PAPR Reduction with Low Computational Complexity for OFDM Systems

被引：3

作者：

Gao, Jing ^{[1
]}

Wang, Jinkuan ^{[2
]}

Song, Xin ^{[2
]}

Wang, Bin ^{[2
]}

机构：

[1] Northeastern Univ, Automat Engn Dept, Qinhuangdao, Peoples R China

[2] NE Univ, Sch Informat Sci & Technol, Shenyang, Peoples R China

来源：

2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012) | 2012年 / 33卷

基金：

中国国家自然科学基金;

关键词：

PAPR; OFDM; PTS; Optimization; AVERAGE POWER RATIO; PTS; SIGNAL;

D O I：

10.1016/j.phpro.2012.05.229

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 ;

摘要：

The partial transmit sequence (PTS) technique has received much attention in reducing the high peak to average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals, but its exhaustive search of phase factors causes high computational complexity. To solve this problem, a novel method based on optimization algorithm is proposed to reduce the complexity by searching the weighting factors suboptimally. The simulation results show that the proposed algorithm can not only reduces the PAPR significantly, but also decreases the computational complexity. (C) 2012 Published by Elsevier B.V. Selection and/or peer-review under responsibility of ICMPBE International Committee.

引用

页码：1401 / 1407

页数：7

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