Entropy-Based Time Window for Artifact Removal in UWB Imaging of Breast Cancer Detection

In this letter, we propose an entropy-based time window function for artifact removal in ultra-wideband (UWB) imaging of breast cancer detection. The artifact is due to the incident and skin-breast backscattered signal in such an imaging system. Observing that artifacts at different antennas are very similar, we define an entropy function in the antenna domain to measure the similarity of different antenna signals and design a rectangular window function to eliminate the artifacts. This window function is applied to the computed finite-difference time-domain (FDTD) data of the breast model with a tumor embedded. Compared with the Wiener filtering algorithm, this entropy-based algorithm is computationally simple. In addition, it requires no prior knowledge about the breast and the tumor and brings no distortion to the tumor reflection