Air Combat Platform-based Data Fusion Research

With the fast development of science and technology, such as microelectronics, computer, signal detection, signal processing, net communication and automatic control, etc, data fusion is paid much attention to and is widely used in military scout, information security, transport administration, industry simulation, and so on.In this thesis, some key techniques of data fusion are studied based on air combat platform. The main contributions are as follows:1. Provide an integrated system design scheme for air combat platform Data Fusion.2. Dempster-Shafer evidence reasoning is applied to combining different evidences coming from various sensors; To consider the evidences for a long time, a method of consequent target identification based on the decision from basic belief assignment is put forward. Which provides an efficient way to solve the problems of target identification based on multiple and asynchronous information sources.3. Analyze the definition, function of situation assessment & threat evaluation, based on the attributes of air combat platform. Gives out specific analysis on hiberarchy and Key factors' expressions of situation view and threat view.4. Put forward one index dependent on aircraft speed, distance, angle and altitude for evaluation of aircraft dynamic capability. The index extends the superiority index of helicopter suggested by Fred Austin. Furthermore, give out a comprehensive threat index, including dynamic and static capability both, to evaluate aircraft's total threat degree. The index is proven efficient in the later simulation.5. Improve and simplify the original algorithm for missile attack range, making the calculation faster and more efficient.