Research of Blind Equalization Technology of Coherent Optical Communication Based on Decidion Optimization

Zicheng Wu, Zhiping Huang, Ze Wang
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引用次数: 1

Abstract

In order to improve the equalization performance of the coherent optical communication system. Improve the problems of Godard blind equalization algorithm under non-cooperative communication such as large steady-state error and weak convergence. A decision optimized blind equalization method based on modified constant modulus algorithm (MCMA) and variable step size direct decision least mean square (VSSDDLMS) algorithm is proposed. Use different functional modules to implement the MCMA and VSSDDLMS algorithms. The new algorithm combines the characteristics of MCMA algorithm stability and DDLMS algorithm with small steady-state errors, and introduces the autocorrelation estimation of the error function to control the step size update. Experimental results show that the constellation diagram of the new algorithm converges tightly and the steady-state error is small, the bit error rata is low. The algorithm effectively improves the anti-jamming capability of the communication system, and can be applied to the fields of optical communication, satellite communication, radar and other fields.
基于决策优化的相干光通信盲均衡技术研究
为了提高相干光通信系统的均衡性能。改进了非合作通信条件下戈达尔盲均衡算法稳态误差大、收敛性弱等问题。提出了一种基于修正常模算法(MCMA)和变步长直接决策最小均方(VSSDDLMS)算法的决策优化盲均衡方法。使用不同的功能模块实现MCMA和VSSDDLMS算法。该算法结合了MCMA算法稳定性好和DDLMS算法稳态误差小的特点,引入误差函数的自相关估计来控制步长更新。实验结果表明,新算法的星座图收敛严密,稳态误差小,误码率低。该算法有效地提高了通信系统的抗干扰能力,可应用于光通信、卫星通信、雷达等领域。
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