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首页> 外文期刊>IEEE Transactions on Communications >Orthogonal-transformed variable-gain least mean squares (OVLMS) algorithm for fractional tap-spaced adaptive MLSE equalizers
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Orthogonal-transformed variable-gain least mean squares (OVLMS) algorithm for fractional tap-spaced adaptive MLSE equalizers

机译：分数阶抽头间隔自适应MLSE均衡器的正交变换可变增益最小均方（OVLMS）算法

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摘要

A fast channel-estimation scheme for adaptive maximum-likelihood sequence-estimation (MLSE) equalizers called the orthogonal-transformed variable-gain least mean squares (OVLMS) algorithm is proposed. This algorithm requires only as many operations as the least mean squares algorithm in spite of its excellent performance. Furthermore, an operational complexity reduction method is proposed in which the orthogonal matrix is reconfigured as eigenvectors with valid eigenvalues. The OVLMS algorithm is theoretically analyzed and is shown to have both a fast acquisition and a good tracking performance. An equalizer using OVLMS (OVLMS-MLSE) experimentally attains a 5-dB improvement in bit-error rate (BER) performance at BER of 1.0/spl times/10/sup -4/ over coherent detection. The OVLMS-MLSE is found to be free of the degradation caused by sampling phase error. Finally, the OVLMS-MLSE equalizer is experimentally verified to synchronize within five symbols.
机译：提出了一种用于自适应最大似然序列估计（MLSE）均衡器的快速信道估计方案，称为正交变换可变增益最小均方（OVLMS）算法。尽管该算法具有出色的性能，但仅需要与最小均方算法一样多的运算即可。此外，提出了一种降低操作复杂度的方法，其中将正交矩阵重新配置为具有有效特征值的特征向量。从理论上分析了OVLMS算法，并显示了该算法具有快速捕获和良好的跟踪性能。实验证明，使用OVLMS（OVLMS-MLSE）的均衡器在相干检测方面的误码率（BER）为1.0 / spl次/ 10 / sup -4 /时，误码率（BER）性能提高了5 dB。发现OVLMS-MLSE没有因采样相位误差引起的降级。最后，OVLMS-MLSE均衡器经过实验验证，可以在五个符号内同步。

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