| In the moden war, improving the apperception of campaign space, the capability of observation, orientation, decision and action will be greatly increased. The information getting capability of single sensor node is needed to improve, and the information sharing by multiple sensors to hugely improve the battlefield information apperception capability is more important. The data confluction by multiple sensors is to synthesize the local data from different sensors, whose types are the same or different. So that, the redundancy and conflict is eliminated. The data advantages are used, and the full apperception description is formed, and the speediness and correctness of brainpower system decision and the scientificalness of planning are improved. The main work of this paper are as follows:1. The track extraction question is researched. The extraction methods based on observation, logic and amendment logic are realized, and the amendment logic track extraction method based on conic coupling extrapolation is proposed.2. The track correlation question is researched. The correlation methods based on blur math, nerve network and similar degree, and the track correlation method based on map theory is proposed.3. The warp elimination question is researched. The warp elimination methods based on Bayesian filtering, Kalman filtering and particle filtering can not be used in differ paces. The simple and applied inner insert mean filtering method based on distance plus weight is designed.4. The track amalgamation question is researched. The amalgamation methods based on relation matrix, digital filtering and plus weight estimate are studied, and the plus weight amalgamation estimate algorithm is proposed.5. The simulate system is designed, and the program is realized, and the main functions are introduced, and the running results are shown. The experimental results shows that, the sytem can effectively realize the track amalgamation and forecast, and the object track and strike effect is good. |
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