航空学报 > 2021, Vol. 42 Issue (11): 525049-525049   doi: 10.7527/S1000-6893.2021.25049

自主导航技术发展现状与趋势

王巍1, 邢朝洋2, 冯文帅3   

  1. 1. 中国航天科技集团有限公司, 北京 100048;
    2. 北京航天控制仪器研究所, 北京 100094;
    3. 北京航天时代光电科技有限公司, 北京 100094
  • 收稿日期:2020-12-03 修回日期:2020-12-20 发布日期:2021-04-29
  • 通讯作者: 王巍 E-mail:mems13@163.com
  • 基金资助:
    国防科技创新特区项目

State of the art and perspectives of autonomous navigation technology

WANG Wei1, XING Chaoyang2, FENG Wenshuai3   

  1. 1. China Aerospace Science and Technology Corporation, Beijing 100048, China;
    2. Beijing Aerospace Control Instrument Research Institute, Beijing 100094, China;
    3. Beijing Aerospace Times Optoelectronics Technology Co., Ltd., Beijing 100094, China
  • Received:2020-12-03 Revised:2020-12-20 Published:2021-04-29
  • Supported by:
    National Defense Science and Technology Innovation Special Zone Project

摘要: 自主导航技术是各类运动载体自动化、智能化运行的核心技术。简要介绍了自主导航技术的基本概念,综述了国内外航天、航空、舰船、车辆、单兵等领域的自主导航技术研究进展,对于自主导航的关键技术如惯性导航、惯性基组合导航、地磁导航、重力梯度导航、天文导航和多源信息融合等技术发展现状进行了分析,对自主导航技术的发展趋势进行了展望。可为中国未来各类主流自主导航系统研制提供参考,并为多种自主导航任务的总体设计提供帮助。

关键词: 自主导航, 惯性导航, 天文导航, 组合导航, 多源信息融合

Abstract: The autonomous navigation technology is essential for the automated and intelligent operation of various motion carriers. This article briefly introduces the basic concepts of autonomous navigation technology, and illustrates the research progress of the technology in the fields of aerospace, aviation, ships, vehicles, and individual soldiers at home and abroad. The key technologies for autonomous navigation such as inertial navigation, inertial-based integrated navigation, geomagnetic navigation, gravity gradient navigation, celestial navigation and multi-source information fusion are analyzed. Then, the development trend of the technology is discussed, which can provide reference for the development of various mainstream autonomous navigation systems in China and assistance for the overall design of a variety of autonomous navigation tasks in the future.

Key words: autonomous navigation, inertial navigation, celestial navigation, integrated navigation, multi-source information fusion

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