传统的部分传输序列(PTS)算法可以降低正交频分复用(OFDM)系统的高峰值平均功率比(PAPR),但自身较为复杂难以直接应用到OFDM系统中。为了有效降低OFDM系统PAPR,在粒子群总数增加时减少迭代次数,增加系统的稳定性,提出了一种基于PSO-PTS联合算法。通过对粒子群参数进行优化与仿真分析,结果表明,提出的PSO-PTS混合算法能有效的减小OFDM系统的PAPR,也降低了计算复杂度。
The traditional partial transit sequence(PTS) algorithm can reduce the high peak to aver-age power ratio( PAPR) of orthogonal frequency division multiplexing( OFDM) system, but it cannot be directly applied to the OFDM system due to its complexity.In order to effectively reduce the PA-PR of FDM system, decrease the number of iterations when the total number of particle swarm is in-creased, and improve the stability of system, an algorithm based on PSO-PTS is proposed.Through optimizing the parameters of particle swarm, the simulation results show that the PSO-PTS algorithm presented can effectively reduce the PAPR of OFDM systems and the computational complexity.