Multi-sensor Information Fusion Theory And Its Maneuvering Target Tracking Applications

With the need of modern war and the development of science and technology, traditional ways to solve information aren't satisfied with the need of the reliability for the information collection work .In order to meet this need ,people made many researches in the information process. With the development of the technology of the computer and automatic information fusion theory has been and is given wide attention; This paper studied state estimation in the multilevel multisensor information fusion based on multicoordinate .The problem of state estimation in the information fusion system the in the presence of random bias and maneuvering target tracking is studied in this paper . Considering this problem, we describe an information fusion method based on two-stage state estimation in the presence of random bias for multi-sensor information fusion systems. We propose a new information fusion way for multi-level multi-sensor system based on variable filter with input estimation.We analysed the algorithm that this paper have talked. By the numeral simulation, we have found that applied the algorithm to the target tracking , the proposed method has slight improvement on the input estimate and the velocity. In the last chapter of this paper we provides the multi-level multi-sensor information fusion system based on interval Kalman filter.