共轭梯度均衡器自适应算法与LMS算法

Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering', Pub Date : 1989-04-11 DOI:10.1109/MELCON.1989.50017

J. Tasic, P. Blaznik

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引用次数: 1

摘要

LMS(最小均方)和共轭梯度窗(CGW)算法被考虑用于数字均衡器。实现CGW算法的均衡器需要更多的计算量，但收敛速度更快，可以在较差的条件下使用。仿真结果令人鼓舞。介绍了用于多电平正交调制的CGW方法的实现。

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Conjugate gradient equalizers adaptation algorithm versus LMS algorithm

The LMS (least mean square) and conjugate-gradient window (CGW) algorithms are considered for use in digital equalizers. The equalizer with implementation of the CGW algorithm is shown to require more computation, but the convergence is faster and the equalizer can be used in worse conditions. The simulation results are encouraging. The implementation of the CGW method for multilevel quadrature modulation is noted.<>

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Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',

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