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Simulation and Comparative Analysis of SS-LMS & RLS Algorithms for Electronic Dispersion Compensation

机译:SS-LMS仿真与比较分析电子色散补偿的RLS算法

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In this paper electronic feed forward equalization is performed to mitigate the link chromatic dispersion. The equalizer coefficients are computed by a decision-directed process based on the sign-sign least mean square and the recursive least square algorithm. Therefore, this paper evaluates the performance of these algorithms in chromatic dispersion compensation at bit rate of 10 Gb/s. This paper compares these two adaptation algorithms for receiver based on analogue electronic dispersion equalizers by simulation and experiment. This paper concluded that recursive least-square algorithm is computationally more complex than sign-sign least mean square algorithm since matrix inversion is required, but achieves faster convergence.
机译:在本文中,进行电子前馈均衡以减轻链路色散。均衡器系数通过基于符号最小均方和递归最小二乘算法的决策处理来计算。因此,本文评估了这些算法在10 Gb / s比特率下的色散补偿中的性能。通过仿真和实验比较了两种基于模拟电子色散均衡器的接收机自适应算法。本文得出结论,由于需要矩阵求逆,因此递归最小二乘算法在计算上比符号最小二乘均方算法更复杂,但收敛速度更快。

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