A modified CoSaMP algorithm for electromagnetic imaging of two dimensional domains

Sandhu, Ali Imran; Bagci, Hakan

Type

Conference Paper

Authors

Sandhu, Ali Imran
Bagci, Hakan

KAUST Department

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Division of Computer, Electrical, and Mathematical, Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia

Date

2017-05-13

Permanent link to this record

http://hdl.handle.net/10754/624993

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Abstract

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.