舰船电子工程2024,Vol.44Issue(2) :115-118,126.DOI:10.3969/j.issn.1672-9730.2024.02.024

基于Geohash的海战场仿真兴趣实体过滤方法

A Method for Filtering Entities of Interested Based on Geohash in the Naval Battlefields Simulation

孙康 初阳
舰船电子工程2024,Vol.44Issue(2) :115-118,126.DOI:10.3969/j.issn.1672-9730.2024.02.024

基于Geohash的海战场仿真兴趣实体过滤方法

A Method for Filtering Entities of Interested Based on Geohash in the Naval Battlefields Simulation

孙康 1初阳1
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作者信息

  • 1. 中国船舶集团有限公司第七一六研究所 连云港 222061
  • 折叠

摘要

在虚拟海战场仿真中,按空间地理信息快速过滤出感兴趣的仿真实体能够有效加快仿真进程.在分析了海战场作战仿真中特性的基础上,论文提出了基于Geohash的海战场仿真兴趣实体过滤方法,该方法将改进的前缀树(trie-tree)与Geohash相结合,并具体描述了其在探测仿真过程中的应用方式.将所提出的方法与其他的传统算法进行对比实验分析,证明了该方法在海战场仿真中对兴趣实体过滤的有效性.

Abstract

In the naval battlefields simulation,the simulation process can be effectively accelerated by filtering out interested simulation entities according to spatial geographic information.On the analysis of the characteristics of the naval battlefields simula-tion,this paper proposes a method for filtering entities of interested in the naval battlefields simulation based on Geohash.The algo-rithm combines the improved trie-tree with Geohash,and specifically describes the application in the process of detection simula-tion.Finally,the experimental analysis between the proposed algorithm and other traditional algorithms proves the effectiveness in filtering entities of interested.

关键词

海战场/实体仿真/Geohash/实体过滤/前缀树

Key words

naval battlefield/entity simulation/Geohash/filtering entities/trie-tree

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出版年

2024
舰船电子工程
中国船舶重工集团公司第709研究所 中国造船工程学会 电子技术学术委员会

舰船电子工程

CSTPCD
影响因子:0.243
ISSN:1627-9730
参考文献量17
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