CAJ | 학술논문

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。
위료감소정교빈분복용（OFDM）계통적고봉치평균공솔비（PAPR），제출일충기우양자진화산법（QEA）적저복잡도부분전수계렬（PTS）연합방법。해방법통과순배이위대전통적PTS진행개진，이용OFDM계통제공적액외자유도장순배이위여독립선전상위진행조합우화，병채용QEA래수색최우상위인자，사득PAPR최소。방진결과표명，여전통적방법비교，저리제출적QEA?PTS적연합방법경가유효지감소계통적PAPR，동시강저료계산복잡도。
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 pro?posed,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 compu?tational complexity.