基于结构加权的海面编队预定目标选择方法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Predetermined target selection method for maritime formation based on structure weighted
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    海面目标运动和编队阵型的约束特性,使得通过对装订阵型和末制导探测阵型进行点集匹配来选择预定目标成为一种有效途径。但当编队目标释放干扰时,会引起阵型结构发生局部变化,导致目标选择性能恶化。本文基于反舰导弹目标选择需求,分析了传感器导航和探测误差、装订信息误差、编队目标运动和释放干扰等因素所引起的位置点集变形,通过利用阵型中未污染的结构信息,提出了基于几何散列法和结构加权平均Hausdorff距离的编队预定目标选择方法。理论分析和实验结果表明,该方法不受传感器导航误差和编队目标整体运动的影响,在编队存在冲淡干扰时能有效提高目标选择能力。

    Abstract:

    Due to the restriction characteristics of maritime target movement and formation, point sets matching between the bound formation and the detected one by terminal guidance has become an effective approach in selecting the predetermined target.. But the jamming existing within formation can cause the formation structure to change partially, which results in deterioration of the target selection performance. Based on the target selection need for anti-ship missile, the factors causing the position point sets to be differently distorted are analyzed, which mainly contain the navigation and detection errors of sensor, the bound information error, the formation targets motion and the released jamming. Subsequently, through effectively using the uncontaminated structure information, a predetermined target selection method for maritime formation that integrates geometric hashing and structure weighted mean Hausdorff distance was presented. Theoretical analyses and experimental results show that the method is not affected by the sensor navigation error and formations unitary movement; moreover, this method can effectively improve the target selection capability when there exist dilute jammings.

    参考文献
    相似文献
    引证文献
引用本文

罗小波,宋志勇,赵明波,等.基于结构加权的海面编队预定目标选择方法[J].国防科技大学学报,2013,35(4):79-86 ,120.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2012-11-14
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2013-08-22
  • 出版日期:
文章二维码