• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Machine Learning and Cybernetics >General aircraft 4D flight trajectory prediction method based on data fusion
【24h】

General aircraft 4D flight trajectory prediction method based on data fusion

机译：基于数据融合的通用飞机4D飞行轨迹预测方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In order to accurately predict general aviation aircraft path, this paper puts forward the basic flight model prediction method based on data fusion. The 4D trajectory track is decomposed into horizontal and vertical section. The horizontal trajectory can accurately show the plane turning of the flight details. The vertical section can accurately express the change of aircraft flight altitude and speed. Through analyzing the characteristics of the section form and structure, and then the basic aircraft flight model and data fusion are combined and apply the idea of the weighted average method with the location, altitude, speed and heading of the plane history track feature points based data to predict and form a completed 4D trajectory accurately. An example of aircraft flying by the simulation calculation is performed to get the aircraft level track relationship with the altitude and speed.
机译：为了准确地预测通用航空器的航迹，提出了一种基于数据融合的基本飞行模型预测方法。 4D轨迹轨迹被分解为水平和垂直部分。水平轨迹可以准确显示飞行细节的平面转弯。垂直部分可以准确表示飞机飞行高度和速度的变化。通过分析断面形状和结构的特征，然后将基本的飞机飞行模型和数据融合相结合，并将加权平均方法的思想与基于飞机历史轨迹特征点的位置，高度，速度和航向一起应用以准确预测并形成完整的4D轨迹。通过模拟计算来执行飞行器飞行的示例，以获得飞行器水平轨迹与高度和速度的关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号