基于遗传模糊算法的MIMO-OFDM系统次优部分发射序列降低峰均功率比方案

Zainab Abdulameer Hassan, Alaa A. Hasan
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引用次数: 2

摘要

正交频分复用(OFDM)技术的主要问题是其发射序列的峰值平均功率比(PAPR)的提高,因为信号峰值过大导致放大器的功率效率低下。本文提出了一种基于模糊逻辑和遗传算法两种智能技术的新组合,并提出了一种流行的约简技术,即部分发射序列(PTS),以降低多输入多输出OFDM (MIMO-OFDM)系统在瑞利衰落信道上出现高PAPR的概率。PTS方案用于空时分组编码(STBC)模型,其中指定的传输信号具有最低的PAPR。在不增加计算量的情况下,数值结果验证了本文算法与一些已发表的研究相比的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic-fuzzy algorithm based suboptimum partial transmit sequences scheme for peak-to-average power ratio reduction in MIMO-OFDM systems
Increased peak-to-average power ratio (PAPR) of its transmit sequence represents the main problem of the orthogonal frequency division multiplexing (OFDM) technology, as large signal peaks lead to power inefficiency of the amplifiers. In this study, a new combination based on the use of two intelligent techniques: fuzzy logic as well as genetic algorithm (GA) with the proposition of a popular reduction technique, partial transmit sequences (PTS) is presented here to decrease the probability of high PAPR appearance in multiple input-multiple output OFDM (MIMO-OFDM) system over Rayleigh fading channel. The PTS scheme is utilized in a space time block coding (STBC) model where the nominated signal for transmission has lowest PAPR. Without increasing computation, numerical results verify the competition of the presented algorithm as compared to some published studies.
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