基于parafac的4阶累积量盲信道识别

C. Fernandes, G. Favier, J. Mota
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引用次数: 2

摘要

最近,联合对角化和张量分解之间建立了很强的关系。本文提出了一种基于由四阶输出累积量组成的三阶张量的Parafac分解的有限脉冲响应(FIR)信道识别方法。该方法避免了基于联合对角化方法所需的预白化操作,提高了经典联合对角化算法的估计性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parafac-based blind channel identification using 4th-order cumulants
Strong relationships between joint- diagonalization and tensor decompositions have been established recently. In this paper we propose a finite impulse response (FIR) channel identification method based on the Parafac decomposition of a 3rd-order tensor composed of the 4-th order output cumulants. By avoiding the prewhitening operation required by joint-diagonalization based methods, our method is shown to improve the estimation performance provided by the classic joint-diagonalization algorithm.
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