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More Accurate Model for GNSS Radio Frequency Compatibility Assessment

机译:更准确的GNSS射频兼容性评估模型

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The past and more simplistic assessment of intersystem interference among GPS, Galileo and BDS resulted in pessimistic results, and in some cases, erroneous results. This paper presents more refined methodologies under more realistic conditions, considering the multipath propagation effect of the interesting signal and interference. The superimposed multipath signals not only lead to the distortion of the correlation function between the received signal and the local reference signal, but also reducing or increasing the power of received signal. Thereby multipath effect would cause estimation errors of the C/N_0 and code tracking accuracy, causing the assessment deviation of radio frequency compatibility (RFC). Therefore, in order to further enhance the accuracy of assessment, multipath effect would not be ignored. This study is to estimate the contribution of multipath effect to RFC assessment, aims to provide more realistic and exact interference calculation and assessment results. Firstly, the equation of effective carrier power of multipath interesting signal and the equation of equivalent noise PSD under multipath effects after correlation are derived by introducing matched filtering receiving. Therefore, the more accurate analytic expression of effective carrier power-to-noise density ratio ((C/N_0)_(eff)) is presented Then, the intersystem and intrasystem interference is computed for signals where GPS, Galileo and BDS systems are sharing in L1 band, considering the geometry-dependent and time-varying terms such as space constellation, signal modulation, emission power level, space loss, satellite antenna gain and user receiver characteristic. Comparing with the traditional expression of (C/N_0)_(eff), our new method considers the Cross-Power Spectra Density, the Doppler frequency effect, and the power variations which caused by multipath effect. And the analysis results show that multipath interference has a great influence on intrasystem interference, and has a small influence on intersystem interference.
机译:其中GPS,伽利略和BDS系统间干扰的过去和更简单的评估的结果是悲观的结果,在某些情况下,错误的结果。本文呈现更精致的方法更现实的条件下,考虑到有趣的信号和干扰的多径传播效应。叠加的多径信号不仅导致所接收的信号和本地基准信号之间的相关函数的失真,也减少或增加接收信号的功率。从而多径效应将导致C / N_0和代码跟踪精度的估计误差,引起射频兼容性(RFC)的评估偏差。因此,为了进一步提高评估的准确性,多径效应将不容忽视。这项研究是估计的多径效应RFC评估的贡献,旨在提供更逼真和精确的干扰计算和评估结果。首先,多径信号有趣的有效载波功率和下相关后的多径效应等效噪声PSD的方程的方程通过引入匹配滤波接收的。因此,有效的载波功率与噪声密度比的更准确的解析表达式((C / N_0)_(EFF))随后呈现,系统间和系统内干扰被计算为,其中GPS,伽利略和BDS系统共享信号在L1频带,考虑到几何依赖性和随时间变化的诸如空间星座,信号调制,发射功率电平,空间损耗,卫星天线增益和用户接收机特性。与(C / N_0)_(EFF)的传统的表达相比,我们的新方法考虑了交叉功率谱密度,多普勒频率的影响,并且其引起的多径效应的功率的变化。而分析结果表明,多径干扰对系统内干扰的影响很大,而对系统间干扰的影响较小。

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