基于时域预处理的OFDM和FBMC平衰落快变信道均衡

Ahmad Hamdan, Hussein Hijazi, L. Ros, A. Ghouwayel, C. Siclet
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引用次数: 0

摘要

在多载波(MC)系统中,所有的均衡和检测过程都是在接收信号被投射到频域后的子载波级进行的。此外,在信道快速变化的情况下,传统接收机的性能受到干扰的严重影响。为了解决这个特定的问题,我们建议在频域均衡过程之前增加一个低复杂度的时域预处理。我们特别研究了正交频分复用(OFDM)和滤波器组多载波(FBMC)在单路径快速变化的瑞利信道上使用所提出的方案。考虑了两种时域预处理技术。在完美和不完美信道状态信息(CSI)场景下评估了它们对均衡性能的影响,显示了对合理信道估计误差的鲁棒性。对于这两种系统,由于预处理,误码率(BER)都得到了降低。此外,所提出的方案允许捕获时间分集,从而提高更快的信道变化的性能,而不是导致性能下降,显示了我们的方法的相关性。对于OFDM,与现有均衡器相比,这种预处理可以在显着降低复杂性的情况下达到最佳性能。对于FBMC,它允许在$F_{d}T_{S}=0.25$时获得10 dB的性能增益,同时避免误码率底效应。在接受码间干扰(ISI)的情况下,该增益在BER =$2\乘以$ $10^{-2}$时观察到,在假设ISI完全消除时,该增益在BER =1$0^{-3}$时观察到。对于后一种情况,我们获得的性能非常接近(计算上难以处理的)最佳最大似然均衡器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equalization with Time Domain Preprocessing for OFDM and FBMC in Flat Fading Fast Varying Channels
In Multi-Carrier (MC) systems, all equalization and detection procedures are classically performed at the sub-carrier level after the received signal is projected into the frequency domain. Besides, in the presence of rapid channel variation, conventional receivers suffer from critical performance degradation caused by interference. To address this specific problem, we propose to add a low-complexity time domain preprocessing prior to the frequency domain equalization process. We specifically study Orthogonal Frequency Division Multiplexing (OFDM) and Filter-Bank Multi-Carrier (FBMC) over single-path fast-varying Rayleigh channels when using the proposed scheme. Two time domain preprocessing techniques are considered. Their impact on equalization performance is evaluated in perfect and imperfect Channel State Information (CSI) scenarios, showing robustness to reasonable channel estimation errors. For both systems, a reduction in Bit Error Rate (BER) is obtained thanks to the preprocessing. Furthermore, the proposed scheme allows for capturing time diversity leading to improvement in performance for faster channel variation, rather than inducing performance degradation, showing the relevance of our approach. For OFDM, this preprocessing allows reaching the best performance compared to the existing equalizers at significant lower complexity. For FBMC, it permits to obtain a performance gain of 10 dB at $F_{d}T_{S}=0.25$, while avoiding the BER floor effect. This gain is observed at BER =$2\times$ $10^{-2}$ for scenarios accepting Inter-Symbol Interference (ISI), and at BER =1$0^{-3}$ when assuming perfect ISI cancellation. For the latter scenario, we obtain performance very close to the (computationally intractable) optimum Maximum-Likelihood equalizer.
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