A modified CoSaMP algorithm for electromagnetic imaging of two dimensional domains
Type
Conference PaperAuthors
Sandhu, Ali ImranBagci, Hakan

KAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2017-05-13Online Publication Date
2017-05-13Print Publication Date
2017-03Permanent link to this record
http://hdl.handle.net/10754/624993
Metadata
Show full item recordAbstract
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.Citation
Sandhu AI, Bagci H (2017) A modified CoSaMP algorithm for electromagnetic imaging of two dimensional domains. 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES). Available: http://dx.doi.org/10.23919/ROPACES.2017.7916412.Additional Links
http://ieeexplore.ieee.org/document/7916412/ae974a485f413a2113503eed53cd6c53
10.23919/ROPACES.2017.7916412