Journal of Northeastern University Natural Science ›› 2020, Vol. 41 ›› Issue (7): 927-932.DOI: 10.12068/j.issn.1005-3026.2020.07.003

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

JI Ce, MA Fu-yong, ZHANG Chao   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Received:2019-04-08 Revised:2019-04-08 Online:2020-07-15 Published:2020-07-15
  • Contact: MA Fu-yong
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Abstract: 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.

Key words: optical orthogonal frequency division multiplexing system, peak-to-average power ratio(PAPR), partial transmission sequence(PTS), sampling point position, grouping optimization

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