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Research and GPU Parallel Implementation of the Compatibility Analysis Methodology Between FDMA and CDMA Navigation Signals

机译:FDMA和CDMA导航信号之间兼容性分析方法的研究和GPU并行实现

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Many major countries are actively developing their own Global Navigation Satellite Systems (GNSSs) and the compatibility between GNSS signals has become a focus of research. The methodology provided by Recommendation ITU-R M.1831 only applies to interference analysis between CDMA navigation signals and currently there are no compatibility analysis methods applied to FDMA navigation signals. Based on the ITU Recommendation, we propose a new concept named Frequency Division Spectral Separation Coefficient (FD-SSC) for FDMA signals. Furthermore, a compatibility analysis methodology between FDMA signals and between FDMA and CDMA signals is presented based on FD-SSC. Besides, we propose a GPU parallel computing implementation scheme for large scale compute-intensive link calculations in order to improve the computation efficiency. Experimental results show that GPU parallel computing implementation shortens the computation time by more than 20% compared with traditional serial computing implementation. Finally, an application example of the proposed methodology for compatibility analysis between BDS and GLONASS in the B2/L3 band is demonstrated.
机译:许多主要国家正在积极开发自己的全球导航卫星系统(GNSSS),而GNSS信号之间的兼容性已成为研究的焦点。由ITU-R M.1831推荐提供的方法仅适用于CDMA导航信号之间的干扰分析,并且当前没有应用于FDMA导航信号的兼容性分析方法。基于ITU推荐,我们提出了一种新的概念,命名为FDMA信号的命名频分光谱分离系数(FD-SSC)。此外,基于FD-SSC呈现FDMA信号与FDMA和CDMA信号之间的兼容性分析方法。此外,我们提出了一种用于大规模计算密集链路计算的GPU并行计算实施方案,以提高计算效率。实验结果表明,与传统的串行计算实施相比,GPU并联计算实施将计算时间缩短20%以上。最后,对B2 / L3带中的BDS和Glonass之间的兼容性分析方法的应用示例进行了说明。

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