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BDS B1I multipath channel statistical model comparison between static and dynamic scenarios in dense urban canyon environment
Satellite Navigation ( IF 11.2 ) Pub Date : 2020-10-26 , DOI: 10.1186/s43020-020-00027-7
Xin Chen , Di He , Ling Pei

Global Navigation Satellite System (GNSS) multipath channel models are fundamental and critical for signal simulation and receiver performance evaluation. They also aid the designing of suitable multipath error mitigation algorithms when the properties of multipath channel are available. However, there is insufficient existing research on BeiDou Navigation Satellite System (BDS) signal multipath channel models. In this study, multipath channel statistical models are established on the basis of extensive datasets of the BDS B1I signal. A multipath parameter estimation algorithm is designed to extract information of multipath rays from the intermediate frequency data. The delay, power loss, Doppler fading frequency, and lifetime distribution models for static and dynamic vehicle platforms are established and compared, and the effects of the satellite orbit type and platform speed on the models are analyzed. The results reveal the detailed distribution and variation characteristics of the multipath parameters and are valuable for the development of accurate urban navigation systems.

中文翻译:

稠密城市峡谷环境中静态和动态场景之间的BDS B1I多路径信道统计模型比较

全球导航卫星系统(GNSS)多径信道模型对于信号仿真和接收机性能评估至关重要。当多径通道的属性可用时,它们还有助于设计合适的多径错误缓解算法。然而,关于北斗导航卫星系统(BDS)信号多径信道模型的现有研究不足。在这项研究中,在BDS B1I信号的广泛数据集的基础上建立了多径信道统计模型。设计了一种多径参数估计算法,以从中频数据中提取多径射线的信息。建立并比较了静态和动态车辆平台的延迟,功率损耗,多普勒衰落频率和寿命分布模型,并分析了卫星轨道类型和平台速度对模型的影响。结果揭示了多径参数的详细分布和变化特征,对于开发精确的城市导航系统具有重要的参考价值。
更新日期:2020-10-27
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