BDS-5G Hybrid Positioning Based on Signal Quality Assessment and Adaptive Switchover Strategy based on Measurement Uncertainty Evaluation

Accurate positioning plays a vital role in enabling innovative applications in intelligent transportation systems. The number of positioning signal sources and signal strength fluctuate with time during the driving process of the vehicle in line of sight (LOS) conditions will result in low positioning accuracy or even fail to position. In this paper, we first introduce the Bei Dou Navigation Satellite System (BDS)-5G receiver framework as well as the measurement model, which is an attractive issue in recent years. To evaluate the quality of BDS-5G positioning signals, measurement uncertainty comprehensive evaluation switchover algorithm is developed. We propose the BDS-5G joint positioning signal quality assessment model and derive the indicator to determine whether to switch to another positioning mode. Finally, we show the superiority of the proposed BDS-5G hybrid vehicle positioning system by conducting a series of field experiments, which demonstrate that the proposed method can improve the vehicle positioning accuracy by 19% in complex environment.