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多数据融合在导弹遥测监控视景仿真的应用 被引量:2

Application of Multi-sensor Data Fusion in Visual Simulation System of Missile Telemetry Monitoring
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摘要 针对目前传统遥测系统在获取导弹的姿态参数、环境参数和工作状态数据显示不够直观且不利于监控和显示飞行轨迹的问题,设计了遥测监控视景仿真系统;该系统通过卫星通信模块将采集到的弹道姿态参数信息利用卡尔曼滤波算法进行数据融合后传输到用户终端,实时驱动视景仿真系统中导弹三维仿真场景以便直观形象真实地显示导弹运动状态;实验结果表明了该系统可多次多视角重复观测导弹飞行状态,可实时再现导弹飞行发射过程,有利于提高导弹研发效率并显著降低研发成本。 Aiming at the problem that the ordinary telemetry system can not visually display the missile--related attitude parameters, the relevant environmental parameters or working conditions, designed a telemetry and simulation system. To drive the three--dimensional simulation scene of visual simulation system in real time for displaying the missile motion state visually, this system will be collected by the ballistic trajectory parameters using the Kalman filtering algorithm for data fusion to the user terminal through the satellite communication module. The experimental results show that this system can observe the shell motion state often repeated and from multiple perspectives, represent the shell flight procession realistically, this system is benefit to improve the efficiency and lower the cost of the research of the shell.
出处 《计算机测量与控制》 2016年第11期107-110,共4页 Computer Measurement &Control
关键词 遥测技术 视景仿真 数据融合 卡尔曼滤波算法 telemetry visual simulation data fusion, Kalman filtering algorithm
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