Exhaustive entropy based SLM method for PAPR reduction of OFDM system  被引量:1

Exhaustive entropy based SLM method for PAPR reduction of OFDM system

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作  者:宁磊 王振永 潘晶 杨明川 郭庆 

机构地区:[1]Communication Research Center,Harbin Institute of Technology [2]Key Laboratory of Electronic Engineering College,Heilongjiang University

出  处:《Journal of Harbin Institute of Technology(New Series)》2012年第2期91-97,共7页哈尔滨工业大学学报(英文版)

基  金:Sponsored by the National Natural Science Foundation of China (Grant No. 61101126);the Postdoctoral Science Foundation of China (Grant No.2011M500664)

摘  要:Orthogonal frequency division multiplexing(OFDM) is an attractive technology to provide immense improvement in wireless transmission capacity but high peak-to-average power ratio(PAPR) is a major drawback of OFDM system.Selected mapping(SLM) scheme has good performance for PAPR reduction.It requires the transmitting data to be multiplied by random phase sequences.However,the sequences are pseudo-random which will decrease the method effectiveness.Exhaustive entropy is introduced in this paper which can identify the strength of random phase sequences property.Then an exhaustive entropy based on SLM method is proposed.The scheme improves the effectiveness of random phase sequences by selecting the larger exhaustive entropy of them.The simulation results show that the PAPR reduction performance is better than that of conventional SLM through this method.Orthogonal frequency division multiplexing (OFDM) is an attractive technology to provide immense improvement in wireless transmission capacity but high peak-to-average power ratio (PAPR) is a major draw- back of OFDM system. Selected mapping (SLM) scheme has good performance for PAPR reduction. It requires the transmitting data to be multiplied by random phase sequences. However, the sequences are pseudo-random which will decrease the method effectiveness. Exhaustive entropy is introduced in this paper which can identify the strength of random phase sequences property. Then an exhaustive entropy based on SLM method is pro- posed. The scheme improves the effectiveness of random phase sequences by selecting the larger exhaustive en- tropy of them. The simulation results show that the PAPR reduction performance is better than that of conven- tional SLM through this method.

关 键 词:exhaustive entropy orthogonal frequency division multiplexing(OFDM) peak-to-average power ratio(PAPR) selected mapping(SLM) 

分 类 号:TN911[电子电信—通信与信息系统]

 

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