基于相位因子子优化的OFDM系统PAPR降低

Jing Gao, Jinkuan Wang, Bin Wang
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引用次数: 5

摘要

部分发射序列(PTS)是降低正交频分复用(OFDM)发射机的峰均功率比(PAPR)的有效技术。然而,为PTS选择最优参数是非常复杂的,因为它需要穷尽搜索所有可能的权重因子,这些权重因子的数量随着子块的数量呈指数增长。提出了一种基于改进粒子群算法(PSO)的PTS算法,通过次优选择权重因子来降低算法的复杂度。结果表明,该算法在许多情况下的性能与最优PTS非常接近,且复杂度大大降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PAPR reduction with phase factors suboptimization for OFDM systems
Partial transmit sequence (PTS) is an effective technique to reduce the peak-to-average power ratio (PAPR) for orthogonal frequency division multiplexing (OFDM) transmitter. However, selecting the optimal parameters for the PTS is very complex since it requires an exhaustive search of all possible weighting factors whose number grows exponentially with the number of subblocks. An improved particle swarm optimization (PSO) based PTS algorithm is proposed to reduce the complexity by choosing the weighting factors suboptimally. The evaluation shows that the proposed algorithm performs very closely to the optimal PTS in many cases with much lower complexity.
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