首页 | 本学科首页   官方微博 | 高级检索  
     

改进的GA-PTS降低OFDM峰均比
引用本文:杨霖,张帅,王小波,贾莹莹,田浩,李少谦. 改进的GA-PTS降低OFDM峰均比[J]. 电子科技大学学报(自然科学版), 2013, 42(3): 338-343. DOI: 10.3969/j.issn.1001-0548.2013.03.004
作者姓名:杨霖  张帅  王小波  贾莹莹  田浩  李少谦
作者单位:1.电子科技大学通信抗干扰技术国家级重点实验室 成都 611731
基金项目:国家自然科学基金,高等学校博士学科点专项科研基金,中央高校基本科研基金
摘    要:提出了一种使用相位因子优选对方法改进GA-PTS以降低OFDM的PAPR的算法。改进算法根据具有低PAPR值的不同PTS子块求和有更大的概率获得具有低PAPR值的传输信号,将GA-PTS中基因交叉步骤变为选择相位因子优选对,达到进一步提高GA-PTS降低系统PAPR的目的。仿真结果验证了该算法可以获得低于传统GA-PTS算法0.2 dB左右的PAPR性能。

关 键 词:遗传算法   正交频分复用   部分传输序列   峰值平均功率比   相位因子优选对
收稿时间:2011-08-22

Improved GA-PTS Method for Reducing PAPR of OFDM
YANG Lin , ZHANG Shuai , WANG Xiao-bo , JIA Ying-ying , TIAN Hao , LI Shao-qian. Improved GA-PTS Method for Reducing PAPR of OFDM[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(3): 338-343. DOI: 10.3969/j.issn.1001-0548.2013.03.004
Authors:YANG Lin    ZHANG Shuai    WANG Xiao-bo    JIA Ying-ying    TIAN Hao    LI Shao-qian
Affiliation:1.National Key Laboratory of Science and Technology on Communications,University of Electronic Science and Technology of China Chengdu 611731
Abstract:A novel method called phase factor optimal pair (PFOP) is proposed to improve in genetic algorithm with partial transmitter sequence (GA-PTS). The key of PTS algorithm is to choice the phase factors. GA-PTS uses phase factors as genes to take selection, crossover and mutation. The improved method is based on the principle that the sum of several low PAPR PTS sequences has a bigger probability to obtain the OFDM signals with low PAPR. In the improved GA-PTS, the cross step is changed into the step of selecting phase factor optimal pair. The simulation results show that this improved method has 0.2dB of the PAPR lower than ordinary GA-PTS algorithm.
Keywords:genetic algorithm (GA)  orthogonal frequency division multiplexin (OFDM)  partial transmitter sequence (PTS)  peak-to-average power ratio (PAPR)  phase factor optimal pair
本文献已被 万方数据 等数据库收录!
点击此处可从《电子科技大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《电子科技大学学报(自然科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号