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新一代GNSS接收机的智能跟踪状态评估技术
引用本文:金力,陆明泉,冯振明.新一代GNSS接收机的智能跟踪状态评估技术[J].中国空间科学技术,2011,31(4):38-47.
作者姓名:金力  陆明泉  冯振明
作者单位:(清华大学,北京 100084)
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  
收稿时间:2011-03-18

Intelligent Tracking State Estimation Technology for New Generation GNSS Receivers
Jin Li,Lu Mingquan,Feng Zhenming.Intelligent Tracking State Estimation Technology for New Generation GNSS Receivers[J].Chinese Space Science and Technology,2011,31(4):38-47.
Authors:Jin Li  Lu Mingquan  Feng Zhenming
Institution:(Tsinghua University, Beijing 100084)
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.
Keywords:Intelligent receiver Tracking Adaptive neural-network fazzy inference system Global navigation satellite system Emulation  
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