基于卡尔曼滤波的弹道轨迹修正研究
首发时间:2010-06-28
摘要:精确打击是当今武器的发展趋势。长射程的炮弹、导弹在飞行过程中会受到风速、音障等多种因素的影响,导致弹落点与理论值存在较大偏差。为了提高打击精度与打击效果,必须对弹道轨迹有一个精确的描述。弹道轨迹数据一般利用雷达、GPS等进行测量,测量值不可避免的含有误差,为研究飞行轨迹带来困难。本文利用卡尔曼滤波算法对飞行轨迹测量数据进行滤波,结果表明,卡尔曼滤波效果明显,可为研究弹道轨迹提供技术帮助。
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Study of trajectory correction based on the Kalman Filtering
Abstract:The development trend of weapons is the precision strike weapons. The ballistic trajectory will be seriously inflected because of the wind and the sound barrier. In order to improve the accuracy and the combat effectiveness, the precision ballistic trajectory must be measured. The trajectory data which generally is measured by radar and GPS contains errors inevitably. In this paper, the trajectory was filtered by Kalman Filtering, and the data after filtering shows that Kalman Filtering can provide for the research on trajectory study.
Keywords: ballistic trajectory Kalman Filtering precision guidance
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No.4376993521724127****
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