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A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems
IEEE Transactions on Signal Processing ( IF 4.6 ) Pub Date : 2020-01-01 , DOI: 10.1109/tsp.2020.2994385
Eleftherios Kofidis

Filter bank-based multicarrier (FBMC) systems have attracted increasing attention recently in view of their many advantages over the classical cyclic prefix (CP)-based orthogonal frequency division multiplexing (CP-OFDM) modulation. However, their more advanced structure (resulting in, for example, self interference) complicates signal processing tasks at the receiver, including synchronization, channel estimation and equalization. In a multiple-input multiple-output (MIMO) configuration, the multi-antenna interference has also to be taken into account. (Semi-) blind receivers, of increasing interest in (massive) MIMO systems, have been little studied so far for FBMC and mainly for the single-antenna case only. The design of such receivers for flexible MIMO FBMC systems, unifying a number of existing FBMC schemes, is considered in this paper through a tensor-based approach, which is shown to encompass existing joint channel estimation and data detection approaches as special cases, adding to their understanding and paving the way to further developments. Simulation-based results are included, for realistic transmission models, demonstrating the estimation and detection performance gains from the adoption of these receivers over their training only-based counterparts.

中文翻译:

灵活多载波 MIMO 系统中基于张量的联合信道估计/数据检测方法

基于滤波器组的多载波 (FBMC) 系统由于与基于经典循环前缀 (CP) 的正交频分复用 (CP-OFDM) 调制相比具有许多优势,因此最近引起了越来越多的关注。然而,它们更先进的结构(例如导致自干扰)使接收器的信号处理任务复杂化,包括同步、信道估计和均衡。在多输入多输出 (MIMO) 配置中,还必须考虑多天线干扰。对(大规模)MIMO 系统越来越感兴趣的(半)盲接收器,到目前为止很少被研究用于 FBMC,主要仅针对单天线情况。用于灵活的 MIMO FBMC 系统的此类接收器的设计,统一了许多现有的 FBMC 方案,在本文中通过基于张量的方法进行考虑,该方法显示包含现有的联合信道估计和数据检测方法作为特殊情况,增加了对它们的理解并为进一步发展铺平了道路。对于真实的传输模型,包括基于仿真的结果,展示了采用这些接收器比仅基于训练的接收器带来的估计和检测性能增益。
更新日期:2020-01-01
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