Integrating the discrete dipole approximation forward solver with a microwave tomography algorithm
Paper in proceeding, 2018

The discrete dipole approximation (DDA) has been suggested as a viable alternative method for computing the forward solutions during the iterative reconstruction process used in microwave tomography. While efficient algorithms such as finite difference time domain and finite elements have been successfully used by multiple groups, the forward solution time remains the time-limiting step. The DDA has been shown to be accurate and efficient as a forward solver. However, the configuration of the imaging scenario can have a significant impact on its efficiency. We examine two possible forward solution set-ups and describe the benefits with respect to implementing the DDA.

Author

Samar Hosseinzadegan

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Andreas Fhager

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Mikael Persson

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

Paul M Meaney

Dartmouth College

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering

2018 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING

1522-3965 (ISSN)

2295-2296
978-1-5386-7102-3 (ISBN)

IEEE-Antennas-and-Propagation-Society International Symposium on Antennas and Propagation / USNC/URSI National Radio Science Meeting
Boston, MA, USA,

Subject Categories

Computational Mathematics

Embedded Systems

Control Engineering

DOI

10.1109/APUSNCURSINRSM.2018.8609367

ISBN

9781538671023

More information

Latest update

8/20/2019