Comparison of PAPR Reduction Using ABC-FF Algorithm and OGWO in MIMO-OFDM

K.Aruna Kumari, K.Sri Rama Krishna
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Abstract

In the transmitted signal, the high peak-to-average power ratio (PAPR) is the real disadvantage of multiple input, multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Among different PAPR reduction techniques, selected mapping (SLM) is a famous strategy that accomplishes good PAPR reduction performance without signal distortion. Likewise, Partial transmit sequence (PTS) is additionally solitary of the successful techniques to decrease the PAPR in OFDM. Though, result an optimal segment issue in PTS system is measured to exist a critical concern. To progress the existing PAPR reduction techniques, we have incorporated ideal SLM and PTS based PAPR reduction strategy in parallel. By utilizing, the OGWO algorithm; the transmit succession was chosen with least PAPR above all communication antennas. The proposed PAPR reduction approach is applied independently on each transmitted antenna, and so the PAPR can be extremely reduced. Moreover, the OGWO optimization based PAPR reduction technique will provide better performance and it was been promoted as an uncomplicated way for PAPR reduction. The proposed approach will be analyzed with ABC-FF Algorithm PAPR reduction scheme to show the effectiveness
MIMO-OFDM中ABC-FF算法与OGWO算法降低PAPR的比较
在传输信号中,高峰值平均功率比(PAPR)是多输入多输出(MIMO)正交频分复用(OFDM)系统的真正缺点。在不同的PAPR降噪技术中,选择映射(SLM)是一种著名的策略,可以在不产生信号失真的情况下实现良好的PAPR降噪性能。同样,部分传输序列(PTS)也是降低ofdm中PAPR的成功技术之一。结果表明,PTS系统中的最优段问题是一个亟待解决的问题。为了改进现有的PAPR降低技术,我们将理想的SLM和基于PTS的PAPR降低策略并行结合。利用OGWO算法;在所有通信天线中选择PAPR最小的发射序列。所提出的减小PAPR方法分别作用于每个发射天线,因此可以极大地减小PAPR。此外,基于OGWO优化的PAPR还原技术将提供更好的性能,并被推广为一种简单的PAPR还原方法。将该方法与ABC-FF算法的PAPR约简方案进行对比分析,验证其有效性
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