A high-SNR GNSS receiver architecture for robust positioning in intelligent transportation and autonomous driving environments

Abstract

Global Navigation Satellite Systems (GNSS) are widely used in intelligent transportation systems (ITS) and autonomous driving. However, in urban canyons and tunnels, multipath, blockage, and interference reduce SNR and degrade positioning accuracy. This paper proposes a high-SNR GNSS receiver architecture based on RF front-end optimization. The design integrates a low-noise amplifier (LNA), a high-linearity mixer, and an adaptive automatic gain control (AGC) mechanism within a jointly optimized RF front-end architecture, aiming to improve signal quality at the receiver input under weak-signal conditions. Experimental results show an SNR improvement of approximately 6 dB compared with a conventional receiver, along with improved positioning accuracy under both open-sky and weak-signal conditions.