Extraction of life sign of human being hidden behind the wall

Abstract

Extraction of life sign of human being who is hiding behind the wall is addressed in this paper. The major problem in extraction of life sign signal is weak signal to clutter ratio. To improve the signal to clutter ratio, Singular Value Decomposition (SVD) is used. Experimental setup using Stepped-frequency continuous wave (SFCW) radar system is used to extract life sign of human being entrapped behind a plywood wall. After improving signal to clutter ratio, location of life sign signal i.e., breathing signal is obtained using standard deviation and frequency of breathing signal is extracted using Fast Fourier transform (FFT) successfully.