加速宽线性LMS信道均衡算法的收敛性

2006 International Telecommunications Symposium Pub Date : 2006-09-01 DOI:10.1109/ITS.2006.4433369

F. de Aquino, C. D. da Rocha, L. Resende

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引用次数: 10

摘要

在本文中，我们研究了在广义线性(WL)自适应处理中使用一些经典技术来加速LMS算法的收敛性。考虑了信道均衡的应用。仿真结果验证了归一化LMS策略在减少收敛速度和稳态误差之间的权衡方面表现出最佳性能。

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Accelerating the convergence of the widely linear LMS algorithm for channel equalization

In this paper, we investigate the use of some classical techniques for accelerating the convergence of the LMS algorithm in widely linear (WL) adaptive processing. The application of channel equalizing is considered. Simulation results permit to verify that the normalized LMS strategy presents the best performance as far as a reduction of the trade-off between the convergence rate and steady-state error is concerned.

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2006 International Telecommunications Symposium

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