Abstract:
Frontal radar imaging has been proposed as an alternate technology to cameras for through wall surveillance and law enforcement. Cameras cannot see through wall as optic frequencies do not penetrate walls. On the other hand, radar operating in micro-wave frequencies, below 10GHz, can penetrate walls. High resolution images need radars operating at very high carrier frequencies and a large number of radar antenna elements. But higher frequencies are heavily attenuated by walls. Also, high frequency hardware is both costly and complex. In this work, we present a report on a previously proposed solution for through-wall radar imaging of humans using a low carrier frequency radar with few antenna elements. The radar image is constructed of a human moving in radial direction with respect to the radar. When a human moves, different body parts give rise to distinct Doppler returns. The key feature of the method is to dynamically resolve multiple body parts of the human across three dimensions: Doppler, azimuth and elevation. The additional Doppler dimension enables the relaxation of the resolution in terms of the carrier frequency and the number of array elements across the other dimensions. The solution looks promising. However, it has only been validated with simulation data. In this report, we further study the possibility of using Walabot, a 3D RF imaging sensor, to construct a frontal radar images in line-of- sight conditions