IMAGING OF OBJECTS FROM RF RADAR RETURNS

Helios Remote Sensing Systems and Syracuse Research Corporation propose to develop algorithms that interpret raw high resolution sense through the wall (STTW) radar returns of objects of interest, both stationary and nonstationary, and to develop visualization methodologies providing virtual renderings of these objects based on parametric information contained in raw image data. 2-D and 3-D imaging of objects of interest detected behind walls, particularly humans, is the primary focus of this research. Movements of the human body provide characteristic RF features that provide information on the location of human limbs and joints, as well as human body orientation and direction of travel. Properly interpreting these signatures within the radar returns will enable the generation of virtual renderings of human posture and orientation signatures of the detected human using STTW radar measurements. It is the objective of this proposed research and development effort to exploit these subtle dynamic micro-Doppler and instantaneous frequency features and to develop the algorithms for real-time display of virtual images of the interpreted radar returns. Similarly, inanimate objects will be imaged using UWB high resolution SAR techniques similar to those currently being used in ongoing sense through the wall radar developments.