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A Novel Peak-to-Average Power Ratio Reduction Scheme via Tone Reservation in OFDM Systems

A Novel Peak-to-Average Power Ratio Reduction Scheme via Tone Reservation in OFDM Systems

作     者:Jurong Bai Yong Li Wei Cheng Huimin Du Yanben Wang 

作者机构:School of Electronics and Information Northwestern Polytechnical University School of Electronic Engineering Xi'an University of Posts and Telecommunications 

出 版 物:《China Communications》 (中国通信(英文版))

年 卷 期:2017年第14卷第11期

页      面:279-290页

核心收录:

学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0839[工学-网络空间安全] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:support by the National Natural Science Foundation of China (61401360) the Fundamental Research Funds for the Central Universities (3102017zy026) the Natural Science Basic Research Plan in Shaanxi Province of China (2016JM6017) the Scientific Research Program Funded by Shaanxi Provincial Education Department (16JK1702) 

主  题:orthogonal frequency division multiplexing peak-to-average power ratio tone reservation signal to clipping noise ratio 

摘      要:In this paper, a novel signal-to-clipping noise ratio and least squares approximation tone reservation scheme(SCR-LSA TR) is proposed to reduce the peak-to-average power ratio for orthogonal frequency division multiplexing systems. During the SCR procedure, only the element with the maximal amplitude is picked for processing, which not only decreases the algorithm complexity, but also helps to overcome the BER deterioration. With the LSA method, the amplitude of the peak-cancelling signals can approximate to that of the original clipping noise as much as possible. Through the combination of the optimization factor in the LSA method, the classic SCR method can achieve better PAPR reduction with faster convergence. Simulation results show that the proposed SCR-LSA TR scheme has less in-band distortion and smaller out-of-band spectral radiation. The BER of the proposed scheme shows a better performance especially under the 16-QAM over the additive white Gaussian noise channel.

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