Hybrid higher order cepstrum and functional link network (HOCFLN) based blind equaliser

A. Alkulaibi, J. Soraghan, A. Hussain
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引用次数: 4

Abstract

A new hybrid higher order cepstrum (HOC) and functional link network (FLN) based blind equaliser (HOCFLN) is presented. The system initially uses the complex cepstrum of the 1-D slice of the fourth order cumulants of the unknown received signal to partially estimate the equaliser coefficients, then it switches to an FLN adaptive equaliser operating in the decision directed mode (DDM) to further improve the mean squared error (MSE) convergence. This method is flexible to accommodate both non-minimum phase MA and ARMA channels. It is shown that the new HOCFLN system gives significant performance improvements with less computational complexity compared to the conventional equalization algorithms. Performance results for channels exhibiting abrupt channel characteristic changes are also shown.
基于混合高阶倒频谱和功能链路网络(HOCFLN)的盲均衡器
提出了一种基于高阶倒频谱(HOC)和功能链路网络(FLN)的混合盲均衡器(HOCFLN)。该系统首先利用未知接收信号的四阶累积量的1-D切片的复倒谱来部分估计均衡器系数,然后切换到在决策定向模式(DDM)下工作的FLN自适应均衡器,以进一步提高均方误差(MSE)收敛性。该方法灵活地适应非最小相位MA和ARMA通道。实验结果表明,与传统的均衡算法相比,该算法具有显著的性能提升和较低的计算复杂度。文中还给出了信道特性突变时的性能结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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