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Parafac-based blind channel identification using 4th-order cumulants

机译:基于PARAFAC的盲声识别使用4阶累积物

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摘要

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.
机译:最近建立了关节对角化和张量分解之间的强烈关系。本文提出了一种基于由第四阶输出累积物组成的3rd阶张量的PARAFAC分解的有限脉冲响应(FIR)信道识别方法。通过避免基于联合对角化的方法所需的追随操作,我们的方法被示出了改善经典联合对角化算法提供的估计性能。

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