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Design of Integrated Navigation System Based on Information Fusion Technology for the Intelligent Transportation System

机译:基于信息融合技术的智能交通系统组合导航系统设计

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In recent years there has been a major upsurge of interest in the integrated global positioning system (GPS) / inertial navigation system (INS) as a cost-effective way of providing accurate and reliable navigation aid for civil and military vehicles. This thesis discusses the technology problem and calculation methods of GPS/INS integrated navigation system. The GPS/INS integrated navigation system based on information fusion technology and a multi-sensor information fusion algorithm based on Federal Kalman filter is analyzed in detail. The federal KF algorithm suitable for this application is also developed; and preliminary computer simulation results are given and the simulation results show that Kalman filter can deal with information fusion for the GPS/INS integrated system.
机译:近年来,人们对于集成全球定位系统(GPS)/惯性导航系统(INS)的兴趣激增,这是一种为民用和军用车辆提供准确而可靠的导航辅助的经济有效的方法。本文讨论了GPS / INS组合导航系统的技术问题和计算方法。详细分析了基于信息融合技术的GPS / INS组合导航系统和基于联邦卡尔曼滤波器的多传感器信息融合算法。还开发了适用于该应用的联邦KF算法;给出了初步的计算机仿真结果,仿真结果表明,卡尔曼滤波器可以处理GPS / INS集成系统的信息融合。

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