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Fast regularized linear sampling for inverse scattering problems
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DOI：10.1002/nla.698.png)
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Abstract
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A new numerical procedure is proposed for the reconstruction of the shape and volume of unknown objects from measurements of their radiation in the far field. This procedure is a variant and the linear sampling method has a very acceptable computational load and is fully automated. It is based on exploiting an iteratively computed truncated singular-value decomposition and heuristics to extract the desired signal from the background noise. Its performance on a battery of examples of different types is shown to be promising. Copyright (C) 2010 John Wiley & Sons, Ltd.
Keywords:
inverse scattering
linear sampling method
regularization heuristics
numerical algorithms
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