![](/images/graphics-bg.png)
Phase Noise Suppression Algorithm Based on Modified LLR Metric in SC-FDMA System
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-09
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Abstract EN
In single-carrier frequency-division multiple-access (SC-FDMA) receivers in the long-term evolution uplink, phase noise is one of the major radio-frequency front-end impairments that degrade system performance.
To address this issue, we propose a new log-likelihood ratio (LLR) computation algorithm.
A signal model with residual phase noise is considered in the algorithm.
Based on this model, we derive a closed-form expression of the likelihood function of the received symbol and calculate more accurate LLR information.
Thus the accuracy of the decoder is increased and the performance of the SC-FDMA system is improved.
Simulation results show that our proposed algorithm achieves superior bit error rate (BER) performance compared with the existing LLR calculation algorithms in high-order quadrature amplitude modulations (QAM).
American Psychological Association (APA)
Xu, Zijie& Ren, Guangliang. 2017. Phase Noise Suppression Algorithm Based on Modified LLR Metric in SC-FDMA System. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1175452
Modern Language Association (MLA)
Xu, Zijie& Ren, Guangliang. Phase Noise Suppression Algorithm Based on Modified LLR Metric in SC-FDMA System. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-5.
https://search.emarefa.net/detail/BIM-1175452
American Medical Association (AMA)
Xu, Zijie& Ren, Guangliang. Phase Noise Suppression Algorithm Based on Modified LLR Metric in SC-FDMA System. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1175452
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175452