TY - GEN
T1 - Compressive sensing technique for through-wall-radar imaging
AU - Zhao, Weiwei
AU - Zhou, Ruixue
AU - Liu, Feifeng
AU - Hu, Cheng
PY - 2013
Y1 - 2013
N2 - Through-wall-radar imaging (TWRI) has an ability to see the target behind the wall, which is desirable for antiterrorism, rescue and law enforcement. In order to obtain high resolution images, ultra wide band signal and large synthetic aperture should be used, which inevitably increases measuring time. The emerging compressive sensing (CS) technique can recover a sparse signal from incomplete measurements. Due to sparse scene approximation, TWRI is converted into an optimization problem based on CS framework in this paper, which can dramatically reduce measuring time. Furthermore, simulation results are given to demonstrate the potentiality of CS technique for TWRI.
AB - Through-wall-radar imaging (TWRI) has an ability to see the target behind the wall, which is desirable for antiterrorism, rescue and law enforcement. In order to obtain high resolution images, ultra wide band signal and large synthetic aperture should be used, which inevitably increases measuring time. The emerging compressive sensing (CS) technique can recover a sparse signal from incomplete measurements. Due to sparse scene approximation, TWRI is converted into an optimization problem based on CS framework in this paper, which can dramatically reduce measuring time. Furthermore, simulation results are given to demonstrate the potentiality of CS technique for TWRI.
KW - Compressive sensing (CS)
KW - Orthogonal marching pursuit (OMP)
KW - Through-wall-radar imaging
UR - http://www.scopus.com/inward/record.url?scp=84894573948&partnerID=8YFLogxK
U2 - 10.1049/cp.2013.0355
DO - 10.1049/cp.2013.0355
M3 - Conference contribution
AN - SCOPUS:84894573948
SN - 9781849196031
T3 - IET Conference Publications
BT - IET International Radar Conference 2013
T2 - IET International Radar Conference 2013
Y2 - 14 April 2013 through 16 April 2013
ER -