Noise Robust Adaptive Blind Channel Identification Using Spectral Constraints
Noise Robust Adaptive Blind Channel Identification Using Spectral Constraints
复制标题
使用频谱约束的噪声鲁棒自适应盲通道识别
DOI：
10.1109/icassp.2006.1661220
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
P. Naylor
中科院分区：
文献类型：
--
作者：
N. Gaubitch;Md. Kamrul Hasan;P. Naylor
最近提出的一类自适应盲信道辨识算法被证明能够在观测信号不存在显著测量噪声的情况下成功地辨识各种类型的信道。在本文中，我们研究了噪声对这些算法的影响，并表明即使在中等的信噪比下，它们也是不收敛的。我们在自适应规则中引入了谱约束，证明了其对噪声的稳健性有很大的提高。给出了新算法的仿真结果，表明该算法在归一化投影错位方面有显著的性能改善
A class of adaptive blind channel identification algorithms were proposed recently and were demonstrated to be able to successfully identify various types of channels when the observed signals are free from significant levels of measurement noise. In this paper, we provide a study of the effects of noise on these algorithms and show that they misconverge even at moderate values of SNR. We introduce a spectral constraint into the adaptation rule and show that the robustness to noise can be considerably improved. Simulation results are presented for the new algorithm, which demonstrate a significant performance improvement in terms of normalized projection misalignment