Kavli Affiliate: Jing Wang
| First 5 Authors: Xinhui Zhang, Naike Du, Jing Wang, Andrea Massa, Xiuzhu Ye
| Summary:
Starting from the observation that the correlation coefficient defined by the
scattered field data tested by two adjacent antennas decreases with the noise,
it turns out that the imaging performance can be improved by adding
non-redundant scattered field information through more measuring
antennas.However, adding more measuring antennas faces practical challenges
such as the limited antenna space, high experimental expenses, and a prolonged
data collection time. Therefore, the frequency-domain zero-padding (FDZP)
interpolation method is proposed to acquire scattered field data on more
virtual antennas. To process the data, a linear inversion algorithm based on
the modified Born approximation (MBA) and the nonlinear subspace-based
optimization method (SOM) are used to image scatterers of moderate and high
contrasts, respectively. The effectiveness and the reliability of the proposed
approach are then assessed against synthetic data, semi-experimental data from
a full-wave simulation software, and experimental data.
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