Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6255
Title: ANALYSIS OF COMPRESSIVE SENSING BASED THROUGH THE WALL IMAGING
Authors: Duman, Muhammed
Gürbüz, Ali Cafer
Keywords: Through the wall imaging
compressive sensing
unknown wall parameters
sparsity
Issue Date: 2012
Publisher: IEEE
Source: IEEE Radar Conference (RADAR) -- MAY 07-11, 2012 -- Atlanta, GA
Series/Report no.: IEEE Radar Conference
Abstract: Compressive sensing (CS) has been shown to be a useful tool for subsurface or through the wall imaging (TWI) using ground penetrating radar (GPR). It has been used to decrease both time/frequency or spatial measurements or to generate high resolution images. Although current works apply CS to TWI, they lack analysis for CS about the required number of measurements for sparsity levels, imaging performance in varying noise levels or performance of different measurement strategies. In addition proposed CS based imaging methods are based on two basic assumptions; targets are point like positioned at only discrete spatial or grid locations and wall thickness and its dielectric constant are perfectly known. However these assumptions are not usually valid in most TWI applications. This work details the theory for CS based TWI, analyzes the performance of the proposed imaging for the above mentioned cases. The effect of errors in unknown parameters on the imaging performance is analyzed and possible solutions are discussed.
URI: https://hdl.handle.net/20.500.11851/6255
ISBN: 978-1-4673-0658-4
ISSN: 1097-5764
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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