The analysis of TWI data for human being´s periodic motions

The ultra wideband (UWB) radar has greater advantage in estimate positions and shapes of the target in Through Wall Imaging (TWI). One significant characteristic of human beings is the periodic motion, such as respiration and movement of arms. In this paper, we apply the UWB pulse radar to detect the periodic motion in through-wall detection. We present methods based on the FFT and time-frequency analysis to detect periodic motions characters using the TWI data. In particular, we extract the frequency of the periodic motion, characterize time-frequency features, the size and position of the human being from the TWI images. It is straight forward to use the method in other applications such as earthquake and fire rescue.