Chinese Journal of Lasers, Volume. 49, Issue 11, 1106002(2022)

Noniterative Detection Receiving Method for LACO-OFDM in Wireless Optical Communications

Xiaoshuang Liu1, Jianfeng Li1、*, Yahao Ren1, and Zhitong Huang2
Author Affiliations
  • 1Information Technology College, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China
  • 2State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
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    Conclusions

    A noniterative detection method is proposed in this paper to reduce the nonlinear interference of the LACO-OFDM system in nonlinear channels. Maximum likelihood detection in the frequency domain of the proposed noniterative receiver is not required, which can avoid the propagation of nonlinear noise from the lower to the upper layer of LACO-OFDM. Simulation results show that the PAPR of LACO-OFDM signals of Layer 1 is the highest in the nonlinear amplitude clipping channel, which has the highest level of nonlinear interference. Each layer signal is independently demodulated in the noniterative detection receiver, and the frequency domain detection of the first layer signal is not performed. Therefore, the nonlinear noise of Layer 1 is not transmitted to the signal of the upper layer, and the ACO-OFDM signal of Layers 2, 3, and 4 is almost unaffected by the nonlinearity. Compared with the iterative detection receiver, the performance of the proposed receiver exceeds that of the iterative detection method with the enhancement of nonlinearity. The SNR gain of the proposed receiver is 1 dB-3 dB at the 7% FEC limit.

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    Xiaoshuang Liu, Jianfeng Li, Yahao Ren, Zhitong Huang. Noniterative Detection Receiving Method for LACO-OFDM in Wireless Optical Communications[J]. Chinese Journal of Lasers, 2022, 49(11): 1106002

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    Paper Information

    Category: fiber optics and optical communications

    Received: Sep. 13, 2021

    Accepted: Oct. 27, 2021

    Published Online: Jun. 2, 2022

    The Author Email: Li Jianfeng (lijianfeng555@126.com)

    DOI:10.3788/CJL202249.1106002

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