Over the last years, Lockheed Martin Canada has developed a Testbed to regroup and analyze fusion architectures, algorithms and information sharing strategies. This Testbed is used to demonstrate practical implementations of distributed data fusion between multiple collaborating platforms. In a decentralized data fusion center, there are many algorithms that process positional information coming from a network to generate a Global Tactical Picture. These algorithms tend to remove or prevent cross-correlation from being part of the received data. This paper compares four different track fusion algorithms applied in a simulation environment. There are two implementations of the Tracklet fusion approach, an algorithm based on track quality and an algorithm based on the source of the information.