Blind fractionally-spaced equalization of noisy FIR channels: adaptive and optimal solutions
Blind fractionally-spaced equalization of noisy FIR channels: adaptive and optimal solutions
复制标题
噪声 FIR 通道的盲分数间隔均衡：自适应和最优解决方案
DOI：
10.1109/icassp.1995.480660
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
S. D. Halford
中科院分区：
文献类型：
--
作者：
G. Giannakis;S. D. Halford
盲分数间隔 (FS) 均衡器仅需要以高于符号率的速率获取输出样本来估计信道或均衡器。描述了直接从观测结果中寻找 FIR 迫零均衡器的方法，并开发了自适应版本。相反，大多数方法需要信道估计作为估计均衡器的第一步。对于噪声信道，FIR 均衡器显示出最小均方误差。 FS 均衡器不是唯一的，因此可以导出最佳的迫零参数 FIR 或非参数 IIR 均衡器，这样除了迫零之外，它们还可以最小化输出处的噪声功率。这些最佳均衡器不依赖于输入分布，并且对于确定性输入也有效。最后，如果加性噪声是白噪声，则它们不依赖于 SNR。
Blind fractionally spaced (FS) equalizers only require output samples taken at rates higher than the symbol rate to estimate the channel or the equalizer. Methods for finding FIR zero-forcing equalizers directly from the observations are described and adaptive versions are developed. In contrast, most methods require channel estimation as a first step to estimating the equalizer. For the noisy channel, the FIR equalizer is shown to be minimum mean-square error. FS equalizers are not unique, thereby allowing optimum zero-forcing parametric FIR or nonparametric IIR equalizers to be derived such that in addition to being zero-forcing, they also minimize the noise power at the output. These optimum equalizers do not depend on the input distribution and are also valid for deterministic inputs. Finally, if the additive noise is white, they do not depend on the SNR.