基于改进粒子群优化的部分传输序列峰均比降低研究  

PTS for Peak to Average Power Ratio Reduction Based on Improved PSO

作　　者：高静[1] 汪晋宽[1] 解志斌[1] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110004

出　　处：《系统仿真学报》2009年第19期6091-6094,共4页Journal of System Simulation

基　　金：博士学科点专项科研基金(20050145019)

摘　　要：部分传输序列(PTS)算法是解决正交频分复用(OFDM)系统高峰均功率比(PAPR)问题的有效手段,但是算法采用穷举搜索使得系统的复杂度非常高。针对该问题,将算法中最小峰均比的求解过程转化为非线性约束的优化问题,进而提出了一种新的离散粒子群优化(DPSO)方法,使得相位因子的搜索快速向最优相位序列的方向收敛,从而显著地降低了PTS算法的搜索复杂度,同时能够得到具有较小峰均功率比的信号。仿真结果证明,与传统PTS算法相比较,所提算法在搜索复杂度较低的情况下,能够获得很好的峰均功率比降低性能。Partial transmit sequences （PTS） algorithm is an attractive technique to reduce the high peak-to-average power ratio （PAPR） of orthogonal frequency division multiplexing （OFDM） systems. However, it requires full enumeration of all possible combination of phase vectors, which results in high computational complexity for practical systems. To solve this problem, the searching phase factors of PTS was formulated as a combinatorial optimization problem, then a novel discrete article swarm optimization （DPSO） was proposed. In the proposed algorithm, a new particle swarm formula was proposed to search the optimal combination of phase factors, which made the search trajectories converge to the best phase factors quickly, thus achieve the signals with low PAPR. Simulation results show that the proposed algorithm can achieve good PAPR reduction with low computational complexity.

关 键 词：正交频分复用 峰均功率比 部分传输序列 离散粒子群优化 

分 类 号：TN911.7[电子电信—通信与信息系统]