OFDM系统中降低峰均功率比算法的研究

正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)系统中,峰均功率比(Peak to AveragePower Ratio,PAPR)过高会导致收发器的非线性失真,严重影响系统的性能。传统的部分传输序列(Partial TransmitSequence,PTS)算法能够有效地降低PAPR,然而其计算复杂度随着分块数目增长呈指数增加。在研究PTS的基础上提出了双重迭代PTS算法,该算法利用增加迭代次数,并且每次迭代时选择不同的相位旋转因子集合来优化OFDM系统的峰均比性能。该算法在峰均比性能上优于常规OFDM系统以及普通迭代PTS算法,在降低峰均比性能和计算复杂度之间取得了较好的折衷。

Research on PAPR Reduction Algorithm for OFDM System

A high peak-to-average power ratio （PAPR） is a major shortcoming in OFDM systems,as it causes nonlinearity in the transmitter,degrading the performance of the system significantly. Partial transmit sequences （PTS） is one of the best methods in reducing PAPR,but there is a corresponding exponential increase in complexity. Double iterative PTS scheme is proposed based on the study of original PTS. By utilizing different phase rotation factor set for each iterative stage,the PAPR of OFDM system is improved. Compared with traditional schemes,the proposed scheme has a better performance and can obtain much better tradeoff between performance and complexity.