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

来源 :Chinese Journal of Electronics | 被引量 : 0次 | 上传用户:naonao7949
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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. 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. 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. 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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