空间信号非理想特性及其对导航性能的影响研究

项目名称： 空间信号非理想特性及其对导航性能的影响研究

项目编号： No.61271197

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 寇艳红

作者单位： 北京航空航天大学

项目金额： 76万元

中文摘要： 高精度和高完好性的GNSS应用对卫星播发的空间信号性能提出了要求。标称空间信号的失真影响信号的接收性能和对信道的适应能力，而卫星信号生成链路故障引起的有害波形则对航空导航等服务构成威胁。现有关于空间信号非理想特性及其对导航性能影响的研究中，广获应用的ICAO 2OS EWF模型并不适用于标称信号失真，也不能阐明新体制信号的畸变机理；其他模型和有关指标也尚存争议。本项目将针对新信号体制下导航应用的特点，对卫星信号生成链路主要组件的非理想性及其引起的信号失真进行精确建模和深入分析，辅以集成化端到端仿真和试验验证，提出适用于新体制信号的失真模型，建立清晰完整的空间信号质量指标体系，揭示空间信号失真对信号导航性能的影响机制，研究空间信号质量监测评估方法，并探索高效的星上预失真方法，从而为导航信号体制和有效载荷信号生成链路的优化设计及其质量指标的确立提供理论基础、方法支撑和和试验参考。

中文关键词： 卫星导航；导航信号体制；空间信号失真；信号质量监测；预失真

英文摘要： GNSS Signal-in-space (SIS) performance is key to positioning accuracy and integrity. The nominal SIS signal deformations impact the receiving performance and channel applicability of the signal, whereas the evil waveform (EWF) induced by the satellite signal generation hardware failure poses a threat to the Safety-of-life (SOL) service for air navigation. Among previous studies about SIS non-idealities and their impacts on navigation performance, the well-established ICAO 2OS EWF threat model cannot fit into nominal signal deformations, nor can it characterize the signal deformation for new signal structures effectively. There is also some argument about other related models and performance indexes. Considering the characteristics of navigation applications with new signal structures, this project will accurately model and analyze the non-idealities of main components in the payload signal generation link and the corresponding signal distortions, aided by the integrated end-to-end simulation and experimental validation. The signal distortion model applicable to new signal structures will be proposed. Next, the index system for SIS signal quality evaluation will be elaborated clearly. Then the impacts of SIS signal distortions on signal performance will be revealed analytically. In addition, the SIS signal qualit

英文关键词： satellite navigation；navigation signal structure；signal in space (SIS) distortion；signal quality monitoring；predistortion