降低峰均值比的时域交织分割PTS算法及分析

Interleaved Partitioning PTS method in time domain for PAPR Reduction

本文根据交织分割部分传输序列(IPTS)的特点,利用具有周期结构的序列DFT的性质,提出基于时域的IPTS算法;同时,将其和常规PTS算法、选择映射算法(SLM)及基于时域循环卷积的PAPR降低算法(TCM)的计算量、性能等进行比较和分析。仿真实验和分析说明本文方法能降低常规IPTS算法的运算量,同时以较小的运算量达到常规相邻分割PTS(APTS)算法的性能。

An Interleaved partitioning Partial Transmit Sequence （IPTS） method in time domain, based on the DFT property of the sequences with periodical structure, is developed and realized to reduce the peak-to-average power ratio （PAPR） of OFDM signals. The comparison of the proposed method with PTS, Selected Mapping （ SLM ） and temporal circular convolution method （ TCM ） is carried out from the view of compuIational costs, the performance and the redundancy. The simulation results show that the proposed method can lower the computational costs of the IPTS, and, with lower computational costs, similar performance as adjacent partitioning PTS （APTS） can be achieved.