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On channel estimation and detection for amplify-and-forward orthogonal frequency division multiplexing-based two-way relay systems under unknown non-reciprocal doubly selective fading channels

机译:未知非互易双选衰落信道下基于放大和转发正交频分复用的双向中继系统的信道估计和检测

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摘要

Most existing works on two-way relay systems (TWRSs) are based on the assumption that the channels are reciprocal. However, in high-speed moving scenarios, the channels between the multiple access channel phase and broadcast channel phase become non-reciprocal, which significantly complicates the indispensable channel estimation for TWRSs employing coherent detection. In this study, the challenging problem of channel estimation and data detection (CEaDD) is investigated for amplify-and-forward orthogonal frequency division multiplexing-based TWRSs under unknown non-reciprocal doubly selective fading channels. First, an independent CEaDD algorithm according to the minimum mean-square error (MMSE) criterion is proposed. To further improve system performance, an iterative joint CEaDD algorithm employing the variational Bayesian inference (VBI) framework is developed. It is shown by simulations that initialised by the proposed MMSE-based algorithm, the proposed VBI-based iterative algorithm converges in a few iterations and after convergence, its performance approaches the ideal case which assumes perfect knowledge of channel state information.
机译:关于双向中继系统(TWRS)的大多数现有工作都是基于信道互易的假设。但是,在高速移动场景中,多路访问信道阶段和广播信道阶段之间的信道是不可逆的,这使得采用相干检测的TWRS的必不可少的信道估计变得非常复杂。在这项研究中,研究了信道估计和数据检测(CEaDD)的挑战性问题,该信道问题是在未知的非互易双选衰落信道下基于放大和转发正交频分复用的TWRS。首先,提出了一种基于最小均方误差(MMSE)准则的独立CEaDD算法。为了进一步提高系统性能,开发了一种采用变分贝叶斯推理(VBI)框架的迭代联合CEaDD算法。通过仿真表明,由基于MMSE的算法初始化,基于VBI的迭代算法经过几次迭代收敛,收敛后,其性能达到了理想的情况,该情况假设对信道状态信息有充分的了解。

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  • 来源
    《Communications, IET》 |2014年第3期|378-389|共12页
  • 作者单位

    Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China.;

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