Micro-Doppler analysis of pedestrians in ISAR imaging

In radar imaging, it's well known that relative motion or deformation of parts of illuminated objects induce additional features in the Doppler frequency spectra. These features are called micro-Doppler effect and appear as sidebands around the central Doppler frequency. They can provide valuable information about the structure of the moving parts and may be used for identification purposes. Previous papers have mostly focused on ID micro-Doppler analysis by V.V.Chen et al (2002). In this paper, we propose to emphasize the analysis of such "non stationary targets" using a 2D imaging space, using both the micro-Doppler and a high range resolution analysis. As in 2D-ISAR imaging, range separation enables us to better discriminate the various effects caused by the time varying reflectors. We will focus our study on the human motion. Thanks to the micro-Doppler signature we are able to extract information on the gait of pedestrians. We will show examples on simulated and experimental data.