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An analytical model of code-tracking performance for next-generation GNSS modulations

机译:下一代GNSS调制的代码跟踪性能分析模型

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References(7) Precorrelation bandlimiting, sampling, and quantization (BSQ) are three fundamental functions of receivers for global navigation satellite system (GNSS) signal processing. Analytical models have been developed to evaluate the implementation losses due to different combinations of these parameters for legacy modulations such as BPSK. However, the performance metric was losses of effective carrier-to-noise ratio in dB, instead of performance degradation of a delay-locked loop (DLL) used for code-tracking. This paper proposes an analytical model to predict the DLL performance with the loss of RMS tracking error in meters as the performance metrics. The signal model & assumptions and canonical form of DLL are first introduced. Then, analytical model is derived for DLL tracking accuracy and the performance metrics, tracking loss is defined. Finally, simulation results of two next-generation modulations for GPS and Galileo, namely CBOC and TMBOC, are presented.
机译:参考文献(7)预相关带宽限制,采样和量化(BSQ)是全球导航卫星系统(GNSS)信号处理接收机的三个基本功能。已经开发了分析模型,以评估由于传统调制(例如BPSK)这些参数的不同组合而导致的实现损失。但是,性能指标是有效载波噪声比(以dB为单位)的损失,而不是用于代码跟踪的延迟锁定环(DLL)的性能下降。本文提出了一种分析模型来预测DLL性能,并以米的RMS跟踪误差的损失作为性能指标。首先介绍了DLL的信号模型,假设和规范形式。然后,针对DLL跟踪精度和性能指标导出分析模型,定义跟踪损耗。最后,给出了GPS和Galileo的两种下一代调制的仿真结果,即CBOC和TMBOC。

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