一种减小F-OFDM系统PAPR的改进算法  

Improved algorithm for reducing PAPR in F-OFDM system

作　　者：林志阳[1] LIN Zhiyang(School of Information and Communication Engineering,Hainan University,Haikou 570228,China)

机构地区：[1]海南大学信息与通信工程学院,海南海口570228

出　　处：《现代电子技术》2021年第23期18-21,共4页Modern Electronics Technique

基　　金：海南省自然科学基金项目资助(619MS029);海南省高等学校科学研究资助项目(Hnky2019-8)。

摘　　要：为了减小5G网络波形中的子带滤波正交频分复用(F-OFDM)系统峰均功率比(PAPR),提出一种新的低复杂度算法(GA-SLM-CM),该算法经过选择性映射(SLM)算法后产生的候选信号,通过生成转换矩阵(CM)取代离散傅里叶逆运算来降低系统的复杂度。为了减小候选信号的相关性,提高系统性能,采用遗传算法(GA)和CM相结合生成最优循环转换矩阵,最后选择PAPR最小的一组作为发射信号。仿真结果表明,与当前SLM-GA算法相比,GA-SLM-CM算法既降低了系统的PAPR又降低了计算复杂度。在此基础上,为了进一步验证该算法,将GA-SLM-CM算法与SLM-GA算法、SLM-CM算法分别从信噪比、误比特率和迭代次数上进行了比较,结果表明,该算法在PAPR减小、系统性能和复杂度计算上明显占优。A novel low complexity algorithm(GA-SLM-CM)is proposed to reduce the peak-to-average power ratio(PAPR)of filtered orthogonal frequency division multiplexing(F-OFDM)system in the 5G network waveform.In this algorithm,the candidate signals generated by selective mapping(SLM)algorithm can reduce the complexity of the system by generating the conversion matrices(CM)instead of the inverse discrete Fourier transform(IDFT).A combination of the genetic algorithm(GA)and CM is used to generate the optimal cyclic transformation matrix to reduce the correlation of candidate signals and improve the system performance.Finally,the group with the lowest PAPR is selected as the transmitting signal.The simulation results show that,in comparison with the current SLM-GA algorithm,the GA-SLM-CM algorithm can reduce both the PAPR and the computational complexity of the system.On this basis,the GA-SLM-CM algorithm is compared with SLM-GA algorithm and SLM-CM algorithm in terms of signal-to-noise ratio(SNR),bit error rate(BER)and iteration times for verification.The results show that the proposed algorithm is superior in PAPR reduction,system performance and complexity calculation.

关 键 词：子带滤波正交频分复用 峰值平均功率比 5G通信 遗传算法 选择性映射 转换矩阵 信噪比 误比特率 

分 类 号：TN911.3-34[电子电信—通信与信息系统]