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Reducing the peak to average power ratio of MIMO-OFDM using particle swarm optimization based PTS.

机译:使用基于粒子群优化的PTS降低MIMO-OFDM的峰均功率比。

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摘要

In this thesis we proposed PSO based PTS to accomplish the lowest Peak-to-Average Power Ratio of MIMO-OFDM system. We applied the PSO based PTS on each antenna of the system in order to find the optimal phase factors which is a straightforward method to get the minimum PAPR in such a system. The performance of PSO based PTS algorithm in MIMO-OFDM with a wide range of phase factor tends to give a high performance according to the simulation results. In addition, there is no need to increase the number of particles of the PSO algorithm to enhance the performance of the system, which keeps the complexity of finding the minimum PAPR reasonable.
机译:在本文中,我们提出了基于PSO的PTS,以实现MIMO-OFDM系统的最低峰均功率比。我们在系统的每个天线上应用了基于PSO的PTS,以找到最佳相位因子,这是在此类系统中获得最小PAPR的直接方法。根据仿真结果,在具有宽相位因子的MIMO-OFDM中,基于PSO的PTS算法的性能趋于提供高性能。另外,不需要增加PSO算法的粒子数量来增强系统性能,这使得寻找最小PAPR的复杂性保持合理。

著录项

  • 作者

    Mazin, Asim M.;

  • 作者单位

    Southern Illinois University at Carbondale.;

  • 授予单位 Southern Illinois University at Carbondale.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2013
  • 页码 59 p.
  • 总页数 59
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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