在概率类SLM(选择性映射)算法基础上, 提出一种改进型算法以降低可见光通信系统的PAPR(峰均功率比)。该算法利用Logistic混沌序列作为叠加训练序列, 并作为SLM算法中的随机相位序列, 这样在传送边带信息时, 无需传送所有的随机相位序列, 只需传送混沌序列的初始值。在接收端可以根据传送的初始值恢复传送的混沌序列, 从而减少边带信息的冗余, 提高系统的频带利用率和误码率性能。文章给出了算法原理及仿真结果, 仿真结果表明: 新算法可以有效抑制可见光通信系统的PAPR, 同时提高了系统信噪比。

Based on the SLM algorithm, an improved algorithm is proposed to reduce the Peak to Average Power Ratio (PAPR) in the Visible Light Communication (VLC) system. Using improved Logistic chaotic sequence as superimposed training sequence, and the random phase sequences in this algorithm, the system doesn’t need to transfer all the random phase sequences, which only need to transfer the initial value of chaotic sequence. At the receiver side, the chaotic sequences can be recovered according to the initial value. Therefore, this algorithm can reduce the redundancy of the side band information and improve the bandwidth utilization rate and BER performance of the system. The principle of the algorithm and simulation results are given in this paper. The simulation results show that the new algorithm can effectively suppress the PAPR of the VLC system, and improve the SNR of the system.