XU Zijie, REN Guangliang, ZHANG Yang. Phase Noise Pre-correction Scheme for SC-FDMA Signals in LTE-Uplink[J]. Chinese Journal of Electronics, 2017, 26(3): 634-639. doi: 10.1049/cje.2017.03.005
Citation: XU Zijie, REN Guangliang, ZHANG Yang. Phase Noise Pre-correction Scheme for SC-FDMA Signals in LTE-Uplink[J]. Chinese Journal of Electronics, 2017, 26(3): 634-639. doi: 10.1049/cje.2017.03.005

Phase Noise Pre-correction Scheme for SC-FDMA Signals in LTE-Uplink

doi: 10.1049/cje.2017.03.005
Funds:  This work is supported by the National Natural Science Foundation of China (No.91538105, No.61401321), the National Basic Research Program of China (973 Program) (No.2014CB340206), the Natural Science Basic Research Plan in Shaanxi Province (No.2015JQ6259), the Open Project of the State Key Laboratory of Integrated Service Networks (No.ISN16-01), and the Open Research Fund of National Mobile Communications Research Laboratory (No.2015D01).
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  • Corresponding author: REN Guangliang (corresponding author) was born in Jiangsu, China, in 1971. He received the B.S. degree in communication engineering from Xidian University, Xian, China, in 1993, the M.S. degree in signal processing from the Academy of China Ordnance, Beijing, China, in 1996, and the Ph.D. degree in communication and information systems from Xidian University, in 2006. (Email:glren@mail.xidian.edu.cn)
  • Received Date: 2016-10-12
  • Rev Recd Date: 2016-12-21
  • Publish Date: 2017-05-10
  • This paper proposes a novel carrier Phase noise (PN) pre-correction scheme with an adaptive PN prediction algorithm for Single-carrier Frequency-division multiple-access (SC-FDMA) systems to alleviate degradation due to the PN. Our proposed PN prediction algorithm is a modified polynomial fitting algorithm which is based on receding horizon principle. The parameters of the prediction model are optimized by using the algorithm on PN samples of the local oscillator signal in a training window. By using the optimized prediction model parameters and the latest PN samples, we can predict future PN samples. Then these predicted PN samples are put into our proposed PN pre-correction scheme and the SC-FDMA symbols at the transmitter are pre-compensated. Due to the absence of the radio frequency delay device, the proposed scheme has a low hardware complexity. Simulation results show that our proposed scheme can greatly reduce the effect of the PN on the transmitted SC-FDMA signal.
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