TY - GEN
T1 - Compressive sensing for passive ISAR with DVB-T signal
AU - Qiu, W.
AU - Giusti, E.
AU - Bacci, A.
AU - Martorella, M.
AU - Berizzi, F.
AU - Zhao, H. Z.
AU - Fu, Q.
PY - 2013
Y1 - 2013
N2 - As recently demonstrated, ISAR images can be obtained by using DVB-T based Passive radars. Television broadcast sources offer, however, very poor range resolution for imaging purposes, as illuminators of opportunity(IOs) transmits signals with lower bandwidth with respect to those transmitted by a dedicated ISAR system. To reach finer range resolutions, a signal composed of multiple DVB-T channels is required. Problems arise however, when the DVB-T channels are spectrally separated. The gaps between DVB-T channels may degrade the image significantly when Fourier based algorithms are used to form the ISAR image. In this paper, the Compressive Sensing (CS) theory is investigated to address this problem. Specifically, a 2D-SL0 algorithm is used to solve a sparsity-driven optimization problem. Simulation based results are then used to validate the proposed algorithm.
AB - As recently demonstrated, ISAR images can be obtained by using DVB-T based Passive radars. Television broadcast sources offer, however, very poor range resolution for imaging purposes, as illuminators of opportunity(IOs) transmits signals with lower bandwidth with respect to those transmitted by a dedicated ISAR system. To reach finer range resolutions, a signal composed of multiple DVB-T channels is required. Problems arise however, when the DVB-T channels are spectrally separated. The gaps between DVB-T channels may degrade the image significantly when Fourier based algorithms are used to form the ISAR image. In this paper, the Compressive Sensing (CS) theory is investigated to address this problem. Specifically, a 2D-SL0 algorithm is used to solve a sparsity-driven optimization problem. Simulation based results are then used to validate the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84884162299&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84884162299
SN - 9783954042234
T3 - Proceedings International Radar Symposium
SP - 113
EP - 118
BT - International Radar Symposium, IRS 2013 - Proceedings
T2 - 2013 14th International Radar Symposium, IRS 2013
Y2 - 19 June 2013 through 21 June 2013
ER -