Holdings: Multiple-measurement vector model and its application to Through-the-Wall Radar imaging.

Multiple-measurement vector model and its application to Through-the-Wall Radar imaging.

This paper addresses the problem of Through-the-Wall Radar Imaging (TWRI) using the Multiple-Measurement Vector (MMV) compressive sensing model. TWR image formation is reformulated as a compressed sensing (CS) problem, seeking a sparse representation in the spatial domain. In traditional CS-based th...

Bibliographic Details
Main Authors:	Yang, J., Bouzerdoum, A., Tivive, F. H. C., Amin, M. G.
Format:	Villanova Faculty Authorship
Language:	English
Published:	2011
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173480

Main Authors:

Yang, J., Bouzerdoum, A., Tivive, F. H. C., Amin, M. G.

Format:

Villanova Faculty Authorship

Language:

English

Published:

2011

Online Access:

http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173480

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Multiple-measurement vector model and its application to Through-the-Wall Radar imaging.

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Multiple-measurement vector model and its application to Through-the-Wall Radar imaging.

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