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This chapter explores advanced equalization and compensation techniques to optimize optical fiber communication systems. A joint CMA-DDLMS algorithm is proposed for 2 × 20G Baud PAM4 transmission over 20 km, reducing BER to 1.0 × 10−3 at the threshold of the received power is 0 dBm A hybrid SCA-CMMA algorithm is then introduced, combining fast convergence and low steady-state error to address mode-related impairments in a seven-core three-mode fiber architecture, bypassing MIMO through optimized fiber design. To mitigate nonlinearities and dynamic crosstalk in FMF systems, a Jones-Volterra training sequence (JVTS) is developed, enhancing received power and BER performance. Finally, a low-complexity carrier phase estimation method using two-stage BPS with first-order distance (FOD) approximation replaces fixed-step blind search, maintaining accuracy while reducing computational load.

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Channel and Equalization Algorithms in Optical Fiber Communication System

  • 章节

  • 发表日期：

    2025年

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  • Feng Tian,
  • Xiangjun Xin

摘要

This chapter explores advanced equalization and compensation techniques to optimize optical fiber communication systems. A joint CMA-DDLMS algorithm is proposed for 2 × 20G Baud PAM4 transmission over 20 km, reducing BER to 1.0 × 10−3 at the threshold of the received power is 0 dBm A hybrid SCA-CMMA algorithm is then introduced, combining fast convergence and low steady-state error to address mode-related impairments in a seven-core three-mode fiber architecture, bypassing MIMO through optimized fiber design. To mitigate nonlinearities and dynamic crosstalk in FMF systems, a Jones-Volterra training sequence (JVTS) is developed, enhancing received power and BER performance. Finally, a low-complexity carrier phase estimation method using two-stage BPS with first-order distance (FOD) approximation replaces fixed-step blind search, maintaining accuracy while reducing computational load.