【摘要】 为了减小正交频分复用(OFDM)系统的高峰值平均功率比(PAPR),提出一种基于量子进化算法(QEA)的低复杂度部分传输系列(PTS)联合方法。该方法通过循环移位对传统的PTS进行改进,利用OFDM系统提供的额外自由度将循环移位与独立旋转相位进行组合优化,并采用QEA来搜索最优相位因子,使得PAPR最小。仿真结果表明,与传统的方法比较,这里提出的QEA-PTS的联合方法更加有效地减小系统的PAPR,同时降低了计算复杂度。更多还原

【Abstract】 In order to reduce the peak average power ratio(PAPR)of orthogonal frequency division multiplexing(OFDM)system,a low complexity partial transmit series(PTS) method based on the quantum evolutionary algorithm(QEA) is proposed,with which the traditional PTS is improved by means of cyclic shift. The additional degrees of freedom provided by OFDM system is adopted to make combination optimization of the cyclic shift and independent rotating phase. The QEA is used to search for the optimal phase factor to make the PAPR minimum. The simulation results show that,compared with traditional method,the QEA-PTS method proposed in this paper can reduce the system’s PAPR more effectively while lowering the computational complexity.更多还原