A Novel Microwave Imaging Approach Based on Regularization in L-p Banach Spaces

作者：Estatico C^*; Pastorino M; Randazzo A

来源：IEEE Transactions on Antennas and Propagation, 2012, 60(7): 3373-3381.

DOI：10.1109/TAP.2012.2196925

• Inverse problems
• iterative algorithms
• microwave imaging
• Newton method

Inverse problems arising in microwave imaging suffer from high ill-posedness. As it is well known, it is necessary to employ regularized inversionmethods, in order to mitigate such behavior. Usually, such approaches are formulated in standard Hilbert spaces. Recently, a more generic regularization theory, working in Banach spaces, has been investigated, in order to overcome some limitations of the Hilbert-space regularization. In this paper, a novel imaging algorithm, performing a L-p Banach-space regularization, is proposed for 2-D electromagnetic inverse scattering problems. The reconstruction capabilities of the methods are evaluated by using numerical and experimental data.

• 出版日期2012-7