O-OFDM系统中基于相关性分析的改进PTS算法

Improved PTS Algorithm Based on Correlation Analysis in O-OFDM System

为了解决光正交频分复用系统的高峰均功率比问题,提出了一种基于相关性分析的部分传输序列算法.该算法通过分析备选信号之间的相关性,将强相关信号和弱相关信号进行分类,对强相关信号进行选择性搜索,对弱相关信号进行全搜索,这样在整体上了减少搜索次数.此外,通过分析备选相位因子序列之间的关系,优化相位因子加权过程.仿真结果表明,在三种分割状态下,均能有效改善系统峰均功率比,尤其在交织分割状态下,该算法与传统部分传输序列算法相比,实现了无峰均功率比性能损失,且计算复杂度得到大幅度降低.

In order to solve the problem of peak-to-average power ratio of optical orthogonal frequency division multiplexing system, a partial transmission sequence algorithm based on correlation analysis is proposed. By analyzing the correlation among the alternative signals, the algorithm classifies the strong correlation signal and the weak correlation signal, and searches the strong correlation signal selectively and the weak correlation signal completely, thus reducing the searching times on the whole. In addition, this paper optimizes the phase factor weighting process by analyzing the relationship between alternative phase factor sequences. The simulation results show that the peak-to-average power ratio of the system can be improved effectively under the three segmentation states. Especially in the interleaved segmentation state, the proposed algorithm is compared with the traditional partial transmission sequence algorithm. The proposed algorithm is with no-performance loss of peak-to-average power ratio, and the computational complexity is greatly reduced.