测绘学报 ›› 2016, Vol. 45 ›› Issue (5): 505-510.doi: 10.11947/j.AGCS.2016.20160127

• 综述 •    下一篇

综合PNT体系及其关键技术

杨元喜   

  1. 西安测绘研究所地理空间工程国家重点实验室, 陕西 西安 710054
  • 收稿日期:2016-03-20 修回日期:2016-03-26 出版日期:2016-05-20 发布日期:2016-05-30
  • 作者简介:杨元喜(1956-),男,博士,研究员,中国科学院院士,主要从事动态大地测量数据与卫星导航数据处理研究。

Concepts of Comprehensive PNT and Related Key Technologies

YANG Yuanxi   

  1. National Key Laboratory of Geo-Information Engineering, Xian Research Institute of Surveying and Mapping, Xi'an 710054, ChinaAbstract
  • Received:2016-03-20 Revised:2016-03-26 Online:2016-05-20 Published:2016-05-30

摘要: 综合定位、导航与授时(PNT)的核心是不过分依赖GNNS,采用一切可以应用的PNT信息源实施全空域目标定位、导航与授时服务。本文分析了综合PNT需求,论述了综合PNT的基本定义和基本概念,分析了综合PNT所涉及的信息源,论述了综合PNT关联的核心技术,包括多源PNT传感器集成技术、多源PNT的数据融合技术。强调指出,综合PNT体系的信息源必须是"基于不同物理原理的多源信息";综合PNT的运控系统应该基于云平台,实现用户志愿者共同测控;用户终端或传感器必须"深度集成、低功耗";PNT服务信息必须是"智能融合或自适应融合"。综合PNT系统应该在统一时空基准下,满足服务的可用性、精确性、可靠性、连续性和稳健性。

关键词: 综合PNT, 多源信息, 传感器集成, 自适应数据融合, 稳健性

Abstract: The core idea of comprehensive positioning, navigation and time (PNT) is the technique that uses all the available resources to provide PNT services in the whole area, including inside and outside door, air, space, under water and underground, which does not solely rely on the GNSS. The definition and basic concepts of the comprehensive PNT are presented. The possible signal sources are listed. The core technologies related to the comprehensive PNT are analyzed, including the integration of the multiple sensors and adaptive data fusion for multiple PNT signals. It is emphasized that the information of the comprehensive PNT should be from "multiple sources based on different physical principles", the control system should be operated by voluntary users based on cloud platform, the user terminals or sensors should be "deeply integrated" and the PNT information should be "adaptively fused" and serve mode might be based on cloud platform. The comprehensive PNT system should meet the robust availability, continuity, high accuracy and reliability with unified geodetic datum and time datum.

Key words: comprehensive PNT, multiple signal source, integration of sensors, adaptive data fusion, robustness

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