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Semi-blind receivers for MIMO multi-relaying systems via rank-one tensor approximations

机译:通过秩一张量逼近用于MIMO多中继系统的半盲接收机

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摘要

This paper proposes two tensor-based receivers for multiple-input multiple-output (MIMO) multi-relaying systems capable of jointly estimating the channels and symbols in a semi-blind fashion. Assuming space-time coding at the source and relay stations, we propose an orthogonal design based on a parallel factor (PARAFAC) analysis of the coding structure. Exploiting the proposed tensor codes and the multi-linear structure of the resulting received signals, we show that the data model for every relay-assisted link after space-time combining/decoding has a Kronecker structure, which can be recast as a rank-one tensor corrupted by noise. The proposed receivers combine the tensor signals for the multiple cooperative links for joint channel and symbol estimation by coupling multiple rank-one tensor approximation problems. The first one is a coupled-SVD based receiver that estimates all the involved communication channels and transmitted symbols in closed form. The second one is an iterative solution based on alternating least squares. The performances of both receivers are evaluated by means of computer simulations in a variety of system configurations. Our results show the effectiveness of the proposed receivers and its good performance-complexity trade-off in comparison with competing receivers. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文针对多输入多输出(MIMO)多中继系统提出了两个基于张量的接收器,这些接收器能够以半盲方式联合估计信道和符号。假设在源站和中继站进行时空编码,我们基于编码结构的并行因子(PARAFAC)分析提出了正交设计。利用提出的张量代码和所得接收信号的多线性结构,我们表明,空时组合/解码后,每个中继辅助链路的数据模型都具有Kronecker结构,可以重铸为秩一张量被噪声破坏。所提出的接收器通过耦合多个秩一张量逼近问题,将用于联合信道和符号估计的多个合作链路的张量信号组合在一起。第一个是基于耦合SVD的接收器,它以封闭形式估算所有涉及的通信信道和传输符号。第二个是基于最小二乘的迭代解决方案。通过在各种系统配置中的计算机仿真来评估两个接收器的性能。我们的结果显示了与竞争性接收器相比,所提出的接收器的有效性及其良好的性能-复杂性折衷。 (C)2019 Elsevier B.V.保留所有权利。

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