基于迭代的部分传输序列备选信号相关性降低峰均功率比算法

摘要

The Partial Transmitted Sequence (PTS) is an efficient algorithm to solve the problem of high Peak-to-Average　 Power Ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM), but the basic algorithm of PTS has higher　 computational complexity. A new algorithm based on Cyclic Iteration PTS ( C-IPTS) which is called Correlational Cyclic　 Iteration PTS(CC-IPTS) was proposed to solve this problem. The proposed algorithm reduced computational complexity by　 using the relation between adjacent phase factors in Iteration PTS (IPTS), and the correlation of two candidate signals in PTS and cyclic iteration. The simulation shows that CC-IPTS can not only improve the PAPR performance, but also reduce computational complexity.%部分传输序列(PTS)算法能够有效降低正交频分复用(OFDM)系统中高峰均功率比(PAPR)问题,并且不会引入失真,但PTS算法具有较高的复杂度.针对该问题,提出一种称为相关循环迭代的PTS (CC-IPTS)新算法.该算法利用迭代PTS在搜索最优相位因子时相邻相位因子间的关系以及迭代PTS(WTS)中备选信号间相关性的特点,进行循环迭代.仿真结果表明,所提算法不但取得了较低的算法复杂度,还有效降低了峰均功率比.