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The Research and Application of Multi-sensor Information Fusion

Author: YangHui
Tutor: JiaoShuHong
School: Harbin Engineering University
Course: Signal and Information Processing
Keywords: Multi - mode combined guidance Data preprocessing Data Association Data decision - making Data Fusion
CLC: TP202
Type: Master's thesis
Year: 2010
Downloads: 449
Quote: 2
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Abstract


The use of precision-guided weapons makes multi-mode combined guidance technology has been greatly developed, the main application of the multi-sensor information fusion technology in multi-mode combined guidance system, integrated measurement information from different sensors, data preprocessing, data association, decision-making and data fusion, to make the right judgment and decision-making, while greatly improving the accuracy of the system of multi-mode combined guidance. In this thesis, the theoretical study and practical application of multimode composite guidance technology of multi-sensor information fusion technology. Data preprocessing, a least squares alignment algorithm, focused on the Kalman filter algorithm, effectively excluding outliers algorithm and least squares filtering algorithm, and the simulation and comparison. Data Association, the main research nearest neighbor data association algorithm, probabilistic data association algorithm, the joint probabilistic data association algorithms and gray relational data association algorithm and the gray relational data association algorithm based on the the gray relational data based on entropy weight correlation algorithm, the algorithm can be adaptive features based on feature information given weight, the association more reasonable and reliable results. Data in decision-making, to discuss the the the DS evidence synthesis theory and its improved algorithm. And summed up when airspace decision method based on entropy weight gray relational theory and DS evidence combination, The algorithm uses the gray correlation degree of entropy weight to form a sensor reports, sensor reports the temporal and spatial integration of judgment based on DS evidence synthesis theory, Simulation results show that the algorithm can remove redundant information and reduce uncertainty, the verdict high reliability. DS evidence the synthetic theory can not solve the serious problem of conflict and non-mutually exclusive evidence, the introduction of a convex optimization algorithm, the simulation results of the algorithm have a good verdict. Data fusion, the study track fusion algorithm, the Federated Kalman filtering algorithm, and the least square fusion algorithm, simulation and comparison of the three algorithms. In practical applications, debugging information fusion extension, writing and debugging the PC interface. The extension has finished debugging, real-time measurement data of each extension data preprocessing, data association, data decision-making and data fusion to improve the accuracy of the system of multi-mode combined guidance. Currently, the extension planning for the next system FBI.

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