[1]谢 恺,秦鹏程.基于多普勒信息的炮位侦校雷达外推算法研究[J].弹道学报,2018,(04):53.[doi:10.12115/j.issn.1004-499X(2018)04-009]
 XIE Kai,QIN Pengcheng.Study on Extrapolation Method Based on DopplerInformation of Firefinder Radar[J].Journal Of Ballistics,2018,(04):53.[doi:10.12115/j.issn.1004-499X(2018)04-009]
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基于多普勒信息的炮位侦校雷达外推算法研究()
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《弹道学报》[ISSN:1004-499x/CN:32-1343/TJ]

卷:
期数:
2018年04期
页码:
53
栏目:
出版日期:
2018-12-31

文章信息/Info

Title:
Study on Extrapolation Method Based on DopplerInformation of Firefinder Radar
文章编号:
1004-499X(2018)04-0053-06
作者:
谢 恺秦鹏程
陆军炮兵防空兵学院,安徽 合肥 230031
Author(s):
XIE KaiQIN Pengcheng
Army Academy of Artillery and Air Defense,Hefei 230031,China
关键词:
炮位侦校雷达 数据处理 多普勒频率 无迹卡尔曼滤波 外推
Keywords:
firefinder radar data processing Doppler frequency unscented Kalman filter extrapolate
分类号:
TN963
DOI:
10.12115/j.issn.1004-499X(2018)04-009
文献标志码:
A
摘要:
针对一定条件下炮位侦校雷达定位精度偏低、引导射击能力偏弱的问题,考虑到随着新型炮位侦校雷达技术的发展,所测量的多普勒信息已具有较高的精度,提出将多普勒信息应用到观测模型中。结合无迹卡尔曼滤波,并将弹道系数引入状态变量,建立了基于多普勒信息的七维状态向量无迹卡尔曼滤波算法(七态DB-UKF算法)。理论分析与实验表明,该方法有效利用了雷达的多普勒测量信息,能够有效抑制估计误差,提高参数估计精度,进而提高了外推弹丸的落点精度。
Abstract:
In view of the problem of low positioning accuracy and weak guiding ability of firefinder radar under certain conditions,the Doppler information was applied to the observational model considering that the Doppler information has high precision with the development of the firefinder radar technology. Combined with the unscented Kalman filter,the ballistic coefficient was introduced into the state variables,and a seven-dimensional state-vector unscented Kalman filter algorithm(seven-state DB-UKF algorithm)was established based on Doppler information. The theoretical analysis and experiments show that the method can effectively use the Doppler measurement information of radar. The estimation error can be effectively suppressed,and the estimation accuracy of parameters can be improved,thus improving the location accuracy of gun position.

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备注/Memo

备注/Memo:
收稿日期:2018-07-05基金项目:十三五装备预研重点项目(3011020211)作者简介:谢恺(1980- ),男,副教授,博士。研究方向为雷达与电子对抗。E-mail:13966763470@163.com。
更新日期/Last Update: 2018-12-30