Integrated GMTI radar and report tracking for ground surveillance

The fusion of information gathered from multiple sources is essential to build a comprehensive situation picture for ground surveillance. In this paper, an approach which performs data correlation and fusion for ground moving target indicator (GMTI) radar data and SALUTE reports is described. GMTI data are simulated based on the ground truth of a military exercise and processed by a GMTI group tracker employing a Cardinalized Probability Hypothesis Density (CPHD) Filter. Multi source fusion is performed by combining the GMTI tracker and report tracker using our data fusion architecture. The scenario used in the experiment is tracking of closely spaced ground targets by GMTI, supplemented with some collected SALUTE reports. The challenges include tracking ground targets moving across foliage and tactical movement (start-stop mode). Using the designed test scenarios, this paper looks into different aspects of benefits by performing cross fusion with GMTI data and SALUTE reports.