Acquisition performance of B1I abounding with 5G signals

Abstract

The widespread 5G base stations can be potential jammers for the vulnerable BeiDou B1I receivers due to its low power. Therefore, a novel analytical model is derived for the 5G signal to evaluate its impact on acquisition performance under three decision methods. The good agreement between the Monte Carlo method (MCM) through software defined receiver (SDR) and the derived expressions validates the effectiveness of the proposed algorithm. It can be found that the receivers exhibit varied responses for different 5G waveforms and decision strategies. The receiver also shows the least endurances for some kind of 5G waveforms, however, this kind of adverse effect can be cancelled by a reduced interference signal ratio (ISR), an increased integration time or a larger accumulation times.

A Fast Acquisition Algorithm for Hybrid Signals of 5G and BeiDou B1

“…Shang et al point out that due to the high power of the 5G base station, it can become an interferer for vulnerable BeiDou B1I receivers. This adverse effect can be offset by reducing the interfering signal ratio (ISR), increasing the integration time, or increasing the accumulation time [23]. Jia et al proposed a Kalman-filter-based receiver autonomous integrity monitoring (RAIM) algorithm to ensure safe vehicle navigation in urban environments using sequential measurements from GNSS and 5G [24].…”