Tools for the efficient implementation of the DBIM algorithm in microwave imaging experiments

We present two efficient tools to improve both the experimental data and the reconstruction results in microwave imaging. The time-gating technique can remove part of the unexpected reflections of the cables and tanks, thus improving the quality of the received signals obtained from the experiment system. We also apply the fast iterative shrinkage thresholding algorithm (FISTA) to the distorted Born iterative method (DBIM) as a linear inverse solver at each iteration of the DBIM, which shows better capabilities than the conventional conjugate gradient least squares (CGLS) method with experimental data. Results confirm that the two tools used in the DBIM can be efficient and accurate when employed in the microwave imaging system.