复杂环境下基于压缩感知的数字化GNSS接收机关键技术研究

项目名称： 复杂环境下基于压缩感知的数字化GNSS接收机关键技术研究

项目编号： No.61302073

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 姚彦鑫

作者单位： 北京信息科技大学

项目金额： 26万元

中文摘要： 卫星导航的应用环境日益复杂，在高动态、低信噪比、多路径、复杂干扰同时存在条件下，保证接收系统可用性研究的重要性日益凸显。本课题利用压缩感知从少量观测值获得反映信号本质特征的稀疏参数，提出在复杂导航环境中利用压缩感知理论重构接收信号的方法，即通过压缩采样数据直接估计信号结构参数。本课题以压缩感知理论为基础，引入估计滤波、人工智能、软件无线电等理论，研究：1）复杂环境GNSS接收信号高效稀疏化表示理论，为信号重构奠定基础；2）滤波估计与压缩感知结合的信号估计方法，以提高信号的重构效率；3）基于智能分析的复杂干扰自适应级联抵消方法，以彻底消除干扰。4）兼顾处理稳定性与效率，对器件要求等，建立压缩感知GNSS接收体制并对关键处理技术进行仿真与实验验证。本课题为GNSS接收机向全数字化、多模式兼容、全功能型演进迈出坚实的一步。

中文关键词： 卫星导航系统；压缩感知；检测；估计；

英文摘要： The GNSS application environment is more and more complex. Under the high dynamic, low signal-to-noise ratio, multipath and complex interference coexist condition， the importance of the usability insurance of GNSS receiver is more obvious. The project utilizes compressive sensing to obtain the precise parameters that reflects the fundamental characteristics from little measurement, and proposes a method for reconstructing received signal utilizing compressive sensing theory. It could estimate the signal structural parameters from the compressed sampling data to obtain the critical navigation information such as carrier and code phases. The project, with the compressive sensing theory as the basis, studies the content as follows by introducing the estimation, filtering, artificial intelligence and software defined radio theories:1)the sparse representation theory for the GNSS receives signal under complex environment, 2)the estimation method combing the compressive sensing theory and filtering estimation theory to elevate the efficiency of parameter estimation, 3) the adaptive cascaded Interference cancellation method based on intelligent analysis, to eliminate interference thoroughly, 4) Giving consideration to processing efficiency、stability and the requirements to electric components, building the receiver str

英文关键词： Global Navigation Satellite System；Compressed Sensing；detection；estimation；