Multiple Sensors improve tracking performance. The Kinematic Automatic Tracker (KAT) may drop a track when the Joint STARS aircraft is turning or the track is screened. In situation like this multiple sensors can improve tracking performance. Two algorithms for tracking moving targets using multiple sensors are developed. Both algorithms are based on modifying the existing KAT architecture. The first approach is based on the use of the best sensor's Moving Target Indicators (MTIs) when the sensors have overlapping dwells. The second and more general approach uses the report-to-track fusion algorithm. The first approach is frame- based (with multiple dwells), whereas the second approach is dwell- based. The tracking results are presented for the first algorithm for a two-sensors Korean scenario with increasing complexity. We also show the advantages of using multiple sensors for tracking using a simulated Korea scenario. For the report-to-track fusion algorithm, we present preliminary tracking results for a simulated scenario using two UAV sensors.