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Abstract
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. © 2010 John Wiley & Sons, Ltd.
Original language | English |
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Pages (from-to) | 55-68 |
Number of pages | 14 |
Journal | Numerical Linear Algebra with Applications |
Volume | 18 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2011 |
Keywords
- linear sampling method
- regularization heuristics
- numerical algorithms.
- inverse scattering
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