Fusion of GMTI Reports from Multiple Sensors in Clutter

"Airborne systems for ground surveillance of mobile targets provde ever more significant tactical information for military operations. Fusion of ground moving target indicator (GMTI) radar data from multiple airborne platforms with overlapping fields ofregard can improve tracking of moving ground targets. OSD is actively working to establishe capabilities in collaborative surveillance tasking and exploitation of airborne surveillance data. In many operational scenarios GMTI performance is limited due toexcessive ground clutter, target motion and airborne platform surveillance geometry. Modern methods in multiple target tracking can be enhanced to provide improved fusion of GMTI radar data by exploiting known properties of airborne GMTI radars. Improvedsensor models which can predict detection and measurement precision for specific classes of radar in various clutter levels are needed to enable improved tracking. This effort will analyze, develop and demonstrate a Multiple Platform-GMTI MultipleHypothesis Tracking based system, which mitigates the effects of realistic distributed and discrete, non-gaussian, non-stationary clutter with internal motion."