Imaging Performance Enhancement using Virtual Antennas for Inverse Scattering System in Noisy Environment
arxiv(2023)
摘要
In this paper, it has been observed that the correlation coefficient defined
by the scattered field data tested by the two adjacent antennas decreases with
noise, which implies that additional nonredundant scattered field information
can be obtained to improve the imaging performance by setting more measuring
antennas. However, the practical implementation of adding more measuring
antennas faces challenges such as limited antenna space, high experimental
expenses, and prolonged data collection time. To this end, the frequency-domain
zero-padding (FDZP) interpolation method is proposed to acquire scattered field
data on more virtual antennas, thereby improving the imaging performance. A
linear inversion algorithm modified Born approximation (MBA) method and a
nonlinear algorithm subspace-based optimization method (SOM) are employed for
imaging scatterers of moderate and high contrast, respectively. Finally,
synthetic data based on an ideal cylindrical wave source obtained using the
method of moment (MOM), and semi-experimental data using full-wave simulation
software HFSS, as well as experimental data, are used to validate the
effectiveness and reliability of the proposed method, respectively.
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