降低OFDM系统复杂度的改进SLM算法  

Improved SLM Algorithm for Reducing OFDM System Complexity

作　　者：季策 贾佃霞 张超 祝雯靖 JI Ce;JIA Dian-xia;ZHANG Chao;ZHU Wen-jing(School of Information Science ＆ Engineering,Northeastern University,Shenyang 110169, China)

机构地区：[1]东北大学计算机科学与工程学院,辽宁沈阳110169

出　　处：《东北大学学报（自然科学版）》2018年第5期619-623,共5页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(61673093;61370152);沈阳市科技计划项目(F16-205-1-01)

摘　　要：为了降低正交频分复用(OFDM)系统中传统选择性映射(SLM)算法的计算复杂度,提高系统的频谱利用效率,提出了基于转换向量(conversion vectors)与随机筛选序列(random selection sequences)相结合的选择性映射(CR-SLM)算法.CR-SLM算法是将原始信号序列等分,然后对于数据序列的前半部分与转换向量相乘进行循环卷积,对于数据序列后半部分进行随机序列筛选,筛选出最优序列.最后将两部分输出序列合并生成候选序列,筛选出最优序列进行传输.仿真结果表明:CR-SLM算法在保持与传统SLM算法PAPR性能相近的情况下,较大幅度降低了计算复杂度.In order to reduce the computational complexity of the traditional selective mapping（ SLM） algorithm in OFDM（ orthogonal frequency division multiplexing） systems,and improve the spectral efficiency of the system,a CR-SLMalgorithm based on the combination of conversion vectors and random selection sequences was proposed. In this algorithm,the data sequence is equally divided into two parts. For the first half of the data sequence IFFT（ inverse fast Fourier transform） is taken,and then circular convolution is performed. Random sequence screening is applied for the second half section to reduce the complexity. Finally,the two output sequences are grouped together to generate candidate sequences, and the optimal sequence is selected for transmission. The simulation results showthat the CR-SLMalgorithm greatly reduces the computational complexity while maintaining the PAPR（ peak to average power ration） close to that of the conventional SLMalgorithm.

关 键 词：正交频分复用 SLM算法 转换向量 随机筛选序列 峰均功率比 

分 类 号：TN929.53[电子电信—通信与信息系统]