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Telecommunications and Radio Engineering
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN Druckformat: 0040-2508
ISSN Online: 1943-6009

Volumes:
Volumen 79, 2020 Volumen 78, 2019 Volumen 77, 2018 Volumen 76, 2017 Volumen 75, 2016 Volumen 74, 2015 Volumen 73, 2014 Volumen 72, 2013 Volumen 71, 2012 Volumen 70, 2011 Volumen 69, 2010 Volumen 68, 2009 Volumen 67, 2008 Volumen 66, 2007 Volumen 65, 2006 Volumen 64, 2005 Volumen 63, 2005 Volumen 62, 2004 Volumen 61, 2004 Volumen 60, 2003 Volumen 59, 2003 Volumen 58, 2002 Volumen 57, 2002 Volumen 56, 2001 Volumen 55, 2001 Volumen 54, 2000 Volumen 53, 1999 Volumen 52, 1998 Volumen 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v74.i20.30
pages 1793-1801

MICROWAVE IMAGING OF EMBEDDED OBJECT USING AN ENHANCED IMAGE RECONSTRUCTION ALGORITHM

Sidi Mohammed Chouiti
Laboratory of Telecommunications of Tlemcen (LTT), University of Tlemcen, P.O. 23,0 Chetouane, 13000, Tlemcen, Algeria
Lotfi Merad
Laboratory of Telecommunications of Tlemcen (LTT), University of Tlemcen, P.O. 23,0 Chetouane, 13000, Tlemcen, Algeria
Sidi Mohammed Meriah
Laboratory of Telecommunications of Tlemcen (LTT), University of Tlemcen, P.O. 23,0 Chetouane, 13000, Tlemcen, Algeria
Xavier Raimundo
Centre for Communications Systems, School of Engineering and Computing Sciences, Durham University, Stockton Road, DH1 3LE, Durham, UK

ABSTRAKT

There are various types of methods and techniques that have been utilized for the detection and reconstruction of embedded objects. Here, we present a new imaging method to detect metal bars into a concrete pillar through the application of microwave imaging UWB radar, using delay and sum integration algorithm. Successful detection and localization of one, two and four bars small as 4 mm in diameter are also demonstrated. The introduction a new algorithm which consists to post-process the resulting images obtained is also explored. This post-process allows us to obtain a much clear image with less interference.


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