Polarization-contrast sensing in complex environment for through-the- wall microwave imaging applications

Adaptive polarization-contrast techniques were applied to a model of human arm motion inside the room. Simulated results show the possible utility of the method for the case where reflections from multiple walls are present. Polarization-contrast sensing in the frequency domain may help us estimate the relative position of the arm with respect to the torso. This is achieved by analysis of optimal angles in the principal component analysis. Other results for targets in more complicated multipath environments will be given in the presentation.