• Chinese Optics Letters
  • Vol. 22, Issue 4, 040601 (2024)
Bo Liu1,*, Jianxin Ren1, Xiangyu Wu1, Shuaidong Chen1..., Yaya Mao1 and Li Zhao2|Show fewer author(s)
Author Affiliations
  • 1Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai 200433, China
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    DOI: 10.3788/COL202422.040601 Cite this Article Set citation alerts
    Bo Liu, Jianxin Ren, Xiangyu Wu, Shuaidong Chen, Yaya Mao, Li Zhao, "Neural network equalization based on delta-sigma modulation," Chin. Opt. Lett. 22, 040601 (2024) Copy Citation Text show less

    Abstract

    We propose a neural network equalization delta-sigma modulation (DSM) technique. After performing DSM on the multi-order quadrature amplitude modulation (QAM) orthogonal frequency division multiplexing (OFDM) signal at the transmitting end, neural network equalizer technology is used in the digital signal processing at receiving end. Applying this technology to a 4.6 km W-band millimeter wave system, it is possible to achieve a 1 Gbaud 8192-QAM OFDM signal transmission. The data rate reached 23.4 Gbit/s with the bit error rate at 3.8 × 10-2, lower than soft-decision forward-error correction threshold (4 × 10-2).
    H=(z21.993z+1)(z21.95z+1)(z21.909z+1)(z21.594z+0.6419)(z21.641z+0.7272)(z21.758z+0.8918).

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    X={x1,x2,,x2t},si=x2i1+x2i·1j.

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    Hout=Hin·W+b.

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    Y=ReLu(ReLu(ReLu(X·W1+b1)·W2+b2)·W3+b3.

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    MSE=(YY^)2.

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    Bo Liu, Jianxin Ren, Xiangyu Wu, Shuaidong Chen, Yaya Mao, Li Zhao, "Neural network equalization based on delta-sigma modulation," Chin. Opt. Lett. 22, 040601 (2024)
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