中国空间科学技术

›› 2011, Vol. 31 ›› Issue (4): 38-47.doi: 10.3780/j.issn.1000-758X.2011.04.006

• 第二届中国卫星导航学术年会论文 • 上一篇    下一篇

新一代GNSS接收机的智能跟踪状态评估技术

金力, 陆明泉, 冯振明   

  1. （清华大学，北京 100084）
  • 收稿日期:2011-03-18 修回日期:2011-03-29 出版日期:2011-08-25 发布日期:2011-08-25
  • 作者简介:金 力 1984年生，2007年毕业于北京大学电子学系。现为清华大学电子工程系博士研究生。研究方向为新一代GNSS接收机基带信号处理。

Intelligent Tracking State Estimation Technology for New Generation GNSS Receivers

JIN  Li, LU  Ming-Quan, FENG  Zhen-Ming   

  1. （Tsinghua University, Beijing 100084）
  • Received:2011-03-18 Revised:2011-03-29 Published:2011-08-25 Online:2011-08-25

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被引次数

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摘要： 新一代全球导航卫星系统的接收机需要根据用户所处环境，自适应地调整接收机内部参数以达到最稳健的导航效果。这就要求接收机在运行过程中通过评估跟踪状态去检测和分析用户场景。基于对传统接收机控制系统缺陷的分析，提出了智能接收机的概念、特点及系统框架；在此基础上设计、分析接收机的智能跟踪状态评估算法；最后通过仿真验证了所设计的算法可以有效地识别场景及场景间的切换。

关键词: 智能接收机, 跟踪, 自适应神经网络模糊推理系统, 全球导航卫星系统, 仿真

Abstract: New generation global navigation satellite system （GNSS）receivers should adjust internal parameters automatically according to the users′ locations to provide better navigation service. For this purpose, receivers should detect and analyze users′ situations by estimating the tracking state. Based on the analysis of traditional receiver control systems′ drawbacks, the conception, characteristic and framework of the intelligent receiver was introduced. Furthermore, the intelligent tracking state estimator was designed and analyzed. Finally, simulation results show the new methods can effectively identify the complex and changeable scenes.

Key words: Intelligent receiver, Tracking, Adaptive neural-network fazzy inference system, Global navigation satellite system, Emulation