NDLI: Inverse Scattering by Compressive Sensing and Signal Subspace Methods

Content Provider	IEEE Xplore Digital Library
Author	Marengo, E.A.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA (Marengo, E.A.)
Abstract	This work, composed of the present conference paper plus the associated talk at the conference, explores new paradigms for both active and passive target localization, imaging and inverse scattering that are based on both signal subspace and compressive sensing methods (being of particular interest the basis pursuit problem). The signal subspace component provides signal-subspace-based imaging methods applicable to spatially extended targets. The compressive sensing approach is developed as a recent alternative to the solution of a broad class of target parameter estimation problems. Our research program emphasizes certain inverse source and scattering problems, for which one has a priori knowledge on sparsity of the sources, scatterers and their fields, in physically- derived representational dictionaries for those signals. The derived theory and algorithms are illustrated with computer simulations (the full account of which is left for the talk).
Starting Page	109
Ending Page	112
File Size	1150339
Page Count	4
File Format	PDF
ISBN	9781424417131
DOI	10.1109/CAMSAP.2007.4497977
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	localization Parameter estimation Dictionaries Computer simulation compressive imaging Scattering Multiple signal classification Green function Waves imaging Sensor arrays Compressive sensing Inverse problems multiple signal classification signal subspace Frequency time reversal
Content Type	Text
Resource Type	Article

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