基于训练符号的正交双二进制PDM-FTN系统均衡
Training Symbol-Based Equalization for Quadrature Duobinary PDM-FTN Systems
摘要：
针对正交双二进制（QDB）调制的偏振复用快于奈奎斯特（FTN）相干光系统中的偏振解复用问题，提出了一种基于训练码元的均衡算法。该算法以最小均方算法为基础，同时考虑多个候选位置，以充分利用QDB调制的训练符号，仿真结果表明，该算法在不同极化对准情况下均具有良好的收敛性能。与使用具有差分编码的恒模算法的系统相比，使用所提出的算法获得2*10-2的误比特率所需的光信噪比分别降低了1.7和1.8 dB，用于4-进制正交幅度调制（4-QAM）和16-QAM系统，具有逐符号检测。与基于Tomlinson-Harashima预编码的FTN系统的比较说明，当使用4-QAM时，QDB是优选的。
英文摘要：
A training symbol-based equalization algorithm is proposed for polarization de-multiplexing in quadrature duobinary (QDB) modulated polarization division multiplexedfaster-than-Nyquist (FTN) coherent optical systems. The proposed algorithm is based on the least mean square algorithm, and multiple location candidates of a symbol are considered in order to make use of the training symbols with QDB modulation.Results show that an excellent convergence performance is obtained using the proposed algorithm under different polarization alignment scenarios. The optical signal-to-noise ratio required to attain a bit error rate of 2*10-2 is reduced by 1.7 and 1.8 dB using the proposed algorithm, compared to systems using the constant modulus algorithm with differential coding for 4-ary quadrature amplitude modulation(4-QAM) and 16-QAM systems with symbol-by-symbol detection, respectively.Furthermore, comparisons with the Tomlinson-Harashima precoding-based FTN systems illustrate that QDB is preferable when 4-QAM is utilized.
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