基于分割误差函数的变动量因子盲均衡算法

G. Ye-cai, Ji Juan-juan
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引用次数: 0

摘要

在分析分割误差函数决策反馈盲均衡算法(SF-DFE)的基础上,提出了变动量因子分割误差函数决策反馈盲均衡算法(VMSF-DFE)。提出的VMSF-DFE算法利用分割误差函数减小均方误差,利用动量项提高收敛速度,利用可变动量因子控制跟踪性能。水声信道仿真试验表明,该算法不仅收敛速度快,而且均方误差小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Segmentation error function based Variable Momentum factor blind Equalization algorithm
On the basis of analyzing segmentation error function decision feedback blind equalization algorithm (SF-DFE), Variable Momentum factor Segmentation error function Decision Feedback blind Equalization algorithm (VMSF-DFE) is proposed. The proposed VMSF-DFE algorithm uses segmentation error function to reduce mean square error, employs momentum term for improving the convergence rate, and utilizes variable momentum factor to control its tracking performance. Simulation test with underwater acoustic channel indicates that the proposed VMSF-DFE algorithm has not only faster convergence rate but also less mean square error.
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