Journal of Northeastern University Natural Science ›› 2019, Vol. 40 ›› Issue (6): 801-806.DOI: 10.12068/j.issn.1005-3026.2019.06.008

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

JI Ce, MA Fu-yong   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2018-05-08 Revised:2018-05-08 Online:2019-06-15 Published:2019-06-14
  • Contact: MA Fu-yong
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Abstract: 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.

Key words: optical orthogonal frequency division multiplexing system, peak-to-average power ratio, partial transmission sequence, signal correlation, weighted optimization

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