Title :
Polarization-contrast sensing in complex environment for through-the- wall microwave imaging applications
Author :
Yemelyanov, K.M. ; McVay, J.A. ; Hoorfar, A. ; Engheta, N.
Author_Institution :
Villanova Univ., Villanova
Abstract :
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.
Keywords :
frequency-domain analysis; microwave imaging; polarisation; principal component analysis; adaptive polarization-contrast sensing; complex environment; frequency domain; human arm motion; principal component analysis; through-the-wall microwave imaging applications; Dielectrics; Frequency domain analysis; Humans; Layout; Microwave imaging; Object detection; Optical imaging; Optical polarization; Optical scattering; Time domain analysis;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2007 IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-0877-1
Electronic_ISBN :
978-1-4244-0878-8
DOI :
10.1109/APS.2007.4395784