A Study On Information Fusion Method Of Data Link And Passive Radar

Single sensor received information gradually can't reached the requirements of accuracy, real-time and reliability, for the working environment is becoming more and more complexity. Especially when watching, tracking the high-speed object. Single object has not achieved the demand. New approach of advanced tracking and watching system is provided for the development of sensor's technology and information fusion. Multisensor information fusion to the flexible object has aroused widely attention. At the dissertation, tracking the high flexible object is emphases. A new algorithm of adaptive fuzzy α—β—γ filter is presented on the base of discussing several flexible models of object and optimum estimation algorithms. Filter and fusion are simulated to various flexible object's information. The simulation shows that adaptive fuzzy α—β—γ filter algorithm can improve the filtering result, improve the accuracy of information fusion, save the time of processing data.The works of this dissertation are mainly carried out as following aspects:(1) Several models describing object's flexibility at two and three dimension coordinates are provided. The model in this dissertation is established comparing the advantage and disadvantage of models.(2) Algorithms of information fusion and optimum estimation arc presented. Kalman filter is detailedly introduced. Simplified Kalman filter at stable situation is particular analyzed.(3) Characteristic of passive radar tracking object and data link is introduced. The theory and levels of information fusion are introduced.(4) A new algorithm, adaptive fuzzy α—β—γ filter, is presented for tracking the high flexible object. The feature of adaptive fuzzy α—β—γ filter is analyzed at the various flexible tacks and various noises.(5) The characteristic of information fusion, adopting adaptive fuzzy α—β—γ filter and Kalman filter, is simulated and researched. The researching conclusion is presented.The accuracy of Adaptive fuzzy α—β—γ filter presented at the dissertation dealing with the information fusion between data link and passive radar. It is significant and valuable in practice.