| Summary: | 碩士 === 國防大學理工學院 === 電子工程碩士班 === 102 === Joint Tactical Information Distribution System (JTIDS) is a military tactical data link used by National Forces. It was applied in accordance with associated protocol by the automatic transmit the message of the battlefield situation, intelligence, command and control order processing between sensors, command and control information platforms and weapons platforms. In the meanwhile, it was also called technical basis on the military electronic message systems, network links and exchange of information interoperability in the tri-military services. The North Atlantic Treaty Organization (NATO) and their other Allies are also integrating the JTIDS into the application of the warfare. Nowadays, JTIDS we used communication components of the multifunctional information distribution system (MIDS).
The application of the JTIDS, it is same as Link-4A, Link-11 and Link- 11B on overall purpose, which are function of the real time tactical information exchange between military units. Nevertheless, it provides the data exchange elements that these Links have lacked, and also provides more significant features in promotion of the function, for example, the property are the nodelessness, anti-jamming, communication flexibility, separation of transmission and confidentiality of information, increasing the number of participating units, expanded data capacity, the network navigation features and voice encryption.
In this thesis, we explore how to effectively employ the big data of packet in the JTIDS messages. On the basis of the J-series packet format, we apply the simulator to generate the track. Firstly. Secondly, the method of the regression analysis is utilized to build the module. Depended on using the module describes the simulated trajectories, it reached the object of the reduction about trace information in big data. The reduction can be expressed of the full trajectory in the situation. Finally, it combines with the military map data platform, Skyline, which is being used to validate the performance. We provided a simple and convenient method about trajectories description, and also reduce trace information in the big data of the JTIDS. We expect our proposed could be applied on the training program and maneuver effectively.
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