系统仿真学报 ›› 2015, Vol. 27 ›› Issue (5): 943-947.

• 仿真建模与仿真算法及数值仿真 • 上一篇    下一篇

一种基于FC-CE-SLM降低系统PAPR的低复杂度算法

季策, 王丽娟   

  1. 东北大学信息科学与工程学院, 沈阳 110819
  • 收稿日期:2014-05-03 修回日期:2014-09-13 出版日期:2015-05-08 发布日期:2020-09-01
  • 作者简介:季策(1969-),女,沈阳,博士,副教授,研究方向为OFDM关键技术、盲信号处理;王丽娟(1991-),女,辽宁丹东,满族,硕士生,研究方向为OFDM关键技术。
  • 基金资助:
    国家自然基金项目(11273001,61273164,61370152)

Low Complexity Method Based on FC-CE-SLM for PAPR Reduction in OFDM System

Ji Ce, Wang Lijuan   

  1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • Received:2014-05-03 Revised:2014-09-13 Online:2015-05-08 Published:2020-09-01

摘要: 通过在选择性映射算法(SLM)中引入交叉熵(CE),可以得到最优的符号序列,使SLM算法降低OFDM (Orthogonal Frequency Division Multiplexing) 系统峰均功率比的效果达到最优。在CE-SLM (Cross Entropy-Selected mapping)算法实现的过程中,需经过多次迭代运算,势必增加了算法的复杂度。拟在CE-SLM算法中引入一个快速收敛因子,使得系统中的采样概率快速收敛到0或者1的状态,降低了优化符号序列所需的迭代次数。仿真结果表明:改进算法在保持与CE-SLM算法降低PAPR (Peak-to-Average Power Ratio)效果一致的情况下,降低了得到最优符号序列所需的迭代次数,使得算法的复杂度得到有效降低。

关键词: 交叉熵, 快速收敛因子, OFDM, PAPR

Abstract: Selected mapping (SLM) algorithm uses Cross Entropy (CE) algorithm to get the most optimal sign sequence so that SLM can make the effect of PAPR Reduction achieve optimum. However, it needs too many times iterative computations, so it will increase the complexity of the algorithm. In order to solve this problem, a fast convergence factor in the CE-SLM algorithm was introduced to make the sampling probability converge to 0 or 1 quickly in the system, which reduced the iterative times of getting the optimal sign sequence. Computer simulation results show that the approved algorithm reduces the iterative times of getting the optimal sign sequence under the condition of having the same effect of reducing PAPR with the CE-SLM algorithm, eventually reducing the complexity of the algorithm effectively.

Key words: cross entropy, convergence factor, OFDM, PAPR

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