The former Galileo Commercial Service (CS) will provide a High Accuracy Service (HAS) and a Commercial Authentication Service (CAS). The first will disseminate free Precise Point Positioning (PPP) corrections through the E6‐B signal whereas the second will provide authentication capabilities through the E6‐C pilot component that will be encrypted. For this reason, improved processing strategies for data‐only processing need to be investigated. The combined use of Kalman filtering and noncoherent integrations is analyzed in this work. A Software Defined Radio (SDR) receiver has been developed and used for the analysis. Different scenarios were considered including simulated data with decreasing Carrier‐to‐Noise Power Spectral Density Ratio (C/N0) levels and live static and dynamic data collected under harsh environments. It emerges that the use of Kalman filtering with extended noncoherent integrations is an effective approach to improve the performance of data‐only processing.

中文翻译：

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具有非相干积分的Kalman滤波用于Galileo E6-B跟踪

前伽利略商业服务（CS）将提供高精度服务（HAS）和商业认证服务（CAS）。第一个将通过E6-B信号发布免费的精确点定位（PPP）校正，而第二个将通过将被加密的E6-C导频组件提供认证功能。因此，需要研究针对纯数据处理的改进处理策略。这项工作分析了卡尔曼滤波和非相干积分的结合使用。已经开发了软件无线电（SDR）接收机并将其用于分析。考虑了不同的情况，包括载波噪声功率谱密度比（C / N0）水平降低的模拟数据以及在恶劣环境下收集的实时静态和动态数据。