黎曼序列降低小波包调制系统PAPR的性能研究

Research on Performance of Wavelet Packet Modulation PAPR Reduction with Riemann Sequence

在分析选择映射算法基本原理上,探讨了一种基于黎曼序列降低小波包调制系统的峰均功率比的算法。算法核心思想是根据小波包调制采用分级调制的特点,利用黎曼序列分级扰乱,实现对发送序列的多级置乱,减弱发送序列的自相关性,从而达到降低小波包调制系统的峰均功率比,同时也克服了传统选择映射算法中需要传输附加信息,占用频带资源的不足。仿真结果表明,算法实现简单,较好地改善了小波包调制系统的峰均功率比性能。

On the basis of analyzing the basic principle of selected mapping algorithm, this paper discussed a method to reduce the peak-to-average power ratio（PAPR） in the wavelet packet modulation（WPM） system based on Riemann sequence. According to the characteristics of hierarchical modulation in WPM, the main idea of the algorithm is to achieve muhi-level transmission hierarchical disrupting, which can weaken the autocorrelation scrambling sequence with Riemann sequence＇s of transmission sequence, so that the PAPR in the system is reduced. This method also overcomes the band resource shortage of traditional selected mapping algorithm which needs to transmit the additional information. The simulation results showed that the proposed algorithm was easy to be realized and improved the performance of PAPR in the system well.