GPS技术下船舶姿态实时校正方法研究
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Research on real time correction of ship's attitude under GPS Technology
  • 作者:龚娟
  • 英文作者:GONG Juan;Wuhan University;Hunan Railway Professional Technology College;
  • 关键词:GPS技术 ; 船舶姿态 ; 实时校正 ; 卡尔曼滤波算法
  • 英文关键词:GPS technology;;ship attitude;;real-time correction;;Calman filtering algorithm
  • 中文刊名:JCKX
  • 英文刊名:Ship Science and Technology
  • 机构:武汉大学;湖南铁道职业技术学院;
  • 出版日期:2018-09-23
  • 出版单位:舰船科学技术
  • 年:2018
  • 期:v.40
  • 基金:2016年湖南省职业院校教育教学改革研究资助项目(ZJGB2016019)
  • 语种:中文;
  • 页:JCKX201818019
  • 页数:3
  • CN:18
  • ISSN:11-1885/U
  • 分类号:56-58
摘要
为提高船舶姿态实时校正精度,减少船舶姿态校正误差,设计了GPS技术下船舶姿态实时校正方法。首先对船舶姿态校正研究现状进行分析,找到船舶姿态校正误差产生的原因,然后采用GPS技术对船舶姿态进行初步校正,并采用卡尔曼滤波算法船舶姿态进行进一步校正,最后船舶姿态校正实验的结果表明,本文方法的船舶姿态实时校正精度高,船舶姿态实时校正速度快,获得了比其他方法更优的船舶姿态实时校正结果,具有较高的实际应用价值。
        In order to improve the real-time correction of ship attitude and reduce the real-time correction error of ship attitude, a real-time correction method of ship attitude based on GPS technology is designed. Firstly, the status of ship attitude real time correction research is analyzed, and the cause of ship attitude correction is found. Then GPS technology is used to correct the ship attitude, and the Calman filtering algorithm is used to further locate the ship attitude. Finally, the experimental results of ship attitude correction show that the ship's attitude correction experiment results show that this method is the ship's ship. The accuracy of real-time attitude correction is high, and the real-time correction speed of the ship's attitude is fast. The real-time correction results of ship attitude are better than other methods. It has high practical application value.
引文
[1]陈广东,黄雨泽,黄海行.极化域DOA估计与阵元姿态位置误差自校正[J].系统工程与电子技术,2017,29(10):2184-2189.
    [2]LLIOTT D KAPLAN,CHRISTOPHER J HEGARTY.Understanding GPS Principles and Applications 2nd Edition[J].Artech House Press,2005,46(14):346-415.
    [3]黄洋,姜文刚.飞行器航向姿态稳定性校正仿真研究[J].计算机仿真,2018,35(3):24-29.
    [4]郑帅超,房立金,徐志刚.单目视觉激光测距定位系统的标定与姿态校正[J].机械科学与技术,2017,36(12):1926-1923.
    [5]樊泽凯,贾红丽.基于布谷鸟搜索算法和支持向量机的故障预测模型研究[J].军事运筹与系统工程,2017,31(2):66-70.
    [6]赵鹏,张士柱,汪静.基于GPS/DR的车辆定位系统设计与实现[J].地理空间信息,2012,22(10):101-105.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700