Joint Adaptive Channel Estimation and Transceiver Design for Two-Way Relay Systems

Arun Joy, Vijay Kumar Chakka
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Abstract

This paper discusses a joint adaptive channel estimation and transceiver design scheme for MIMO two-way relay systems. In order to reduce the computational complexity at the transmitting nodes, the transceiver is implemented at the relay station. Adaptive transceiver consists of an adaptive post equalizer known as receive filter and an adaptive pre-equalizer known as transmit filter. The design of adaptive pre-equalizer requires the knowledge of Channel State Information (CSI) between nodes and relay station. So a channel tracking adaptive filter should be implemented at the relay. Due to the structure of a two-way relay system, the training signals used to train the receive filter can be used to train the channel tracking filter. Thus the adaptive channel estimator and receive filter work simultaneously. The channel estimate is then used to design the transmit filter. The adaptive filters are implemented using the NLMS algorithm. The performance of the proposed scheme is verified by making use of MATLAB simulations.
双向中继系统联合自适应信道估计与收发器设计
本文讨论了一种用于MIMO双向中继系统的联合自适应信道估计和收发器设计方案。为了降低发送节点的计算复杂度,收发器在中继站实现。自适应收发器由称为接收滤波器的自适应后均衡器和称为发送滤波器的自适应前均衡器组成。自适应预均衡器的设计需要了解节点和中继站之间的信道状态信息(CSI)。因此,应在继电器上实现信道跟踪自适应滤波器。由于双向中继系统的结构,用于训练接收滤波器的训练信号可以用于训练信道跟踪滤波器。因此,自适应信道估计器和接收滤波器同时工作。然后利用信道估计来设计发射滤波器。自适应滤波器采用NLMS算法实现。通过MATLAB仿真验证了该方案的有效性。
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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