| 卡尔曼滤波在落点偏差预测中的应用 |
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| 引用本文： | 王新,杨锁昌,张敏,张英.卡尔曼滤波在落点偏差预测中的应用[J].黑龙江电子技术,2013(11):180-182. |
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| 作者姓名： | 王新 杨锁昌 张敏 张英 |
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| 作者单位： | [1]济南军区装备部军械雷达修理所,济南250000 [2]军械工程学院导弹工程系,石家庄050003 [3]南京军区装备部军械装甲部,南京210016 |
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| 摘 要： | 研究了摄动落点偏差预测算法,对预测算法的误差分析表明,弹道测量误差对算法预测精度有较大影响,建立了卡尔曼弹道滤波模型对弹道测量数据进行滤波处理,以消除弹道测量随机误差,提高摄动落点偏差预测算法的精度,仿真结果表明,采用卡尔曼滤波可以大幅提高落点偏差预测算法的精度.
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| 关 键 词： | 卡尔曼滤波 落点偏差预测算法 BD2 |
Application of Kalman filter in impact point deviation prediction algorithm |
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| Authors: | WANG Xin YANG Suo-chang ZHANG Min ZHANG Ying |
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| Affiliation: | 2 (1. Ordnance Radar Repair Depot, Jinan Military Region, Jinan 250000, China; 2. Department of Missile Engineering, Ordnance Engineering College, Shijiazhuang 050003, China; 3. Ordnance Armor Department, Nanjing Military Region, Nanjing 210016, China) |
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| Abstract: | The impact point deviation prediction algorithm based on perturbation theory is studied,the error analysis of the algorithm shows that trajectory measurement error has a big impact on the algorithm accuracy,therefore,Kalman filter model is established to filter the trajectory measurement data,eliminate the random errors and improve the algorithm accuracy.The simulations indicate that the impact point deviation prediction algorithm accuracy is improved greatly using Kalman filter. |
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| Keywords: | Kalman filter impact point deviation prediction BD2 |
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