论文标题
PAPR还原方法基于OFDM信号的参数最小交叉熵
PAPR Reduction Method Based on Parametric Minimum Cross Entropy for OFDM Signals
论文作者
论文摘要
部分发射序列（PTS）技术在降低正交频施加多路复用（OFDM）信号的高峰与平均功率比（PAPR）方面受到了很多关注。但是，PTS技术需要详尽地搜索允许的相位因子的所有组合，并且搜索复杂性随着子块的数量成倍增加。在本文中，提出了一种基于参数最小跨熵（PMCE）的新方法来搜索相因子的最佳组合。 PMCE算法不仅大大降低了PAPR，而且还降低了计算复杂性。模拟结果表明，它与详尽搜索的PAPR减少或多或少相同。
The partial transmit sequence (PTS) technique has received much attention in reducing the high peak to average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, the PTS technique requires an exhaustive search of all combinations of the allowed phase factors, and the search complexity increases exponentially with the number of sub-blocks. In this paper, a novel method based on parametric minimum cross entropy (PMCE) is proposed to search the optimal combination of phase factors. The PMCE algorithm not only reduces the PAPR significantly, but also decreases the computational complexity. The simulation results show that it achieves more or less the same PAPR reduction as that of exhaustive search.
