TY - GEN
T1 - A modified CoSaMP algorithm for electromagnetic imaging of two dimensional domains
AU - Sandhu, Ali Imran
AU - Bagci, Hakan
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2017/5/13
Y1 - 2017/5/13
N2 - The compressive sampling matching pursuit (CoSaMP) algorithm is used for solving the electromagnetic inverse scattering problem on two-dimensional sparse domains. Since the scattering matrix, which is computed by sampling the Green function, does not satisfy the restricted isometry property, a damping parameter is added to the diagonal entries of the matrix to make the CoSaMP work. The damping factor can be selected based on the level of noise in the measurements. Numerical experiments, which demonstrate the accuracy and applicability of the proposed algorithm, are presented.
AB - The compressive sampling matching pursuit (CoSaMP) algorithm is used for solving the electromagnetic inverse scattering problem on two-dimensional sparse domains. Since the scattering matrix, which is computed by sampling the Green function, does not satisfy the restricted isometry property, a damping parameter is added to the diagonal entries of the matrix to make the CoSaMP work. The damping factor can be selected based on the level of noise in the measurements. Numerical experiments, which demonstrate the accuracy and applicability of the proposed algorithm, are presented.
UR - http://hdl.handle.net/10754/624993
UR - http://ieeexplore.ieee.org/document/7916412/
UR - http://www.scopus.com/inward/record.url?scp=85020035233&partnerID=8YFLogxK
U2 - 10.23919/ROPACES.2017.7916412
DO - 10.23919/ROPACES.2017.7916412
M3 - Conference contribution
SN - 9780996007832
BT - 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -