O-OFDM系统中基于采样点位置分组优化的PTS算法

针对光正交频分复用(OFDM)系统峰均功率比(PAPR)过高的问题，提出了基于采样点位置分组优化的部分传输序列(SG-PTS)算法.将采样位置按交织分割的方式进行分组，分别对不同位置上的数据单独优化，削弱了不同位置的备选采样点数据使用相同的相位因子序列的限制，有效改善了光正交频分复用系统的峰均功率比性能.仿真结果表明，所提出的算法相比于传统部分传输序列算法，在计算复杂度和误码率性能基本相同的情况下，峰均功率比性能随着采样点位置分组数的增加而改善明显.当子载波数N=256，相位因子数W=2，子块数M=4和M=8，采样点位置分为2组时，峰均功率比性能分别提升0.1dB和0.2dB左右；采样点位置分为4组时，峰均功率比性能可分别改善0.4dB和0.7dB左右.

PTS Algorithm Based on Sampling Point Position Grouping Optimization in O-OFDM Systems

Aiming at the problem of high peak-to-average power ratio(PAPR) in optical orthogonal frequency division multiplexing(OFDM) systems， a partial transmission sequence(PTS) based on the optimization of sampling point position grouping(SG-PTS) algorithm was proposed. The sampling position was divided by interleaved segmentation， and the data on different positions were optimized separately， which weakened the limitation of using the same phase factor sequence for alternative sampling point data in different positions. The PAPR performance of optical OFDM system was improved effectively. The simulation results showed that compared with the traditional PTS algorithm， the PAPR performance of the proposed algorithm is significantly improved with the increase of the number of sampling points grouped with the same computational complexity and bit error rate performance. When the number of sub-carrier is N=256， the number of phase factor is W=2， the numbers of sub-blocks are M=4 and M=8， and the sampling points positions are divided into two groups， the PAPR performance is improved by 0.1dB and 0.2dB， respectively. When the sampling points positions are divided into four groups， the PAPR performance can be improved by 0.4dB and 0.7dB，respectively.