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基于GM(1,1)预测算法的民航飞机实时轨迹可视算法
引用本文:钱睿,乐俊,刘丹.基于GM(1,1)预测算法的民航飞机实时轨迹可视算法[J].计算机系统应用,2017,26(11):187-192.
作者姓名:钱睿  乐俊  刘丹
作者单位:电子科技大学 电子科学技术研究院, 成都 611731,西南电子信息技术研究所, 成都 610041,电子科技大学 电子科学技术研究院, 成都 611731
摘    要:针对民航飞机动态飞行可视化中滞后和跳跃问题,研究并提出了一种基于预测的民航飞机实时轨迹可视化算法.算法包括轨迹点预测,目标点行进和误差修正三部分.轨迹点预测基于GM (1,1)算法进行改进,在每次迭代时依据所有先验点和搜索方向动态调整发展系数.目标点行进基于预测坐标点提出TSUS (Time Slice Uniform Speed)算法,TSUS算法保证了在既定时间内目标确实移动到目的地,且能够根据初始速度方向调整轨迹弧度.误差修正采用分段式误差修正策略,以平衡不同情况下精确性和实用性.实验表明,提出的算法模型可用于民航飞机可视轨迹渲染中,且能获得良好的效果,提高系统的可用性和用户体验.

关 键 词:可视化  GPS  运动预测  航空定位  轨迹追踪
收稿时间:2017/3/1 0:00:00
修稿时间:2017/3/16 0:00:00

Real-Time Trajectory Visual Algorithm of Civil Aviation Aircrafts Based on GM(1, 1) Algorithm
QIAN Rui,YUE Jun and LIU Dan.Real-Time Trajectory Visual Algorithm of Civil Aviation Aircrafts Based on GM(1, 1) Algorithm[J].Computer Systems& Applications,2017,26(11):187-192.
Authors:QIAN Rui  YUE Jun and LIU Dan
Affiliation:Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China,Research Institute of Southwest Electronic Telecommunication Technology, Chengdu 610041, China and Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
Abstract:Aiming at the lagging and jumping problems in dynamic flight visualization of civil aircrafts, a real-time trajectory visualization algorithm for civil aircrafts based on prediction is studied and put forward. The algorithm includes three parts:track point prediction, target traveling and error correction. The track point prediction is improved based on GM(1, 1) algorithm. In each iteration, the development coefficients is dynamically adjusted according to all priori points and the search direction. The target traveling is based on the TSUS (Time Slice Uniform Speed) algorithm, which ensures that the target does indeed move to the destination within a period of time and adjusts the trajectory according to the initial direction. The error correction adopts the segmented error correction strategy to balance the accuracy and practicality of different situations. Experiments show that the algorithm can be effectively applied to visual trajectory rendering of civil aircrafts and improve the usability and user experience of the system.
Keywords:visualization  GPS  motion prediction  aviation position  trajectory tracking
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