Asymmetry Detection in a Noisy Microwave-Based Biomedical Diagnosis

This paper explores the conditions for detecting asymmetries in a noisy microwave-based diagnosis scenario with the potential to be used in biomedical applications. The asymmetry is caused by changing the real and imaginary part of the permittivity in one-third of the diagnosis domain where 3 antennas that form 2 symmetric channels are used. It is shown that with a simple diagnosis algorithm, the diagnosis rate can be improved by using the information from both channels.