LI Tian-yu, LI Wei-ze, HONG Wen-xin, et al. Research on IGA-SLM Algorithm for Reducing PAPR in DCO-OFDM System. [J]. (4):17-19(2020) DOI: 10.13756/j.gtxyj.2020.04.004.
Research on IGA-SLM Algorithm for Reducing PAPR in DCO-OFDM System
To solve the problem of high Peak to Average Power Ratio(PAPR) in Direct Current biased Optical-Orthogonal Frequency Division Multiplexing(DCO-OFDM) system in visible light communication
the selective mapping method can be used to reduce the PAPR of the system. Because the selective mapping algorithm can only select the local optimum in a limited set of phase rotation sequences
the genetic algorithm is introduced to search for the global optimum solution. Meanwhile
the genetic algorithm has the problem of premature convergence. In order to solve this issue
we apply several methods including the adaptive adjustment mechanism
the adaptive multi-point crossover mechanism
the optimal solution protection mechanism and the immediate elimination mechanism to improve the genetic algorithm. Therefore
an Improved Genetic Algorithm-Selected Mapping(IGA-SLM) is proposed. The simulation results show that the proposed algorithm can significantly reduce the PAPR of DCO-OFDM system.
关键词
可见光通信直流偏置光-正交频分复用系统峰均功率比改进型遗传选择性映射算法
Keywords
visible light communicationDCO-OFDM systempeak-to-average power ratioIGA-SLM