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Intelligent vectorised architecture for performance enhancement of GNSS receivers in signal blocking situations
Survey Review ( IF 1.6 ) Pub Date : 2020-11-23 , DOI: 10.1080/00396265.2020.1845008
A. Tabatabaei 1 , Z. Koohi 2 , M. R. Mosavi 2 , Z. Tabatabaei 3
Affiliation  

Navigation in harsh environments mostly encounters many problems such as signal blocking due to a variety of obstacles around the receiver. Vectorised receiver has an architecture in which the channels can share the information. As a result, the strong channels aid the blocked one to reacquire the signal immediately after returning. However, if the output of a channel is undesirable, it may disrupt the operation of the system especially for the weak blocked channels. In this paper, an intelligent vectorised architecture is proposed to solve this problem. Three popular architectures including federated, adaptive, and vectorised are combined and then evidence theory is utilised to select the result with higher certainty. The experimental results in urban canyons show the improvements in signal availability and thermal noise performance.



中文翻译:

用于在信号阻塞情况下增强 GNSS 接收器性能的智能矢量化架构

恶劣环境下的导航,大多会因为接收机周围的各种障碍物而遇到信号阻塞等诸多问题。矢量化接收器具有一种信道可以共享信息的架构。结果,强信道帮助被阻塞的信道在返回后立即重新获取信号。然而,如果一个通道的输出是不受欢迎的,它可能会破坏系统的运行,特别是对于弱阻塞通道。在本文中,提出了一种智能矢量化架构来解决这个问题。将联合、自适应和向量化三种流行的架构结合起来,然后利用证据理论来选择具有更高确定性的结果。在城市峡谷中的实验结果显示了信号可用性和热噪声性能的改进。

更新日期:2020-11-23
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