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A PAPR Reduction Method Based on Artificial Bee Colony Algorithm for OFDM Signals

机译:基于人工蜂群算法的OFDM信号PAPR降低方法

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摘要

One of the major drawbacks of orthogonal frequency division multiplexing (OFDM) signals is the high peak to average power ratio (PAPR) of the transmitted signal. Many PAPR reduction techniques have been proposed in the literature, among which, partial transmit sequence (PTS) technique has been taken considerable investigation. However, PTS technique requires an exhaustive search over all combinations of allowed phase factors, whose complexity increases exponentially with the number of sub-blocks. In this paper, a newly suboptimal method based on modified artificial bee colony (ABC-PTS) algorithm is proposed to search the better combination of phase factors. The ABC-PTS algorithm can significantly reduce the computational complexity for larger PTS subblocks and offers lower PAPR at the same time. Simulation results show that the ABC-PTS algorithm is an efficient method to achieve significant PAPR reduction.
机译:正交频分复用(OFDM)信号的主要缺点之一是发射信号的峰值平均功率比(PAPR)高。文献中已经提出了许多降低PAPR的技术,其中部分传输序列(PTS)技术已得到了广泛的研究。然而,PTS技术需要在允许的相位因子的所有组合上进行详尽搜索,其复杂度随着子块的数量呈指数增加。本文提出了一种基于改进的人工蜂群算法(ABC-PTS)的次优方法,以寻找更好的相位因子组合。 ABC-PTS算法可以显着降低较大的PTS子块的计算复杂度,并同时提供较低的PAPR。仿真结果表明,ABC-PTS算法是一种有效降低PAPR的有效方法。

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