging by Borcea, Liliana; Kocyigit, Ilker is a scholarly article available to read on EtoBox.

What is A Multiple Measurement Vector Approach To Synthetic Aperture Radar Imaging about?

We study a multiple measurement vector (MMV) approach to synthetic aperture radar (SAR) imaging of scenes with direction dependent reflectivity and with polarization diverse measurements. The data are gathered by a moving transmit- receive platform which probes the imaging scene with signals and records the backscattered waves. The unknown reflectivity is represented by a matrix with row support corresponding to the location of the scatterers in the scene, and columns corresponding to measurements gathered from different sub-apertures, or different polarization of the waves. The MMV methodology is used to estimate the reflectivity matrix by inverting in an appropriate sense the linear system of equations that models the SAR data. We obtain a resolution analysis of SAR imaging with MMV, which takes into account the sparsity of the imaging scene, the separation of the scatterers and the diversity of the measurements. The results of the analysis are illustrated with some numerical simulations.

Author

Borcea, Liliana; Kocyigit, Ilker

Published

2017

Language

EN