基于量子混沌映射降低OFDM系统PAPR的算法研究  

Research on the algorithm for reducing the PAPR of OFDM system based on quantum chaotic mapping

作　　者：马英杰[1] 赵耿[1] 魏占祯[1] 李兆斌[1] 鞠磊[1] MA Yingjie;ZHAO Geng;WEI Zhanzhen;LI Zhaobin;JU Lei(Beijing Electronic Science and Technology Institute,Beijing 100070,China)

机构地区：[1]北京电子科技学院,北京100070

出　　处：《通信学报》2019年第1期195-200,共6页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61772047)~~

摘　　要：针对OFDM系统存在较高峰均功率比的问题,提出基于量子loigstic混沌映射的改进选择性映射算法,采用量子loigstic混沌映射作为随机相位序列矢量,解决了传统loigstic混沌映射的不动点和稳定窗问题,提供数目众多,具有良好相关特性和随机特性,易于产生和再生的信号。仿真结果表明所提算法有效降低了系统的峰均比,扩展了候选序列数量,减少了冗余信息传输量,降低了系统的边带功率,并在OFDM技术中具有广阔的应用前景。Aiming at the high peak to average power ratio (PAPR) problem of OFDM system, a modified selective mapping algorithm based on quantum loigstic chaotic map was proposed. To solve the problem of fixed point and stable window, the quantum loigstic chaotic maps were used as random phase sequence vectors, which provided a large number signals with fine correlation and random characteristics, easy to produce and regenerate. Matlab simulation results show that the proposed algorithm effectively reduces the PAPR, increases the numbers of candidate signals, cuts down the amount of redundant information transmission, bring down the side band power. The proposed scheme has a broad application prospect in OFDM system.

关 键 词：正交频分复用 混沌映射 量子loigstic改进选择性映射算法 峰均功率比 边带功率 

分 类 号：TN918[电子电信—通信与信息系统]