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火箭飞行信息实时融合检择与平滑求速方法研究
Research on Information Real-time Fusion & Selecting and Differential Smoothing Technology of Rocket’s Measurement Data
【摘要】 研究火箭飞行测量数据实时融合检择及由航迹位置平滑求速的关键技术。针对火箭飞行测量数据处理的特性,提出两信源、多信源航迹融合检择技术和基于火箭飞行位置(序贯)融合平滑高精度求速方法,有效地剔除了融合前原始信息的过失误差(野值),解决了因过失误差而造成的融合结果信息可靠性降低问题,从而提高了测量信息的融合处理精度。方法实际应用效果良好。
【Abstract】 The key technology of real-time fusion & selecting and differential smoothing stationary speed based on the rocket’s measurement data is studied. Aiming at the traits of more sources information of vehicle,the mathematical model of fusion & selecting for two or more sources measurement data of the rocket is established,and the time-fusion method to solve the differential smoothing stationary speed leaping is given. The data lapse error before the fusion & selecting is eliminated in effect,and the problem that the fusion and selecting reliability is debased because of the source data lapse error is solved. The precision of the cross fusion of the measurement information is improved. The application effect of this method is very good.
- 【文献出处】 遥测遥控 ,Journal of Telemetry,Tracking and Command , 编辑部邮箱 ,2013年05期
- 【分类号】V417
- 【被引频次】6
- 【下载频次】66