Enhanced Tensor Based Semi-blind Estimation Algorithm for Relay-Assisted MIMO Systems

被引：2

作者：

Zhang, Jianshu ^{[1
]}

Nimr, Ahmad ^{[1
]}

Naskovska, Kristina ^{[1
]}

Haardt, Martin ^{[1
]}

机构：

[1] Ilmenau Univ Technol, Commun Res Lab, D-98684 Ilmenau, Germany

来源：

LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION, LVA/ICA 2015 | 2015年 / 9237卷

关键词：

KHATRI-RAO; DECOMPOSITIONS; UNIQUENESS;

D O I：

10.1007/978-3-319-22482-4_8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we study tensor based semi-blind estimation algorithms for one-way amplify-and-forward relaying systems. By exploiting the tensor structure of the equivalent channel, a bilinear alternating least squares (ALS) algorithm is proposed to jointly estimate the data and the channels at the destination. Sufficient conditions for the unique estimation are derived. The simulation results show that the proposed algorithms outperforms the state of the art algorithms.

引用

页码：64 / 72

页数：9

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