TY - GEN
T1 - Simulation of ISAR imaging for a space target and reconstruction under sparse sampling via compressed sensing
AU - Wang, Feng
AU - Eibert, Thomas F.
AU - Jin, Ya Qiu
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/17
Y1 - 2014/10/17
N2 - Simulation of Inverse synthetic aperture radar (ISAR) imaging of space targets and reconstruction under sparse sampling via compressed sensing (CS) are investigated. The numerical method of bidirectional analytic ray tracing (BART) is employed to compute the polarized scattering from an electrically large target. With multi-orbit and multistation imaging mode, two-D and three-D (dimensional) ISAR images are acquired. CS is introduced into the reconstruction of the ISAR image under sparse sampling. As example, a simple satellite model for the Aura satellite is presented.
AB - Simulation of Inverse synthetic aperture radar (ISAR) imaging of space targets and reconstruction under sparse sampling via compressed sensing (CS) are investigated. The numerical method of bidirectional analytic ray tracing (BART) is employed to compute the polarized scattering from an electrically large target. With multi-orbit and multistation imaging mode, two-D and three-D (dimensional) ISAR images are acquired. CS is introduced into the reconstruction of the ISAR image under sparse sampling. As example, a simple satellite model for the Aura satellite is presented.
UR - http://www.scopus.com/inward/record.url?scp=84919754840&partnerID=8YFLogxK
U2 - 10.1109/URSIGASS.2014.6929115
DO - 10.1109/URSIGASS.2014.6929115
M3 - Conference contribution
AN - SCOPUS:84919754840
T3 - 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
BT - 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 31st General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2014
Y2 - 16 August 2014 through 23 August 2014
ER -