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.%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.
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