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兵工学报 ›› 2014, Vol. 35 ›› Issue (10): 1549-1555.doi: 10.3969/j.issn.1000-1093.2014.10.005

• 论文 • 上一篇    下一篇

智能弹药成像引信对地面车辆定位的算法研究

何小坤, 谌德荣, 宫久路, 李蒙   

  1. (北京理工大学 机电学院, 北京 100081)
  • 收稿日期:2013-12-18 修回日期:2013-12-18 上线日期:2014-11-28
  • 通讯作者: 何小坤 E-mail:henrybit2007@163.com
  • 作者简介:何小坤(1989—),男,硕士研究生
  • 基金资助:
    “十二五”国防基础科研项目(B2220132013)

Research on the Position Algorithm for Smart Munition Imaging Fuze

HE Xiao-kun, CHEN De-rong, GONG Jiu-lu, LI-Meng   

  1. (School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China)
  • Received:2013-12-18 Revised:2013-12-18 Online:2014-11-28
  • Contact: HE Xiao-kun E-mail:henrybit2007@163.com

摘要: 针对智能弹药对地面车辆的非合作定位问题,提出一种利用目标非合作固有几何特征的成像引信定位算法。建立了快速交会条件下的空间成像模型,结合地面车辆的特点提出了车辆轴线的概念;构建过轴线等特征直线和光心的平面,证明平面相交直线与目标轴线的平行关系,得到目标坐标系3个轴向的方向向量;以待定系数法描述车辆中轴面,通过建立点面距离关系推导实现了弹目相对位置的解算。分析弹目相对姿态对定位精度的影响,并通过仿真实验验证了误差规律。实验结果表明:智能弹药距地高度小于100 m时,定位相对误差小于5%,算法可有效地实现高精度定位。

关键词: 兵器科学与技术, 成像引信, 相对位置, 非合作特征, 方向向量, 定位精度

Abstract: To measure the relative position between smart munition and vehicle, a location algorithm for imaging fuze based on target geometrical characteristics which are non-cooperative and inherent is proposed. A space imaging model under the fast rendezvous is established to solve the problem, and then the axes of vehicle are defined according to the characteristics of vehicle. The plane consisting of optical center and feature lines across the axes is set up, the parallel relationship among axes and intersecting lines is proved, and the direction vectors of three target-coordinate axes are educed. Based on the direction vectors of target-coordinate axes and the method of undetermined coefficients, a medial plane which includes vehicle’s axes is described by expression. According to the distance constraints from 3D point to plane, the relative position between smart munition and vehicle is resolved by strict derivation. The effect of relative pose on solving error is analyzed, and the error rules are proved by experiments. The experimental results indicate that the relative error of location is less than 5% when the height of smart munition is less than 100 m, and the location algorithm could solve the relative position with high precision.

Key words: ordnance science and technology, imaging fuze, relative position, non-cooperative feature, direction vector, positioning accuracy