TY - GEN
T1 - Robust Timing Synchronization Algorithm for 5G New Radio
AU - Lee, Yu
AU - Kao, Tzu Chieh
AU - Huang, Zhen Ming
AU - Lin, Hsuan Po
AU - Wu, Chun Ta
AU - Chen, Chao Yu
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the Ministry of Science and Technology, Taiwan, R.O.C., under Grants MOST 109–2628– E–006–008–MY3 and MOST 111–2218–E–305–002. This research was, in part, supported by the Wistron NeWeb Corporation (WNC) under the joint project “Development of 5G NR Baseband and TSN Algorithms.” The authors sincerely thank to Dr. Gene C.H. Chuang and colleagues from WNC for their fruitful discussions.
Funding Information:
*This work was supported by the Ministry of Science and Technology, Taiwan, R.O.C., under Grants MOST 109–2628–E–006–008–MY3 and MOST 111–2218–E–305–002. This research was, in part, supported by the joint Wistron NeWeb Corporation (WNC) under the project “Development of 5G NR Baseband and TSN Algorithms.”
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we first introduce the 5G new radio (NR) frame structure and synchronization signals. In the literature, there are some conventional synchronization algorithms including the autocorrelation algorithm and the cross-correlation algorithm. Although the cross-correlation algorithm outperforms the autocorrelation algorithm, the performance of the cross-correlation algorithm is significantly affected by the carrier frequency offset (CFO). In this paper, we propose a novel algorithm that is robust to the CFO and has better performance than the autocorrelation algorithm. The simulation results demonstrate that the proposed algorithm performs well when CFO is introduced.
AB - In this paper, we first introduce the 5G new radio (NR) frame structure and synchronization signals. In the literature, there are some conventional synchronization algorithms including the autocorrelation algorithm and the cross-correlation algorithm. Although the cross-correlation algorithm outperforms the autocorrelation algorithm, the performance of the cross-correlation algorithm is significantly affected by the carrier frequency offset (CFO). In this paper, we propose a novel algorithm that is robust to the CFO and has better performance than the autocorrelation algorithm. The simulation results demonstrate that the proposed algorithm performs well when CFO is introduced.
UR - http://www.scopus.com/inward/record.url?scp=85164153833&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85164153833&partnerID=8YFLogxK
U2 - 10.1109/WF-IoT54382.2022.10152288
DO - 10.1109/WF-IoT54382.2022.10152288
M3 - Conference contribution
AN - SCOPUS:85164153833
T3 - 2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022
BT - 2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE World Forum on Internet of Things, WF-IoT 2022
Y2 - 26 October 2022 through 11 November 2022
ER -