针对现有OFDM系统单一调制方式下峰均功率比过高问题,提出采用自适应调制的AFSA-PTS算法。该算法基于子载波信道增益对子载波进行自适应比特分配,根据比特数确定各子载波的调制方式,实现自适应调制,并采用AFSA快速寻优到PTS算法中的最佳序列,从而在降低系统计算复杂度的同时,实现峰均功率比的有效降低。仿真结果表明,采用自适应调制AFSA-PTS算法在降低峰均比的同时可有效降低系统的计算复杂度,证明了其优越性。
This paper proposed an adaptive modulating artificial fish school optimized PTS algorithm to solve the high PAPR of single modulation in existing OFDM system. Firstly, it allocated bits based on the channel gain of sub-channels, then chose modulation mode for each sub-channels based on allocated bits. Finally, it used AFSA to find the optimal phase factor of PTS quickly, reducing computational complexity as well as the peak-to-average power ratio. The simulation results show that using adaptive modulating artificial fish school optimized PTS algorithm can reduce PAPR as well as the peak-to-average power ratio, which verifies the advantage of the proposed method.