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Common Database (CDB)

Training devices such as flight simulators have traditionally required a variety of different and unique databases to provide a synthetic representation of the world. These databases are generally created in a proprietary format for the associated simulation system, also called simulation clients, needing to use the database. These simulation clients include subsystems such as the out-the-window visual, radar, forward-looking infrared (FLIR), computer-generated forces (CGF), and more. Having many unique databases for each simulation system creates a number of challenges, such as correlating the databases or making rapid changes to the databases to support training and mission rehearsal requirements. 

CAE has developed a new approach and architecture for database publication called the common database (CDB). The CDB is a single, standard database that defines a single synthetic representation of the world, and all simulation systems use the same database – the CDB. The CDB is used as a run-time data repository from which the various simulation clients simultaneously retrieve relevant information to perform their respective run-time simulation tasks.  The bottom line result is that with the CDB, the creation, modification and correlation of run-time databases can take minutes or hours instead of days, weeks or months.  Just as importantly, these changes can be made very rapidly using the latest intelligence and source data available.

CAE originally designed and developed the CDB for the United States Special Operations Command (USSOCOM).  Following the development of the CDB architecture, CAE was responsible for implementing the CDB on two combat mission simulators for the U.S. Special Operations Forces 160th Special Operations Aviation Regiment – Airborne.  The first simulator to use the CDB was a MH-47G Chinook simulator, which became operational in the summer of 2007.  The CDB is playing a key role in meeting USSOCOM’s requirement for enhanced capabilities to support rapid mission rehearsal timelines using high-fidelity simulation.