节点文献

舰船方位变化规律灰预测及聚类分析研究

Research on Grey Model Prediction and Relevancy Analysis of Naval Vessel’s Bearing Varying Rules

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 黄文斌; 郝燕玲;

【Author】 HUANG Wen-bing1,2, HAO Yan-ling1 (1. Haerbin Engineering University, Haerbin 150001, China; 2. Navy Submarine Academy, Qingdao 266071, China)

【机构】 哈尔滨工程大学; 哈尔滨工程大学 哈尔滨150001 海军潜艇学院; 青岛266071; 哈尔滨150001;

【摘要】 舰船方位序列是一种带有灰色信息的时间序列,灰色系统理论是处理灰色信息的有力武器.文章在分析和阐述灰色系统理论的基础上,将其应用到舰船目标纯方位定位和要素解算领域,解决了传统的困扰解算目标运动要素的一些难点;提出了一些新的概念和方法,如目标方位序列集的概念和采用以某一方位为间隔的各方位区间的方位值数量作为灰色聚类中的灰聚类因子的方法,既可以有效区分不同方位序列集的分类,还能据此反演得到目标速度、航向以及位置信息的大概范围.

【Abstract】 The naval vessel bearing series is a kind of time series, which contains grey information. The Grey Model Theory is a strong weapon of dealing with grey information. On the basis of analysis and expatiation of the Grey Model Theory, it is applied in the area of the naval vessel bearing-only location and movement analysis (CLMA) to solve the traditional difficulties. Some new concepts and method, such as contact bearing series set and the bearing numbers existing in a bearing span being used as the grey cluster element, have been brought forward to separate a specific bearing series from others, and induce the target’s range of velocity, course and location from the process.

  • 【分类号】U675.7
  • 【被引频次】2
  • 【下载频次】83
节点文献中: 

本文链接的文献网络图示:

本文的引文网络