TY - JOUR
T1 - Acquisition performance of B1I abounding with 5G signals
AU - Shang, Peng
AU - Wang, Xue
AU - Zou, Decai
AU - Chu, Ziyue
AU - Guo, Yao
N1 - Publisher Copyright:
© 1990-2011 Beijing Institute of Aerospace Information.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - 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.
AB - 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.
KW - 5G new radio (NR)
KW - acquisition performance
KW - coexistence evaluation
KW - software defined receiver (SDR)
UR - http://www.scopus.com/inward/record.url?scp=85134178598&partnerID=8YFLogxK
U2 - 10.23919/JSEE.2022.000024
DO - 10.23919/JSEE.2022.000024
M3 - 文章
AN - SCOPUS:85134178598
SN - 1671-1793
VL - 33
SP - 563
EP - 574
JO - Journal of Systems Engineering and Electronics
JF - Journal of Systems Engineering and Electronics
IS - 3
ER -