Microwave Breast Cancer Imaging via MVDR Beamforming Using Compressive Sensing

In microwave breast cancer imaging the signals are ultra-wideband and because of this, according to the nyquist theorem, the sampling rate of the signal is vey high. In this paper a novel breast cancer imaging method using compressive sensing (CS) is proposed. In this method, the received signals are sampled with a rate less than the nyquist rate, then using compressive sensing, we reconstruct the original signals and perform the minimum variance distortionless response (MVDR) beamforming for breast cancer imaging. Comparing the results of the proposed method with the results of the previous MVDR beamforming method, we conclude that using our method we can detect the tumor place with lower samples than the nyquist rate. We compare the signal-to-clutter-ratio (SCR) of these two methods.