Intelligent vectorised architecture for performance enhancement of GNSS receivers in signal blocking situations

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.