PSO与相位因子优选对结合降低OFDM峰均比的算法

针对正交频分复用 (orthogonal frequency division multiplexing, OFDM)系统的峰均功率比高的缺点，提出一种新的相位因子优选对方法,降低OFDM系统的峰均比。相位因子优选对方法原理是,筛选出多个低峰均功率比的子序列，将这些子序列重组后传输来降低系统峰值平均功率比 (peak to average power ratio, PAPR)。把相位因子优选对方法、粒子群优化算法（particle swarm optimization, PSO）与相位因子优选对结合的方法与传统PSO方法对比验证。仿真结果表明，把PSO与相位因子优选对结合的方法应用在OFDM系统中,获得了优于传统PSO算法0.1~0.2 dB的PAPR性能值，证明了新方法的有效性。

Algorithm combined PSO and phase factor optimal pair for PAPR reduction in OFDM systems

Orthogonal frequency division multiplexing(OFDM) systems have a high peak to average power ratio(PAPR),therefore this paper proposes a new method,named phase factor optimal pair,to solve this drawback.The phase factor optimal pair method can filter out many low PAPR sequences and restructure these sequences and transmit them to obtain the lower PAPR.This paper also combines particle swarm optimization(PSO) and the new method,and then compares the new method and the combined method with traditional PSO.The simulation results show that applying the combined method in OFDM systems is better than traditional PSO because it obtains a 0.1~0.2 dB lower PAPR than traditional PSO.The simulation proves the effectiveness of this method.