• Optical Communication Technology
  • Vol. 47, Issue 8, 52 (2021)
HU Feifan, XU Hangyong, XI Yu, BI Meihua, and ZHAO Lou
Author Affiliations
  • [in Chinese]
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    DOI: 10.13921/j.cnki.issn1002-5561.2021.08.011 Cite this Article
    HU Feifan, XU Hangyong, XI Yu, BI Meihua, ZHAO Lou. Non-uniform quantization scheme of self-organizing map neural network in multi-carrier optical transmission system[J]. Optical Communication Technology, 2021, 47(8): 52 Copy Citation Text show less

    Abstract

    In order to solve the high cost problem caused by high peak to average power ratio(PAPR) which need the high-resolution digital-to-analog converter/analog-to-digital converter(DAC/ADC) in the intensity modulation and directly detection (IMDD)-based universal multi-carrier(IMDD-UFMC) modulation optical transmission system, a non-uniform quantization scheme based on self-organizing mapping(SOM) neural network is proposed in this paper. The scheme minimizes the quantization error by unsupervised learning through a competitive mechanism to realize the non-uniform quantization with the minimum quantization noise, so as to improve the system performance of IMDD-UFMC. In this way, the low-bit resolution but efficiency DAC can be employed in the IMDD-UFMC system. The simulation results show that compared to the uniform quantization scheme, the non-uniform quantization scheme of SOM can reduce 1 bit resolution in the case of the same system performance, in some cases, it can improve the receiving sensitivity of at least 1.7dB.
    HU Feifan, XU Hangyong, XI Yu, BI Meihua, ZHAO Lou. Non-uniform quantization scheme of self-organizing map neural network in multi-carrier optical transmission system[J]. Optical Communication Technology, 2021, 47(8): 52
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