中文摘要：

部分传输序列算法（PTS）是抑制非连续正交频分复用（NC-OFDM）系统中峰值功率平均比（峰均比,PAPR）的有效算法之一,但该算法存在着搜索最优相位集合时计算复杂度高的问题。针对该问题,提出了一种改进的离散粒子群优化PTS的峰均比抑制算法。改进算法将整个粒子群体划分为多个子群,增加了粒子的多样性,使得相位因子朝着最优解快速收敛,避免了因陷入局部最优解而导致早熟的现象,可获取更优的相位因子。仿真结果表明,在降低传统PTS算法复杂度的同时,改进算法可获得优于传统粒子群优化PTS算法0.3~0.4 d B的PAPR性能改善,从而证明了该算法的有效性。

英文摘要：

Partial transmit sequences（ PTS） algorithm is an effective technique to reduce the high peak to average power radio（ PAPR） in the non-contiguous orthogonal frequency division multiplexing（ NC-OFDM）. However,the algorithm complexity of PTS is extremely high while searching the best phase vectors. To solve this problem,an improved PTS based on discrete particle swarm optimization is proposed. The improved algorithm increases the diversity of particle swarm by dividing the population into several parts. In this way,the phase vectors would constrict to the best result and then avoid the local optimum. The simulation results show that the proposed algorithm reduces 0.3 ~ 0.4 d B in PAPR,and obtains more advantagesthan traditional algorithm.