论文标题
基于人工蜜蜂菌落算法的PAPR减少方法，用于OFDM信号
A PAPR Reduction Method Based on Artificial Bee Colony Algorithm for OFDM Signals
论文作者
论文摘要
正交频施加多路复用（OFDM）信号的主要缺点之一是传输信号的高峰与平均功率比（PAPR）。文献中已经提出了许多PAPR还原技术，其中部分发射序列（PTS）技术已经进行了相当大的研究。但是，PTS技术需要对允许相位因子的所有组合进行详尽的搜索，其复杂性随着子块的数量而成倍增加。在本文中，提出了一种基于修改的人造蜜蜂菌落（ABC-PTS）算法的新次优方法，以搜索相位因子的更好组合。 ABC-PTS算法可以显着降低较大的PTS子块的计算复杂性，并同时提供较低的PAPR。仿真结果表明，ABC-PTS算法是实现大量PAPR还原的有效方法。
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.
