A Low-Complexity PTS Based on Greedy and Genetic Algorithm for OFDM Systems

被引：0

作者：

LUO Renze ^{[1
]}

ZHANG Chengsen ^{[2
]}

NIU Na ^{[1
]}

LI Rui ^{[1
]}

机构：

[1] State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University

[2] University of Electronic Science and Technology of China

来源：

Chinese Journal of Electronics | 2015年 / 24卷 / 04期

基金：

中国国家自然科学基金;

关键词：

PTS; PAPR reduction; OFDM; Suboptimal rotating vectors;

D O I：

暂无

中图分类号：

TN929.53 [蜂窝式移动通信系统（大哥大、移动电话手机）];

学科分类号：

080402 ; 080904 ; 0810 ; 081001 ;

摘要：

Partial transmit sequence(PTS) is one of effective technique to reduce high Peak-to-average power ratio(PAPR) in Orthogonal frequency division multiplexing(OFDM) system. However, the complexity of Original PTS(O-PTS) increases exponentially with the number of sub-blocks. To reduce the computational complexity while still offering a lower PAPR, a new PTS method is proposed to search for suboptimal rotating vectors in this paper. In the proposed method, the candidate rotation vectors are generated based on greedy and genetic algorithm.We also combine the proposed method and the superimposed training sequence method to get a further PAPR reduction. The theory and simulations results show that the proposed method can achieve better PAPR reduction and significantly reduce the computational complexity.

引用

页码：857 / 861

页数：5

共 14 条

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