Inverse scattering by compressive sensing and signal subspace methods

2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP

Volumn , Issue , 2007, Pages 109-112

  Marengo, Edwin A ^a  

^a Northeastern University   (United States)

Author keywords

Compressive imaging; Compressive sensing; Imaging; Localization; Multiple signal classification; Signal subspace; Time reversal

Indexed keywords

A-PRIORI; ADAPTIVE PROCESSING; BASIS PURSUITS; COMPRESSIVE IMAGING; COMPRESSIVE SENSING; COMPUTER SIMULATIONS; ESTIMATION PROBLEMS; EXTENDED TARGETS; IMAGING; IMAGING METHODS; INVERSE SOURCE; INVERSE-SCATTERING; LOCALIZATION; MULTI SENSORS; MULTIPLE SIGNAL CLASSIFICATION; PASSIVE TARGET LOCALIZATION; RESEARCH PROGRAMS; SCATTERING PROBLEMS; SIGNAL SUBSPACE; TIME REVERSAL;

COMPUTER SIMULATION; INVERSE PROBLEMS; PARAMETER ESTIMATION; SCATTERING; SENSORS; SIGNAL ANALYSIS; SIGNAL RECONSTRUCTION; TARGETS;

COMPUTATIONAL METHODS;

EID: 50249149540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CAMSAP.2007.4497977     Document Type: Conference Paper

References (8)

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3. S. Ji, Y. Xue, and L. Carin, Bayesian compressive sensing, preprint, 2007.
4. E. Candès, J. Romberg, and T. Tao, Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, IEEE Trans. Inform. Theory 52, 489-509 (2006).
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7. G. Shi and A. Nehorai, Maximum likelihood estimation of point scatterers for computational time-reversal imaging, Communications in Information and Systems 5, 227-256 (2005).
8. E. A. Marengo and F. K. Gruber, Subspace-based localization and inverse scattering of multiply scattering point targets, EURASIP Journal on Advances in Signal Processing Volume 2007, Article ID 17342, 16 pages (2007).