MM-Waves Modulated Gaussian Pulse Radar Breast Cancer Imaging Approach Based on Artificial Neural Network: Preliminary Assessment Study

Abstract

This paper provides a preliminary assessment study of a new millimeter (mm)-waves modulated Gaussian pulse (MGP) radar imaging technique based on the use of artificial neural networks (ANNs) for breast cancer detection. Most of the proposed UWB radar imaging techniques tend to work using pulse at central frequency of few gigahertz, where this translates in a suboptimal imaging resolution. In order to improve the resolution, a mm-waves MGP centered at 30 GHz is here assessed. The measured radar signals are then processed using an ANN. The use of ANNs provides the advantage to obtain results with very low computational burden and in quasi-real-time.