飞行仿真中雷达地形数据库构建关键技术
作者:
作者单位:

(1.海军航空工程学院信息融合研究所,山东 烟台 264001;2. 海军航空工程学院科研部,山东 烟台 264001)

作者简介:

通讯作者:

中图分类号:

TN955

基金项目:


Key Technology of Radar Terrain Database Construction for Flight Simulation
Author:
Affiliation:

(1.Naval Aeronautical and Astronautical University, Institute of Information Fusion, Yantai Shandong 264001, China;2. Naval Aeronautical and Astronautical University, Department of Scientific Research, Yantai Shandong 264001, China)

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:

    雷达图像仿真是飞行仿真的重要组成部分,而雷达地形数据库为雷达图像仿真提供基本的数据支持。为构建满足仿真精度与实时性要求的雷达地形数据库,对相关关键技术进行了研究。在分析雷达图像仿真原理的基础上,研究了雷达地形数据库在分布式飞行仿真系统中的应用方式和组成形式。根据所用数据源的不同,对雷达地形建模技术进行了分类,并分析了不同建模方法的优缺点。比较了网格式与多边形式2种数据存储与调度技术的特点和适用性,指出多分辨率表示技术雷达地形建模中的重要性,给出了一种材质数据多分辨率映射的基于材质最大出现概率的子取样方法。对机载雷达实波束地形测绘成像进行了仿真。

    Abstract:

    Radar image simulation is an important part of flight simulation, and radar terrain database is the base of radar simulation. Key techology on construction of radar terrain modeling was analyzed in order to support efficient radar image simulation. Composition of modeling and its application in distributed flight simulation were described. Terrain modeling strategies were categorized due to the difference of source data, and the characteristics of the strategies were described. Resolution requirement and storage and processing of database were analyzed to get their advantages, limitation and applicability. The importance of multi-resolution technology in radar terrain modeling was emphasized, and a new method for multi-resolution mapping of material data was presented. Finally, an example of airborne radar real beam ground mapping simulation was proposed.

    参考文献
    相似文献
    引证文献
引用本文

徐涛,周强,张立民,余应福.飞行仿真中雷达地形数据库构建关键技术[J].海军航空大学学报,2014,29(3):269-274
XU Tao, ZHOU Qiang, ZHANG Li-min, YU Ying-fu. Key Technology of Radar Terrain Database Construction for Flight Simulation[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2014,29(3):269-274

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:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2015-04-28
  • 出版日期: